Temporal vs Restate

Agent loops

1. agent builderI run LLM agent loops as durable workflows — model and tool calls as checkpointed, retried steps that survive crashes mid-run

   weight 3 · round drawn
   Temporal✓fullcommunity9/10

   Temporal has a dedicated AI/agent page describing exactly this use case — long-running agent loops calling LLMs and tools, wrapped as Workflows/Activities with automatic checkpointing, retries, and crash/Worker-restart recovery — plus a concrete OpenAI Agents SDK integration and a durable agentic-loop cookbook with Claude tool calling. Community evidence corroborates durable execution and retry semantics in production use, though one report notes rough edges in error/anomaly handling and documentation quality. Missing for 10: independent hands-on verification specifically of an LLM-agent workflow (vs. general workflow durability) and no third-party benchmark of failure-recovery behavior in agent loops.

   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Temporal's integration with the OpenAI Agents SDK for Python lets you run agents as Temporal Workflows.”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”
   • [claimed-docs] “Call an LLM from a durable Temporal Workflow in Python using the OpenAI API library.”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”
   • [community] “Temporal is completely above and beyond Asyncio. It's a full scheduling of work and queues that's cross-machine, cross-language, and very tr…”

   proof ↗⚑ flag

   Restate✓fullcommunity9/10

   Restate's docs extensively document durable execution for agent loops: ctx.run checkpoints LLM/tool calls, automatic retries with exponential backoff, crash recovery, durable timers, human-in-the-loop, and dedicated AI-agent patterns (sequential, parallel, orchestrator, rollback/compensation) explicitly built for agentic workflows. Independent HN commentary corroborates real-world usage of durable execution, though not agent-loop-specific. missing for 10: independent/hands-on evidence specifically validating agent-loop crash recovery in production (community evidence is about general durable execution, not LLM agent loops specifically).

   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Build AI agents that survive crashes and recover automatically. Every LLM call, tool execution, and routing decision is durably persisted.”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “By default, Restate does infinite retries with an exponential backoff strategy.”
   • [claimed-docs] “Agents that pause for human approval and resume when it arrives, even across restarts and infrastructure changes.”
   • [claimed-docs] “Chain agentic and traditional steps in sequence. Each step is recorded for automatic recovery.”
   • [claimed-docs] “Have an agent generate output, evaluate it with a second LLM call, and loop until quality meets your criteria. Each iteration is checkpointe…”
   • [claimed-docs] “An orchestrator agent dynamically plans tasks and dispatches them to worker agents. Plans and results are durably persisted.”
   • [claimed-docs] “Guaranteed compensation: If the main workflow fails, compensation handlers are reliably executed”
   • [community] “the restate server does handle the durable execution journal / orchestration, while the user code runs in a separate process, we don't host …”

   proof ↗⚑ flag

Ai integrations

1. agent builderFirst-party integrations wrap my AI stack — AI SDKs, agent frameworks, model providers — so agent steps get durability without glue code

   weight 2 · round to Restate
   Temporal~partialclaimed6/10

   Temporal ships a first-party integration with the OpenAI Agents SDK (Python) that runs agents as Workflows with durable, non-repeated model calls, plus a cookbook for durable agent loops with Claude and raw OpenAI API calls, showing genuine glue-code elimination for those specific stacks. Missing for 10: broader first-party SDK coverage beyond OpenAI Agents SDK/Anthropic cookbook, evidence of framework integrations (LangChain, LlamaIndex, Vercel AI SDK), and independent/hands-on confirmation of these integrations working in production.

   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Temporal's integration with the OpenAI Agents SDK for Python lets you run agents as Temporal Workflows.”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”
   • [claimed-docs] “Call an LLM from a durable Temporal Workflow in Python using the OpenAI API library.”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”

   proof ↗⚑ flag

   Restate~partialclaimed7/10

   Restate documents explicit first-party integrations for AI stacks: the Vercel AI SDK ("excellent fit for Restate integration"), the OpenAI Agents SDK ("fault-tolerant agent execution with automatic retries and durable state"), and observability integration with Langfuse for tracing LLM calls/tool executions, plus a library of durable agent patterns (multi-agent, human-in-the-loop, tools-as-services) that wrap durability around agent workflows without extra glue code. However, this is limited to a small named set of frameworks/providers (no broad list of model providers or other popular agent frameworks like LangChain/LlamaIndex/CrewAI), and all evidence is vendor docs with no independent/hands-on confirmation of how seamless these specific SDK integrations are in practice. Missing for 10: broader roster of first-party model-provider/framework integrations, independent hands-on reports validating these SDK integrations work glue-code-free.

   • [claimed-docs] “The Vercel AI SDK is an excellent fit for Restate integration.”
   • [claimed-docs] “Integrate OpenAI Agents SDK with Restate for fault-tolerant agent execution with automatic retries and durable state.”
   • [claimed-docs] “Trace and monitor your Restate AI agents with Langfuse. Get full visibility into LLM calls, tool executions, and workflow steps.”
   • [claimed-docs] “Route tasks between specialized agents with durable decisions. Coordinate agents within the same process using handoffs and tools.”
   • [claimed-docs] “Deploy complex tool logic as separate durable services. Scale tools independently, use any language, and get end-to-end durability.”

   proof ↗⚑ flag

Streaming

1. ai-native userI stream live progress — step updates or model tokens — from a running workflow into my frontend as it executes

   weight 2 · round to Temporal
   Temporal~partialclaimed4/10

   Temporal supports Signals/Queries/Updates and Web UI state visibility, which can be used to relay step updates from a workflow (e.g. via Query polling or Signal-based push), and its AI docs mention agent loops calling LLMs/tools, but there is no documented mechanism for streaming token-level or real-time push updates directly to a frontend — Queries are pull-based and Updates/Signals are not designed for continuous streaming. missing for 10: a documented real-time streaming/push API (e.g. websockets/SSE) to a frontend, token-level streaming support, and any hands-on example of live UI progress updates from a running workflow.

   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”

   proof ↗⚑ flag

   Restate—none0/10

   The evidence pack covers durable execution, retries, state, timers, and human-approval signals, but nothing describes streaming live step updates or model tokens from a running workflow to a frontend (e.g., SSE/WebSocket support or streaming handler responses). Missing for 10: any documentation of streaming outputs, live progress push to clients, or token-by-token delivery mechanisms.

   ⚑ flag

Agent access

1. ai-native userPoint an agent at llms.txt or agent-oriented docs

   weight 2 · round drawn
   Temporal✓fullprobed9/10

   A direct probe confirms https://docs.temporal.io/llms.txt returns HTTP 200 and is a structured llms.txt index of Temporal's docs, plus Temporal has dedicated agent-oriented docs (docs.temporal.io/ai) for AI-native use cases. Missing for 10: independent third-party confirmation that agents successfully consume this file in practice.

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.temporal.io/llms.txt # Temporal Platform Documentation > This file is a structured index of Tempor…”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”

   proof ↗⚑ flag

   Restate✓fullprobed9/10

   Restate has a confirmed live llms.txt file (HTTP 200) at docs.restate.dev/llms.txt, plus a dedicated AI-assistant/coding-agent plugin page teaching agents how to build with Restate, satisfying the agent-oriented docs story. missing for 10: no independent/community confirmation that agents actually consume llms.txt successfully in practice.

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.restate.dev/llms.txt # Restate > Restate is the simplest way to build resilient applications. - […”
   • [claimed-docs] “The Restate plugin teaches your coding agent how to build Restate apps: Durable Execution, service types, SDK APIs, common pitfalls, and AI …”
   • [claimed-docs] “The Restate documentation and templates integrate with AI coding agents like Claude Code, Codex, and Cursor so you can get expert help while…”

   proof ↗⚑ flag

2. ai-native userRun the product headlessly / in CI for automation

   weight 2 · round drawn
   Temporal✓fullclaimed8/10

   Temporal ships an official CLI (available on macOS/Linux/Windows/Docker) and a local dev server ('temporal server start-dev'), plus Workers/Workflows that run headlessly as background processes with no UI requirement, making it well-suited for CI/automation pipelines; docs also describe a test server for CI-friendly integration testing with time-skipping. missing for 10: no explicit CI pipeline example (e.g., GitHub Actions) or independent hands-on report confirming CI usage.

   • [claimed-docs] “The CLI includes a local Temporal development service for fast feedback while building or testing your application.”
   • [claimed-docs] “The CLI is available for macOS, Linux, and Windows, or as a Docker image.”
   • [github] “temporal server start-dev”
   • [claimed-docs] “Because the test server supports skipping time, use the test server for both end-to-end and integration tests with Workers.”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate is distributed as a single self-contained binary with no external dependencies, deployable to containers, VMs, Kubernetes, serverless, and can be invoked via HTTP/CLI/typed clients without any UI, making it well-suited for headless/CI automation; it also has a documented CLI for introspection and management. missing for 10: no explicit CI pipeline example/tutorial or independent hands-on report confirming headless CI usage.

   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”
   • [claimed-docs] “Restate is a single self-contained binary. No external dependencies needed.”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster, making it easy to ru…”
   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”
   • [claimed-docs] “You can use the CLI to interact with Restate, and manage your services, deployments and invocations.”
   • [claimed-docs] “Use typed clients from external applications to invoke Restate handlers”
   • [claimed-docs] “To call a function over HTTP, send a request to the Restate Server, specifying the service and the function you want to invoke.”

   proof ↗⚑ flag

3. ai-native userUse an official CLI

   weight 2 · round drawn
   Temporal✓fullprobed8/10

   Temporal ships an official, well-documented CLI (temporal) available on macOS/Linux/Windows/Docker, including a local dev server, batch/query commands, and coverage of core operations (start/query/signal workflow executions), making it usable for scripting and automating agentic workflows. missing for 10: independent/hands-on confirmation of CLI usage, and explicit AI-native automation features like structured JSON output or agent-specific CLI subcommands.

   • [claimed-docs] “The CLI includes a local Temporal development service for fast feedback while building or testing your application.”
   • [claimed-docs] “The CLI is available for macOS, Linux, and Windows, or as a Docker image.”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “Show the progress of an ongoing batch job. Pass a valid job ID to display its information”
   • [github] “temporal server start-dev”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Restate✓fullprobed8/10

   Restate ships an official CLI used to interact with the server, manage services/deployments/invocations, and inspect state (restate-docs-10, restate-docs-43, restate-probe-4), which is core to its agentic/durable-execution workflows for AI-native users. Missing for 10: no independent/hands-on community corroboration specifically praising the CLI, and no detail on AI-native-specific CLI features (e.g., natural-language or agent-invocation commands).

   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “You can use the CLI to interact with Restate, and manage your services, deployments and invocations.”
   • [probe] “official CLI documented at https://docs.restate.dev/installation”

   proof ↗⚑ flag

4. ai-native userDrive the product through a documented public API

   weight 3 · round to Restate
   Temporal✓fullprobed7/10

   Temporal exposes a well-documented client API (start/query/signal/list workflow executions) plus a documented CLI and multi-language SDKs, and even publishes an llms.txt AI-friendly doc index, making it programmatically drivable and discoverable by AI agents. However, probes show no machine-readable OpenAPI/REST spec is published (all openapi.json/swagger paths 404), so 'documented public API' relies on prose docs/SDK references rather than a formal spec. Missing for 10: a machine-readable OpenAPI/gRPC spec exposed publicly, and independent community confirmation of API completeness/stability for AI-driven use.

   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal application”
   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.temporal.io/llms.txt # Temporal Platform Documentation > This file is a structured index of Tempor…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”

   proof ↗⚑ flag

   Restate✓fullprobed8/10

   Restate documents multiple ways to drive the product programmatically: HTTP invocation, typed SDK/ingress clients across languages, a CLI, an Admin API, and an Introspection SQL API, plus per-service OpenAPI 3.1 specs for handlers — all first-party documented and usable by an AI-native/agentic consumer. Missing for 10: no global top-level OpenAPI spec was found (probe shows 404s at common paths) and no independent/hands-on corroboration of API completeness beyond vendor docs.

   • [claimed-docs] “To call a function over HTTP, send a request to the Restate Server, specifying the service and the function you want to invoke.”
   • [claimed-docs] “Use typed clients from external applications to invoke Restate handlers”
   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “There are three ways to invoke a handler: over HTTP, using typed clients, or through Kafka topics.”
   • [claimed-docs] “The Restate SDK client library lets you invoke Restate handlers from anywhere in your application.”
   • [claimed-docs] “You can use the CLI to interact with Restate, and manage your services, deployments and invocations.”
   • [claimed-docs] “Inspect the status of invocations/services.”
   • [claimed-docs] “Cluster state endpoint”
   • [claimed-docs] “Returns the OpenAPI 3.1 specification for the service, describing all handlers and their request/response schemas.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.restate.dev/openapi.json, https://docs.restate.dev/swagger.json, https://docs.restate.d…”
   • [probe] “official CLI documented at https://docs.restate.dev/installation”

   proof ↗⚑ flag

5. ai-native userIssue scoped/least-privilege API credentials for an agent

   weight 2 · round to Temporal
   Temporal~partialclaimed4/10

   Temporal Cloud documents 'Service Accounts & API Keys' and 'User Roles' as pricing-tier features, implying some capability to issue scoped credentials, and Temporal is positioned for building AI agent workflows (docs-9, docs-25, docs-33). However, there is no documentation describing fine-grained, least-privilege credential issuance specifically scoped to an individual AI agent's actions or tools. Missing for 10: agent-specific credential scoping, least-privilege policy examples for agents, documentation tying API keys/service accounts to agent identity rather than general platform access control.

   • [claimed-docs] “99.9% SLA, 99.99% HA options Multi-Cloud & Multi-Region User Roles Service Accounts & API Keys Audit Logging”
   • [claimed-docs] “User Roles * Service Accounts & API Keys * Audit Logging * Workflow Management * Workflow Availability”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”

   proof ↗⚑ flag

   Restate—none0/10

   Restate's security docs describe request identity verification and restricting network access to services (proxying), but there is no evidence of issuing scoped/least-privilege API credentials or tokens specifically for AI agents (e.g., per-agent API keys, OAuth-style scopes, or permission policies).

   • [claimed-docs] “Restate has a native request identity feature which can be used in the SDK to cryptographically verify that requests have come from a partic…”
   • [claimed-docs] “Only Restate needs to be able to make requests to your services. The Restate Server will proxy all requests for these services.”
   • [claimed-docs] “Restrict access to Restate services”

   proof ↗⚑ flag

6. ai-native userBuild against official SDKs

   weight 2 · round to Restate
   Temporal✓fullclaimed7/10

   Temporal ships official SDKs (TypeScript, Python, etc.) with dedicated AI-agent integration docs (OpenAI Agents SDK, Claude tool-calling cookbook) showing agentic loops built directly against the SDK primitives (Workflows/Activities) with durable retries and state survival. This directly supports building AI-native agent applications on official SDKs rather than community wrappers. Missing for 10: independent/hands-on developer reports specifically building AI agents with the SDK, and a complete list of all officially supported languages beyond TS/Python in the AI context.

   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal application”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”
   • [claimed-docs] “Temporal's integration with the OpenAI Agents SDK for Python lets you run agents as Temporal Workflows.”
   • [claimed-docs] “Call an LLM from a durable Temporal Workflow in Python using the OpenAI API library.”
   • [claimed-docs] “An Activity is a normal function or method that executes a single, well-defined action (either short or long running), such as calling anoth…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”

   proof ↗⚑ flag

   Restate✓fullcommunity8/10

   Restate ships official SDKs for TypeScript, Java/Kotlin, Python, Go, and Rust (restate-gh-2), with extensive first-party documentation on building AI agents, durable agent patterns, and direct integrations with AI-specific SDKs like OpenAI Agents SDK and Vercel AI SDK (restate-docs-88, restate-docs-89, restate-docs-15-17). Community evidence corroborates real-world SDK usage (restate-comm-1, restate-comm-3) though feedback is general rather than AI-specific; missing for 10: hands-on independent review of the AI-agent-specific SDK ergonomics and broader third-party corroboration beyond a single HN thread.

   • [github] “Restate supports the following SDKs: * [Typescript] * [Java and Kotlin] * [Python] * [Go] * [Rust]”
   • [claimed-docs] “The Vercel AI SDK is an excellent fit for Restate integration.”
   • [claimed-docs] “Integrate OpenAI Agents SDK with Restate for fault-tolerant agent execution with automatic retries and durable state.”
   • [claimed-docs] “Build AI agents that survive crashes and recover automatically. Every LLM call, tool execution, and routing decision is durably persisted.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [community] “The cloud setup was super fast! I used it for an existing app + restate TS sdk, really took a few steps to get things up and running! Lookin…”
   • [community] “Being fairly familiar with Temporal, I definitely appreciate your cleaner architectural choices. Add a Go SDK and I'll definitely give this …”

   proof ↗⚑ flag

7. ai-native userSubscribe to events via webhooks

   weight 2 · round to Restate
   Temporal—none0/10

   No evidence Temporal offers webhook subscriptions for events; its messaging model is Signals/Queries/Updates and client polling, not outbound webhooks, and no docs mention webhook subscription support.

   ⚑ flag

   Restate✓fullclaimed7/10

   Restate explicitly documents durable webhooks: 'Any handler can be a durable webhook endpoint. No need to do anything special or extra!' with automatic exactly-once processing and idempotency-key deduplication of incoming events, plus broader signal/event handling for agent coordination and human approvals. This directly satisfies subscribing to events via webhooks for AI-native agentic workflows. Missing for 10: independent/hands-on corroboration of webhook subscription setup, and detail on webhook-specific security/verification beyond generic request-identity docs.

   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Any handler can be a durable webhook endpoint. No need to do anything special or extra!”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts.”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are **processed exactly once**, across failures and restarts.”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”

   proof ↗⚑ flag

Agentic features

1. ai-native userSet up automations that run autonomously in the background

   weight 2 · round to Temporal
   Temporal✓fullcommunity8/10

   Temporal provides durable Workflows, Schedules, Activities with automatic retries, and crash-proof execution that resumes exactly where it left off — the core primitives for autonomous background automation — and has dedicated docs/cookbooks for long-running agentic loops that call LLMs, wait on humans, and survive worker restarts. Community reports corroborate that Workflows run cross-machine and long-running without manual orchestration, though docs quality complaints exist on other issues. Missing for 10: independent hands-on validation specifically of the AI-agent autonomous background use case (current AI-specific evidence is vendor docs only).

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Temporal's integration with the OpenAI Agents SDK for Python lets you run agents as Temporal Workflows.”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”
   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”
   • [community] “Temporal is completely above and beyond Asyncio. It's a full scheduling of work and queues that's cross-machine, cross-language, and very tr…”

   proof ↗⚑ flag

   Restate✓fullclaimed7/10

   Restate's docs explicitly support durable background automation: durable timers/sleep/schedule, waiting for external events and webhooks, long-running process coordination, and human approvals, plus dedicated AI-agent durability guarantees (persisted LLM/tool calls, automatic recovery) that let agents run autonomously without babysitting. Missing for 10: independent/hands-on corroboration specifically of long-running autonomous background automations (community evidence is about general architecture, not this specific capability).

   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “A few lines turn your agent into a durable agent.”
   • [claimed-docs] “Build AI agents that survive crashes and recover automatically. Every LLM call, tool execution, and routing decision is durably persisted.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”
   • [claimed-docs] “If your handler runs on function-as-a-service platforms like AWS Lambda, Restate suspends the handler while it is sleeping, to free up resou…”

   proof ↗⚑ flag

2. ai-native userOperate the product with natural-language commands

   weight 2 · round drawn
   Temporal—none0/10

   Temporal's documented interfaces are code-based SDKs, a structured CLI, and a Web UI dashboard for workflow state — there is no evidence of any natural-language command interface, chat-based control, or AI copilot for operating Temporal itself. The AI-related docs (temporal-docs-9, -25, -33, -47) describe using Temporal to orchestrate LLM/agent workflows, not letting users control Temporal via natural language.

   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”

   proof ↗⚑ flag

   Restate—none0/10

   Restate is developer infrastructure (durable execution server, CLI, SDKs, typed HTTP APIs) with no evidence of a natural-language command interface for operating the product itself; the MCP server and CLI are for programmatic/coding-agent integration, not NL control of Restate's own operations.

   ⚑ flag

Api quality

1. ai-native userExplore an interactive API reference with runnable examples

   weight 2 · round drawn
   Temporal—none0/10

   Evidence shows only standard prose documentation and CLI/SDK guides; explicit probes for an OpenAPI/Swagger spec all returned 404, and no interactive API reference or runnable-example sandbox is mentioned anywhere in the pack.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [claimed-docs] “a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal application”
   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.temporal.io/llms.txt # Temporal Platform Documentation > This file is a structured index of Tempor…”

   proof ↗⚑ flag

   Restate—none0/10

   Evidence shows Restate can generate an OpenAPI 3.1 spec per service (restate-docs-76) and has admin API docs, but there is no evidence of an interactive, runnable API reference/playground on the docs site — in fact the probe explicitly found openapi.json/swagger.json endpoints returning 404 (restate-probe-2). No mention of a Swagger UI, try-it-now console, or embedded runnable examples anywhere in the pack.

   • [claimed-docs] “Returns the OpenAPI 3.1 specification for the service, describing all handlers and their request/response schemas.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.restate.dev/openapi.json, https://docs.restate.dev/swagger.json, https://docs.restate.d…”

   proof ↗⚑ flag

2. ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)

   weight 2 · round drawn
   Temporal—none0/10

   A direct probe for OpenAPI/swagger spec files at docs.temporal.io returned 404 on all candidate paths, and no evidence pack item shows a published machine-readable API spec (Temporal's API surface is documented via gRPC/proto and SDKs, not OpenAPI). The axis is applicable since Temporal exposes a Client/Cloud API, but no evidence shows a downloadable spec exists.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Restate—none0/10

   Restate exposes HTTP invocation and introspection APIs, but a direct probe for an OpenAPI/Swagger spec at all standard locations returned 404s, and no documentation mentions a downloadable machine-readable API spec.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.restate.dev/openapi.json, https://docs.restate.dev/swagger.json, https://docs.restate.d…”
   • [claimed-docs] “To call a function over HTTP, send a request to the Restate Server, specifying the service and the function you want to invoke.”
   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”

   proof ↗⚑ flag

3. ai-native userTest against a sandbox environment without touching production data

   weight 1 · round to Temporal
   Temporal✓fullclaimed7/10

   Temporal ships a CLI-based local development service and a dedicated test server (with time-skipping) explicitly for running end-to-end/integration tests without needing a production Temporal Service, effectively providing a sandbox for testing workflows and activities. This directly supports testing without touching production data, though the evidence doesn't explicitly discuss data isolation or seeding sandbox data. missing for 10: explicit documentation on production-data isolation/mocking, independent hands-on confirmation of sandbox fidelity, and any data-masking or synthetic-data tooling.

   • [claimed-docs] “The CLI includes a local Temporal development service for fast feedback while building or testing your application.”
   • [claimed-docs] “Because the test server supports skipping time, use the test server for both end-to-end and integration tests with Workers.”
   • [claimed-docs] “Because the test server supports skipping time, use the t”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “temporal server start-dev”

   proof ↗⚑ flag

   Restate~partialclaimed6/10

   Restate's TypeScript SDK ships a testing library that uses Testcontainers to spin up an isolated Restate Server in Docker for testing handlers, and docs describe local dev environment setup — both let a user test app logic without touching a production Restate deployment. However, this is generic developer testing tooling, not something framed or documented specifically as an AI-agent 'sandbox vs production' workflow, and there's no mention of test data isolation, staging environments, or independent corroboration of the testing experience. Missing for 10: explicit sandbox/staging environment guidance distinct from local Docker testing, AI-agent-specific sandbox framing, and community/hands-on validation of the testing workflow.

   • [claimed-docs] “This uses [Testcontainers](https://testcontainers.com/) to run a Restate Server in a Docker container and let you test your Restate handlers…”
   • [claimed-docs] “The Typescript SDK has a companion library which makes it easy to test against a Restate container”
   • [claimed-docs] “Utilities to test your handler logic.”
   • [claimed-docs] “Learn how to set up your local Restate development environment.”

   proof ↗⚑ flag

4. ai-native userRely on versioned APIs with a documented deprecation policy

   weight 2 · round to Restate
   Temporal—none0/10

   Evidence shows Temporal has 'Worker Versioning' features for versioning Workflow code (temporal-docs-7, temporal-docs-39), but this is about workflow-definition compatibility, not a documented deprecation policy for Temporal's own SDK/gRPC/HTTP APIs. No OpenAPI spec or API changelog with deprecation timelines was found (temporal-probe-2 shows all openapi.json paths 404), and no docs reference an API deprecation policy.

   • [claimed-docs] “You can declare each Workflow type to have a Versioning Behavior, either Pinned or Auto-Upgrade, in your Workflow config”
   • [claimed-docs] “This page defines some of the underlying concepts used in Worker Versioning ... Worker Deployments ... Worker Deployment Versions ... Versio…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Restate~partialclaimed3/10

   Restate documents versioning support for user services (immutable deployments, requests pinned to a single code version) via restate-docs-24/41, and SDK changelogs show incremental API evolution (restate-docs-44,73,74), but there is no documented deprecation policy for Restate's own APIs/SDKs that an AI-native consumer could rely on. missing for 10: an explicit deprecation policy or versioning guarantees for Restate's public APIs/SDKs, timeline for API sunset, and independent confirmation of long-term API stability.

   • [claimed-docs] “Restate then makes sure that requests start and end on the same version, by sending any retry attempts always to the same endpoint.”
   • [claimed-docs] “Restate helps via the concept of immutable deployments. When you deploy a version of your code, you giv”
   • [claimed-docs] “The new restate.iface lets you declare service interfaces, including input/output serdes, and use them to both implement the service and cal…”
   • [claimed-docs] “The new `restate.iface` lets you declare service interfaces, including input/output serdes, and use them to both **implement** the service a…”
   • [claimed-docs] “The SDK now generates a typed `<Type>IngressClient` for every impl-block service, virtual object, and workflow.”

   proof ↗⚑ flag

1. ai-native userPerform bulk operations across many items at once

   weight 2 · round to Temporal
   Temporal~partialclaimed6/10

   Temporal's CLI includes a documented 'batch' command for tracking bulk job progress, and the client API supports listing/signaling many workflow executions at once, indicating built-in bulk-operation support across workflows. However, evidence is thin — only one CLI reference to batch jobs with no detail on how batch signal/cancel/terminate operations are invoked or scoped, and no independent/hands-on confirmation of this specific capability. Missing for 10: fuller documentation of batch operation types (signal/cancel/terminate/query by visibility filter), examples of large-scale batch usage, and community validation of bulk operations at scale.

   • [claimed-docs] “Show the progress of an ongoing batch job. Pass a valid job ID to display its information”
   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”

   proof ↗⚑ flag

   Restate—none0/10

   Restate is a durable-execution/workflow engine; while it supports concurrency limits and orchestrating many invocations (restate-docs-4, restate-docs-11), there is no evidence of a bulk/batch operation API or UI for acting on many items at once as a single operation.

   ⚑ flag

2. ai-native userDefine rules that trigger actions automatically on events

   weight 3 · round to Temporal
   Temporal~partialclaimed7/10

   Temporal supports event-driven automation via Signals/Queries/Updates for external events, Schedules for time-based triggers, and automatic retries on failure events, and explicitly targets AI agent loops that react to events and resume after failures (temporal-docs-6, temporal-docs-5, temporal-docs-4, temporal-docs-9, temporal-docs-41). However, this is developer-defined workflow code rather than a declarative 'rules' interface, and no evidence shows a no-code/rule-authoring UI for defining event-trigger conditions. Missing for 10: a declarative rule-definition mechanism (vs. code-based signal handlers), independent hands-on validation of event-triggered automation specifically for AI use cases.

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”

   proof ↗⚑ flag

   Restate~partialclaimed6/10

   Restate supports event-triggered automation via durable webhooks, external events, timers/cron, and workflow patterns (human-in-the-loop, orchestrator, multi-agent) that react to signals and trigger durable actions, but this is a developer-defined-code framework rather than a declarative 'rules engine' for non-developers to define trigger-action rules. missing for 10: a declarative rule-definition UI/DSL for non-coders, independent hands-on evidence of rule-based automation working end-to-end, and explicit 'if-this-then-that' style rule authoring rather than SDK code.

   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Any handler can be a durable webhook endpoint. No need to do anything special or extra!”
   • [claimed-docs] “Agents that pause for human approval and resume when it arrives, even across restarts and infrastructure changes.”
   • [claimed-docs] “Restate provides durable, fault-tolerant timers that allow you to: Sleep... Send delayed messages... Set timeouts... Implement patterns like…”
   • [claimed-docs] “Build async notification systems for your agents with just a few lines of code.”

   proof ↗⚑ flag

3. ai-native userSchedule recurring jobs or workflows

   weight 2 · round to Temporal
   Temporal✓fullclaimed9/10

   Temporal has a first-class Schedules feature (and legacy Cron Jobs) explicitly documented for starting Workflow Executions at specific times, with recurring/repeated execution, retries, and durable state, plus CLI/UI/Web tooling to manage them — directly enabling scheduled/recurring AI workflows (e.g., agent loops per temporal-docs-9/25/33). missing for 10: independent hands-on validation specifically of the Schedules feature (community evidence is about general durability, not scheduling specifically).

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [claimed-docs] “Workflow Definition ... Workflow Execution ... Schedules ... Dynamic Handler ... Cron Job”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times. Schedules provide a more flexible and user-friendly ap…”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Build a durable agentic loop in Python with Claude tool calling and Temporal.”

   proof ↗⚑ flag

   Restate~partialclaimed5/10

   Restate provides durable timers to sleep/schedule/wait for events (restate-docs-5, restate-docs-21), which can be composed into recurring workflows (e.g., a handler that re-schedules itself), and supports human/webhook triggers (restate-docs-6, restate-docs-20). However, there's no explicit first-class 'recurring job' or cron-style scheduler documented — recurrence would require custom loop/timer logic rather than a built-in feature. Missing for 10: explicit cron/interval scheduling API, dashboard/UI for managing recurring jobs, and independent evidence of recurring-job use cases in production.

   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “If your handler runs on function-as-a-service platforms like AWS Lambda, Restate suspends the handler while it is sleeping, to free up resou…”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”

   proof ↗⚑ flag

4. ai-native userVersion, review, and roll back my automations

   weight 1 · round to Restate
   Temporal~partialclaimed5/10

   Temporal's Worker Versioning feature lets teams declare Pinned vs Auto-Upgrade behavior per Workflow type, giving a real mechanism for managing multiple code versions of an automation (temporal-docs-7, temporal-docs-39), and the Web UI exposes execution state/history useful for reviewing runs (temporal-docs-8, temporal-docs-40). However, there's no documented explicit 'rollback' UI/action or version diff/review tooling analogous to a no-code automation platform's version history — it's a developer-code versioning mechanism rather than a click-to-review/rollback feature. Missing for 10: explicit rollback UI/CLI command, workflow-definition diff/audit trail, and independent evidence of using versioning for rollback in practice.

   • [claimed-docs] “You can declare each Workflow type to have a Versioning Behavior, either Pinned or Auto-Upgrade, in your Workflow config”
   • [claimed-docs] “This page defines some of the underlying concepts used in Worker Versioning ... Worker Deployments ... Worker Deployment Versions ... Versio…”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes. It ships with every Temporal CLI relea…”

   proof ↗⚑ flag

   Restate~partialclaimed6/10

   Restate documents immutable/versioned deployments that pin invocations to a single code version (restate-docs-24, restate-docs-41), an observability/control surface to inspect invocation journals and cancel/kill stuck agents (restate-docs-64, restate-docs-65), and explicit compensation/rollback patterns to undo partial agent work on failure (restate-docs-59, restate-docs-85). This covers the core of version/inspect/rollback for automations at the infrastructure level, but it's developer-facing (CLI/API/journal inspection) rather than a reviewable, user-facing change-history or diff UI. Missing for 10: a UI/dashboard for comparing or reviewing automation versions side-by-side, self-service 'rollback to previous deployment' action, and any independent/community corroboration that versioning or rollback works as documented in practice.

   • [claimed-docs] “Restate then makes sure that requests start and end on the same version, by sending any retry attempts always to the same endpoint.”
   • [claimed-docs] “Restate helps via the concept of immutable deployments. When you deploy a version of your code, you giv”
   • [claimed-docs] “Guaranteed compensation: If the main workflow fails, compensation handlers are reliably executed”
   • [claimed-docs] “Implement compensation and rollback mechanisms for agents that need to undo partial work when failures occur.”
   • [claimed-docs] “Full visibility into agent execution. Inspect journals, export traces, and cancel or kill stuck agents.”
   • [claimed-docs] “Invocations list: See all running, suspended, and completed agent invocations”

   proof ↗⚑ flag

Local dev

1. backend developerOne command runs the whole engine locally, and testing utilities let me unit-test workflows with time skipping and mocked steps

   weight 2 · round to Temporal
   Temporal✓fullclaimed8/10

   Temporal's CLI provides a one-command local dev server (`temporal server start-dev`) that spins up a complete Temporal Service with Web UI, and the TypeScript testing suite explicitly supports a test server with time-skipping for unit/integration testing workflows and workers. Mocked activities/steps are implied by the testing-suite framework but not explicitly detailed in the pack. Missing for 10: explicit documentation of mocking individual activities/steps in unit tests, and independent/hands-on confirmation of the testing workflow experience.

   • [claimed-docs] “The CLI includes a local Temporal development service for fast feedback while building or testing your application.”
   • [github] “temporal server start-dev”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [claimed-docs] “Because the test server supports skipping time, use the test server for both end-to-end and integration tests with Workers.”
   • [claimed-docs] “Because the test server supports skipping time, use the t”

   proof ↗⚑ flag

   Restate~partialclaimed5/10

   Restate ships as a single self-contained binary with no external dependencies that can run a local dev environment (restate-docs-26, restate-docs-13, restate-docs-75), and it provides testing utilities/companion libraries (Testcontainers-based) to test handler logic against a real Restate server (restate-docs-23, restate-docs-31, restate-docs-79). However, the evidence never mentions time-skipping/simulated clocks for durable timers in tests, nor explicit mocking of steps within unit tests — testing appears to rely on spinning up a real container rather than in-memory time-travel mocks. Missing for 10: explicit time-skipping/clock-mocking test utility, explicit mocked-step/unit-test isolation feature, and an explicit single 'one command' CLI invocation for the whole engine.

   • [claimed-docs] “Restate is a single self-contained binary. No external dependencies needed.”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”
   • [claimed-docs] “Learn how to set up your local Restate development environment.”
   • [claimed-docs] “This uses [Testcontainers](https://testcontainers.com/) to run a Restate Server in a Docker container and let you test your Restate handlers…”
   • [claimed-docs] “The Typescript SDK has a companion library which makes it easy to test against a Restate container”
   • [claimed-docs] “Utilities to test your handler logic.”

   proof ↗⚑ flag

Approvals

1. backend developerA workflow pauses for human approval or input for hours or days and resumes the moment the response arrives

   weight 3 · round drawn
   Temporal✓fullcommunity8/10

   Temporal explicitly documents Signals/Updates for external input, durable state that survives multi-day waits, and directly states workflows resume after 'a multi-day wait for a human to approve a step' (temporal-docs-41, temporal-docs-6, temporal-docs-38, temporal-docs-9). Community evidence corroborates long-running, stateful workflow execution in production use. missing for 10: no hands-on/independent case study specifically demonstrating a human-approval pause-and-resume in production, and no mention of timeout/escalation handling for indefinite waits.

   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [community] “Temporal is completely above and beyond Asyncio. It's a full scheduling of work and queues that's cross-machine, cross-language, and very tr…”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate docs explicitly describe durable coordination primitives for human approvals, external events, and durable timers/sleep that can span hours or days, with suspension freeing resources on FaaS while waiting, and automatic resumption when signals arrive (restate-docs-6, restate-docs-20, restate-docs-5, restate-docs-21). This directly matches pausing for human approval/input and resuming on response. Missing for 10: no independent/hands-on case study specifically demonstrating a multi-day human-approval pause in production, and no detail on UI/notification mechanisms for prompting the human.

   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”
   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “If your handler runs on function-as-a-service platforms like AWS Lambda, Restate suspends the handler while it is sleeping, to free up resou…”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”

   proof ↗⚑ flag

Signals

1. backend developerI send signals, events, or messages into a specific running workflow from outside — an API call, webhook, or another workflow

   weight 2 · round drawn
   Temporal✓fullclaimed8/10

   Temporal explicitly documents Signals, Queries, and Updates as first-class message types for sending data into running workflows, describes workflows as 'stateful web services that can receive messages' with handler endpoints, and the client API/CLI exposes 'Signal a Workflow Execution' plus batch signal capability — directly enabling external API calls, webhooks, or other workflows to inject events into a running workflow. missing for 10: no independent/hands-on evidence specifically validating signal delivery reliability or webhook-triggered signal patterns beyond docs.

   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”
   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “Show the progress of an ongoing batch job. Pass a valid job ID to display its information”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate provides durable coordination primitives explicitly for external signals/events/human approvals (restate-docs-6, restate-docs-20, restate-docs-48), supports invoking handlers via HTTP, typed clients, or Kafka from outside services (restate-docs-8, restate-docs-9, restate-docs-28, restate-docs-39), and documents durable webhook endpoints with exactly-once processing for external event delivery into running workflows (restate-docs-37, restate-docs-38, restate-docs-81). This directly covers sending signals/events/messages from APIs, webhooks, or other workflows into a running workflow. missing for 10: independent/hands-on confirmation of this specific external-signal delivery pattern (community evidence only covers general SDK setup, not event/webhook injection into running workflows).

   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”
   • [claimed-docs] “Agents that pause for human approval and resume when it arrives, even across restarts and infrastructure changes.”
   • [claimed-docs] “To call a function over HTTP, send a request to the Restate Server, specifying the service and the function you want to invoke.”
   • [claimed-docs] “Use typed clients from external applications to invoke Restate handlers”
   • [claimed-docs] “There are three ways to invoke a handler: over HTTP, using typed clients, or through Kafka topics.”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Any handler can be a durable webhook endpoint. No need to do anything special or extra!”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are **processed exactly once**, across failures and restarts.”

   proof ↗⚑ flag

Metrics

1. platform engineerFailure rates, latencies, and queue depths export to my observability stack, and alerts fire when workflows misbehave

   weight 1 · round to Temporal
   Temporal~partialclaimed6/10

   Temporal Cloud explicitly supports streaming metrics (including failure/latency-type signals) into Prometheus, Datadog, Grafana Cloud, New Relic, Elastic via an OpenMetrics/Prometheus endpoint, and separate docs cover task-queue/worker performance metrics for tuning. However, there's no first-party documentation of alerting rules or thresholds being configured within Temporal itself (alerting is presumably left to the downstream observability tool), and self-hosted metrics/alerting setup isn't detailed. Missing for 10: explicit alerting configuration/integration guidance, self-hosted metrics export details, and independent confirmation that queue-depth/latency dashboards work as advertised in production.

   • [claimed-docs] “Start with the OpenMetrics Quickstart to create a Service Account, generate an API key, and stream metrics into Datadog, Elastic, Grafana Cl…”
   • [claimed-docs] “Use the pages in this guide for practical methods for querying Task Queue information, and strategies for tuning Workers and Task Queue proc…”
   • [claimed-docs] “This guide covers metrics and configurations that drive the efficiency of your Worker fleet.”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes. It ships with every Temporal CLI relea…”

   proof ↗⚑ flag

   Restate~partialclaimed4/10

   Restate exposes invocation status, journals, and traces via CLI, Introspection SQL API, and admin API, and docs mention 'export traces' for observability-control, which supports building metrics/alerts pipelines, but there is no concrete evidence of native export to standard observability stacks (Prometheus/OpenTelemetry metrics, Grafana dashboards) or built-in alerting on failure rates/latencies/queue depths. missing for 10: documented Prometheus/OTel metrics export, native alerting integration, queue-depth/latency dashboards, and independent confirmation these integrations work in practice.

   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “Full visibility into agent execution. Inspect journals, export traces, and cancel or kill stuck agents.”
   • [claimed-docs] “Invocations list: See all running, suspended, and completed agent invocations”
   • [claimed-docs] “Inspect the status of invocations/services.”
   • [claimed-docs] “Cluster state endpoint”
   • [claimed-docs] “Trace and monitor your Restate AI agents with Langfuse. Get full visibility into LLM calls, tool executions, and workflow steps.”

   proof ↗⚑ flag

Replay

1. platform engineerI replay or rerun a failed workflow from its recorded history — optionally from a specific step — to debug and recover

   weight 2 · round to Restate
   Temporal~partialclaimed4/10

   Temporal's docs confirm durable execution history that lets workflows 'resume exactly where they left off' after failures (temporal-docs-1, temporal-docs-41), and the CLI/Web UI are positioned for managing, monitoring, and debugging workflow executions (temporal-docs-8, temporal-docs-40, temporal-docs-42, temporal-docs-26 batch job commands). However, the evidence pack never explicitly documents the specific 'replay' or 'reset workflow to a step' feature/CLI command that lets an engineer manually rerun a failed workflow from a chosen point in its history — the closest is generic resume-after-crash and debugging-via-UI language. Missing for 10: explicit documentation of a replay/reset-to-event command, guidance on selecting a specific historical step to resume from, and independent/hands-on confirmation that this workflow works as described.

   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes. It ships with every Temporal CLI relea…”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “Show the progress of an ongoing batch job. Pass a valid job ID to display its information”

   proof ↗⚑ flag

   Restate~partialclaimed5/10

   Restate automatically persists completed steps and resumes execution from the point of failure (restate-docs-1, restate-docs-15, restate-docs-18), and introspection tools (CLI/SQL API) expose invocation history (restate-docs-10). However, there is no documented explicit 'replay from a specific step' or manual rerun/time-travel debugging feature — recovery is automatic on retry/crash rather than an operator-triggered replay from an arbitrary chosen step. missing for 10: explicit support for manually triggering a replay/rerun of a completed or failed workflow from a chosen step, UI/CLI commands for selective replay, and independent/hands-on evidence of this debugging workflow in practice.

   • [claimed-docs] “Code automatically stores completed steps and resumes from where it left off when recovering from failures.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”

   proof ↗⚑ flag

Run visibility

1. platform engineerEvery run has a step-by-step timeline — inputs, outputs, retries, and errors per step — in a dashboard my team can search and filter

   weight 3 · round drawn
   Temporal~partialcommunity5/10

   Temporal's Web UI shows Workflow Execution state and metadata for debugging, and the CLI/visibility APIs let you list and query executions, which points toward a searchable dashboard with retry/error visibility per Activity (retries are automatic and Activities are the per-step unit). However, the evidence never explicitly documents fine-grained search/filter UI features or explicit per-step input/output display, and a hands-on community report notes that error/anomaly details can be 'buried in the event log' and hard to act on, undercutting the smoothness of the debugging experience. Missing for 10: explicit docs on search/filter capabilities in the Web UI, clear per-step input/output rendering evidence, and resolution of the community-reported difficulty surfacing errors.

   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes. It ships with every Temporal CLI relea…”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [community] “We migrated from an in-house redis queuing system to Temporal. The worst part has been error/anomaly handling: workflows can hit a state tha…”

   proof ↗⚑ flag

   Restate~partialcommunity5/10

   Restate documents strong introspection: an invocations list showing running/suspended/completed invocations, journal inspection, trace export, and a SQL Introspection API plus CLI for querying invocation/service state (restate-docs-64,65,66,10,43), which supports searchable, filterable visibility into steps, retries, and errors. However, a hands-on community comment explicitly notes Restate lacks the diagram/visualization of execution history that competitors like Step Functions provide (restate-comm-4), and no evidence describes a polished, purpose-built dashboard UI (only CLI/SQL API), so the 'dashboard' framing of the story is only partly substantiated. Missing for 10: explicit dashboard UI screenshots/documentation, confirmation of per-step input/output display in a UI, and independent corroboration that search/filter works well in practice.

   • [claimed-docs] “Full visibility into agent execution. Inspect journals, export traces, and cancel or kill stuck agents.”
   • [claimed-docs] “Invocations list: See all running, suspended, and completed agent invocations”
   • [claimed-docs] “Inspect the status of invocations/services.”
   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “You can use the CLI to interact with Restate, and manage your services, deployments and invocations.”
   • [community] “One thing that Step Functions probably has over Restate is the diagram visualization of your state machine definition and execution history.…”

   proof ↗⚑ flag

1. ai-native userDo everything through the API that I can do in the UI

   weight 2 · round to Restate
   Temporal~partialprobed6/10

   Temporal's client API (Start/Get Result/List/Query/Signal Workflow Executions) and CLI (`temporal` command for manage/monitor/debug) mirror much of what the Web UI shows for workflow execution state and debugging, and the CLI even ships the Web UI itself. However, there's no explicit documentation asserting full API/UI parity, and a probe for a public OpenAPI/REST spec returned 404s, leaving ambiguity about whether all UI-surfaced admin/account features (e.g., Cloud user roles, project org) are equally scriptable via API. missing for 10: explicit parity statement, public OpenAPI/REST spec, evidence that Cloud-console-only settings (users, projects, billing) are API-accessible.

   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes. It ships with every Temporal CLI relea…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [claimed-docs] “User Roles * Service Accounts & API Keys * Audit Logging * Workflow Management * Workflow Availability”

   proof ↗⚑ flag

   Restate✓fullclaimed7/10

   Restate explicitly states that all information available in its UI (invocation status, application state) is also exposed via the CLI and Introspection SQL API, and all core operations (invoking, managing, deploying) are done via HTTP/typed-client APIs rather than requiring the UI — a strong API-first design consistent with AI-native/programmatic use. Missing for 10: no exhaustive UI-feature-by-feature parity confirmation or independent hands-on report explicitly verifying no UI-only functionality exists.

   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “To call a function over HTTP, send a request to the Restate Server, specifying the service and the function you want to invoke.”
   • [claimed-docs] “Use typed clients from external applications to invoke Restate handlers”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”

   proof ↗⚑ flag

2. ai-native userExport all of my data in open formats and leave

   weight 3 · round to Temporal
   Temporal~partialclaimed3/10

   Temporal is open-source and self-hostable, meaning operators can run their own persistence layer (Docker/Kubernetes/manual deployment) rather than being locked into Temporal Cloud, which implies some data ownership/portability, but no evidence shows a documented data-export feature or open-format export of workflow histories/event logs. Missing for 10: explicit export/import tooling, documented open data formats (e.g., JSON/event-history export), and independent confirmation that self-hosted data is portable without vendor lock-in.

   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “temporal server start-dev”

   proof ↗⚑ flag

   Restate—none0/10

   Restate documents introspection (CLI, SQL API) and self-hosting/BYOC options, but there is no evidence of an explicit data-export mechanism or open-format export/backup tooling that would let a user extract all their data and migrate away. Community commentary even disputes the 'open source' framing due to the BSL license, further undercutting an openness/exit narrative. Missing for 10: documented bulk data export feature, explicit open-format (e.g. JSON/SQL dump) export tooling, and confirmation that self-hosted state is portable without vendor lock-in.

   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “You can use the CLI to interact with Restate, and manage your services, deployments and invocations.”
   • [claimed-docs] “You can use Restate Cloud, run a managed Restate region in your cloud account with Restate BYOC, or operate Restate yourself.”
   • [community] “Looks very interesting, but calling it Open Source is misleading. BSL is not "minimal Amazon defense". It effectively prevents any meaningfu…”

   proof ↗⚑ flag

3. ai-native userRead the product's source under an open license

   weight 2 · round to Temporal
   Temporal✓fullclaimed8/10

   Temporal's server and CLI are open-source on GitHub (temporalio/temporal), confirming source is readable under an open license, and self-hosted guide explicitly refers to it as 'open source infrastructure software.' missing for 10: explicit license file/name citation (e.g., MIT/Apache-2.0 text) and confirmation that all SDKs (not just server) are open source.

   • [github] “temporal server start-dev”
   • [github] “Temporal—durable execution platform”
   • [claimed-docs] “This guide shows you how to self-host open source infrastructure software that orchestrates your durable applications.”

   proof ↗⚑ flag

   Restate!disputedcontradicted4/10

   Restate's source is publicly viewable on GitHub (restate-gh-1, restate-gh-2), suggesting readability, but a hands-on community comment explicitly disputes that it qualifies as open license: 'calling it Open Source is misleading. BSL is not minimal Amazon defense. It effectively prevents any meaningful dynamic functionality to be built on top of it without a commercial subscription' (restate-comm-5). This is a concrete, specific contradiction of an open-license claim rather than mere skepticism. Missing for 10: no first-party confirmation of license terms in the evidence pack, no independent legal/OSI-approval analysis, no rebuttal from Restate addressing the BSL concern.

   • [github] “Restate provides a distributed durable version of your everyday building blocks, letting you build a wide range of use cases”
   • [github] “Restate supports the following SDKs: * [Typescript] * [Java and Kotlin] * [Python] * [Go] * [Rust]”
   • [community] “Looks very interesting, but calling it Open Source is misleading. BSL is not "minimal Amazon defense". It effectively prevents any meaningfu…”

   proof ↗⚑ flag

4. ai-native userSelf-host the core product

   weight 3 · round to Temporal
   Temporal✓fullclaimed9/10

   Temporal explicitly documents self-hosting the open-source core: 'self-host open source infrastructure software that orchestrates your durable applications' with deployment options (Docker, Kubernetes, manual), and the CLI/GitHub repo provide 'temporal server start-dev' for local runs. This is corroborated by the public GitHub repo itself, showing it's a genuine open, self-hostable product, not just SaaS-only. Missing for 10: independent hands-on production self-hosting reports beyond dev-server usage.

   • [claimed-docs] “This guide shows you how to self-host open source infrastructure software that orchestrates your durable applications.”
   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “temporal server start-dev”
   • [github] “Temporal—durable execution platform”
   • [claimed-docs] “The CLI is available for macOS, Linux, and Windows, or as a Docker image.”

   proof ↗⚑ flag

   Restate✓fullcommunity8/10

   Restate is distributed as a single self-contained binary with no external dependencies, explicitly designed to be run yourself (self-hosted) as an alternative to Restate Cloud/BYOC, deployable on your own infra, containers, VMs, or Kubernetes. Community evidence (restate-comm-9) corroborates that the server/orchestration runs independently of any vendor-hosted service. Missing for 10: independent hands-on report of a full production self-hosted deployment, and clarity on licensing terms (BSL concerns raised in community comments) that could affect what 'self-host' fully entails commercially.

   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”
   • [claimed-docs] “You can use Restate Cloud, run a managed Restate region in your cloud account with Restate BYOC, or operate Restate yourself.”
   • [claimed-docs] “Restate is a single self-contained binary. No external dependencies needed.”
   • [community] “the restate server does handle the durable execution journal / orchestration, while the user code runs in a separate process, we don't host …”
   • [community] “Looks very interesting, but calling it Open Source is misleading. BSL is not "minimal Amazon defense". It effectively prevents any meaningfu…”

   proof ↗⚑ flag

Deployment model

1. platform engineerI run workers in my own infrastructure while the vendor manages the orchestration control plane — code and data stay inside my network

   weight 2 · round drawn
   Temporal✓fullclaimed7/10

   Temporal Cloud is explicitly a managed control plane where customers run their own Workers connecting over mTLS, with data encryption designed so Temporal Cloud never accesses sensitive workflow data (temporal-docs-31, temporal-docs-13/44). This matches the exact 'bring your own workers, vendor manages orchestration, data stays in your network' architecture. Missing for 10: no independent/hands-on verification of the network-isolation claim, and no detailed architecture diagram or third-party audit confirming Workers-only-outbound connectivity model.

   • [claimed-docs] “Learn how Temporal Cloud provides provable security by design - orchestrating encrypted workflows without ever accessing your sensitive data…”
   • [claimed-docs] “Explore the security features of our SaaS offering, including mTLS, end-to-end encryption, and enterprise compliance.”
   • [claimed-docs] “Explore the security features of our SaaS offering, including mTLS, end-to-end en”
   • [claimed-docs] “99.9% SLA, 99.99% HA options Multi-Cloud & Multi-Region User Roles Service Accounts & API Keys Audit Logging”
   • [claimed-docs] “SOC 2 Type II GDPR HIPAA CCPA”

   proof ↗⚑ flag

   Restate✓fullcommunity7/10

   Restate explicitly offers a BYOC model where the vendor runs a managed orchestration control plane inside the customer's own cloud account while worker code executes separately, and community confirmation notes 'we don't host the code ourselves ... it is really easy to deploy it wherever you wish' — matching the exact split described in the story. Additional docs reinforce that services can run anywhere (containers, serverless, VMs, k8s) while the server handles the durable execution journal/orchestration. missing for 10: independent/hands-on validation of BYOC specifically (only vendor docs + one community comment), and no detail on data-residency/network isolation guarantees for BYOC deployments.

   • [claimed-docs] “You can use Restate Cloud, run a managed Restate region in your cloud account with Restate BYOC, or operate Restate yourself.”
   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”
   • [community] “the restate server does handle the durable execution journal / orchestration, while the user code runs in a separate process, we don't host …”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”

   proof ↗⚑ flag

Flow control

1. platform engineerI cap concurrency and set rate limits per workflow, per key, or per tenant so one hot customer can't starve the rest

   weight 2 · round to Restate
   Temporal~partialclaimed4/10

   Temporal exposes Worker/Task Queue tuning to control concurrent Activity/Workflow task execution (docs-29, docs-49) and Temporal Cloud enforces its own rate limits (docs-45), which platform engineers could leverage (e.g., separate task queues per tenant) to approximate concurrency capping. However, there is no documented first-class primitive for per-workflow, per-key, or per-tenant rate limiting/quota configuration exposed to application teams. Missing for 10: explicit per-tenant/per-key rate-limiting API or policy, tenant isolation guarantees, and any hands-on evidence of using it to stop a 'hot customer' from starving others.

   • [claimed-docs] “Use the pages in this guide for practical methods for querying Task Queue information, and strategies for tuning Workers and Task Queue proc…”
   • [claimed-docs] “This guide covers metrics and configurations that drive the efficiency of your Worker fleet.”
   • [claimed-docs] “Temporal Cloud enforces three kinds of limits to keep the service reliable: rate limits ... resource limits ... and configuration limits”

   proof ↗⚑ flag

   Restate~partialclaimed6/10

   Restate's flow-control docs explicitly support concurrency limits 'per scope' (service, virtual object/key) to protect downstream services and control cost (restate-docs-4, restate-docs-11, restate-docs-32, restate-docs-67), which covers the per-workflow/per-key concurrency-capping part of the story. However there's no explicit evidence of rate limiting (requests/sec throttling) as distinct from concurrency caps, nor any documented per-tenant scoping/isolation construct. Missing for 10: explicit rate-limit (not just concurrency) primitives, and documented per-tenant multi-tenancy fairness controls.

   • [claimed-docs] “Shape traffic with concurrency limits per scope to control cost, protect downstream services, and keep scheduling fair.”
   • [claimed-docs] “This is especially valuable for AI agents, where each concurrent invocation can translate directly into model or API spend. A concurrency li…”
   • [claimed-docs] “Flow control lets you shape the traffic flowing through Restate instead of letting invocations run unbounded.”
   • [claimed-docs] “Shape and limit concurrent invocations with scope”

   proof ↗⚑ flag

Prioritization

1. platform engineerI assign priorities to runs and get fair scheduling across tenants instead of a single FIFO queue

   weight 1 · round to Restate
   Temporal—none0/10

   Evidence covers Task Queues, worker performance tuning, and retries, but nothing about assigning per-run priorities or fair/weighted scheduling across multiple tenants sharing a queue. missing for 10: priority assignment API, fair-share/weighted scheduling across tenants, multi-tenant isolation guarantees for queue fairness.

   • [claimed-docs] “Use the pages in this guide for practical methods for querying Task Queue information, and strategies for tuning Workers and Task Queue proc…”
   • [claimed-docs] “This guide covers metrics and configurations that drive the efficiency of your Worker fleet.”

   proof ↗⚑ flag

   Restate~partialclaimed3/10

   Restate's flow-control docs mention shaping concurrency 'per scope' to 'control cost, protect downstream services, and keep scheduling fair,' which gestures at fairness but never describes assigning priorities to runs or multi-tenant fair queuing as an explicit scheduler feature. Missing for 10: documented priority levels/weights for invocations, explicit multi-tenant fair-scheduling algorithm (vs. simple concurrency caps), and any independent/hands-on evidence that scheduling is fair across tenants rather than FIFO-per-scope.

   • [claimed-docs] “Shape traffic with concurrency limits per scope to control cost, protect downstream services, and keep scheduling fair.”
   • [claimed-docs] “This is especially valuable for AI agents, where each concurrent invocation can translate directly into model or API spend. A concurrency li…”
   • [claimed-docs] “Flow control lets you shape the traffic flowing through Restate instead of letting invocations run unbounded.”
   • [claimed-docs] “Shape and limit concurrent invocations with scope”

   proof ↗⚑ flag

Scaling

1. platform engineerThroughput scales by adding workers — the platform load-balances tasks across the fleet and tolerates worker loss

   weight 2 · round to Temporal
   Temporal✓fullcommunity7/10

   Temporal's task-queue model lets any number of Workers poll the same queue, and docs explicitly describe tuning Worker fleets for throughput and efficient resource use (temporal-docs-29, temporal-docs-49), plus serverless autoscaling Worker options (temporal-docs-22, temporal-docs-28). Community users confirm the core promise: 'distribute work across machines without worrying about orchestration... retry any unit easily on failure' and 'full scheduling of work and queues that's cross-machine' (temporal-comm-7, temporal-comm-8), which implies load-balancing and worker-loss tolerance via retries/task requeueing. Missing for 10: explicit documentation/benchmarks of task-queue rebalancing when a worker dies mid-task, and independent throughput-scaling benchmarks beyond anecdotal community reports.

   • [claimed-docs] “Use the pages in this guide for practical methods for querying Task Queue information, and strategies for tuning Workers and Task Queue proc…”
   • [claimed-docs] “This guide covers metrics and configurations that drive the efficiency of your Worker fleet.”
   • [claimed-docs] “Serverless Workers for AWS Lambda allows Temporal to control the scaling and lifecycle of Workers running as Lambda functions, enabling dire…”
   • [claimed-docs] “Serverless Workers for Google Cloud Run allows Temporal to control the scaling of Worker Pools in Cloud Run, allowing for direct responses t…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”
   • [community] “Temporal is completely above and beyond Asyncio. It's a full scheduling of work and queues that's cross-machine, cross-language, and very tr…”

   proof ↗⚑ flag

   Restate~partialcommunity5/10

   Restate documents that services can run as many replicas across containers/VMs/k8s (restate-docs-7, restate-docs-34), that the server proxies/routes invocations to services (restate-docs-33, restate-comm-9), and that failures/retries are handled automatically so worker crashes don't lose progress (restate-docs-1, restate-docs-15, restate-docs-30). Concurrency/flow-control primitives (restate-docs-4, restate-docs-32, restate-docs-67) let engineers shape traffic across a scope, implying multi-worker fairness. However, there's no explicit documentation of a load-balancing algorithm distributing tasks across a worker fleet or any benchmark/independent evidence of horizontal throughput scaling as workers are added. Missing for 10: explicit load-balancing mechanism across worker replicas, and independent/hands-on evidence of throughput scaling with added workers.

   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”
   • [claimed-docs] “Only Restate needs to be able to make requests to your services. The Restate Server will proxy all requests for these services.”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster, making it easy to ru…”
   • [claimed-docs] “Code automatically stores completed steps and resumes from where it left off when recovering from failures.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “By default, Restate does infinite retries with an exponential backoff strategy.”
   • [claimed-docs] “Shape traffic with concurrency limits per scope to control cost, protect downstream services, and keep scheduling fair.”
   • [claimed-docs] “Flow control lets you shape the traffic flowing through Restate instead of letting invocations run unbounded.”
   • [community] “the restate server does handle the durable execution journal / orchestration, while the user code runs in a separate process, we don't host …”

   proof ↗⚑ flag

1. ai-native userChoose where my data is stored (region/residency)

   weight 2 · round to Restate
   Temporal~partialclaimed4/10

   Temporal's self-hosted deployment guide (Docker/K8s/manual) lets a customer run the Temporal Service in any region they choose, and Temporal Cloud advertises 'Multi-Cloud & Multi-Region' plus SOC2/GDPR/HIPAA/CCPA compliance, implying some data-locality control, but there is no explicit documentation of a residency/region-selection feature for Temporal Cloud namespaces or data storage. Missing for 10: explicit Cloud region-selection UI/API, data residency guarantees, and independent confirmation that region choice is enforced.

   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “99.9% SLA, 99.99% HA options Multi-Cloud & Multi-Region User Roles Service Accounts & API Keys Audit Logging”
   • [claimed-docs] “SOC 2 Type II GDPR HIPAA CCPA”
   • [claimed-docs] “This guide shows you how to self-host open source infrastructure software that orchestrates your durable applications.”

   proof ↗⚑ flag

   Restate~partialclaimed5/10

   Restate lets users fully control data location by self-hosting anywhere or running BYOC (bring-your-own-cloud) in their own infrastructure/region, and it's a single dependency-free binary that can run in any datacenter (restate-docs-7, restate-docs-13, restate-docs-14, restate-docs-26). However, there is no explicit documentation of a region-selection mechanism or formal data-residency guarantee for the managed Restate Cloud offering itself. Missing for 10: explicit region-picker/residency policy for Restate Cloud, documented compliance/residency guarantees, independent confirmation of BYOC regional isolation.

   • [claimed-docs] “You can use Restate Cloud, run a managed Restate region in your cloud account with Restate BYOC, or operate Restate yourself.”
   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”
   • [claimed-docs] “Restate is a single self-contained binary. No external dependencies needed.”

   proof ↗⚑ flag

2. ai-native userControl data retention and deletion

   weight 2 · round to Temporal
   Temporal~partialclaimed3/10

   Evidence shows Temporal claims GDPR/CCPA/SOC2/HIPAA compliance and 'provable security' without accessing customer data, which implies some data-handling and deletion controls exist, but no docs specify workflow history retention periods, data deletion APIs, or user-controlled purge mechanisms. Missing for 10: explicit namespace/history retention configuration docs, a documented data-deletion or right-to-be-forgotten workflow, and independent confirmation that these controls work as described.

   • [claimed-docs] “SOC 2 Type II GDPR HIPAA CCPA”
   • [claimed-docs] “Learn how Temporal Cloud provides provable security by design - orchestrating encrypted workflows without ever accessing your sensitive data…”

   proof ↗⚑ flag

   Restate—none0/10

   Restate persists state, invocation journals, and execution history (restate-docs-2, restate-docs-10, restate-docs-64-66), and offers self-hosted/BYOC deployment (restate-docs-14, restate-docs-70) which implies some infrastructure-level control, but the evidence pack contains no explicit documentation of data retention policies, TTL/expiration settings, or deletion/purge APIs for stored state or journals.

   ⚑ flag

3. ai-native userOpt out of telemetry and usage tracking

   weight 2 · round drawn
   Temporal—none0/10

   No evidence pack item discusses telemetry, usage tracking, or opt-out settings for Temporal (CLI, SDKs, or Cloud). While self-hosting implies some data control, there's no documented telemetry disclosure or opt-out mechanism, so this cannot be credited as delivered.

   ⚑ flag

   Restate—none0/10

   No evidence pack material addresses telemetry collection or an opt-out mechanism for Restate; since Restate is a self-hostable durable execution server, this privacy-posture question is a fair one to ask but is simply unanswered. Missing for 10: any mention of telemetry collection, data sent to Restate Inc., or an opt-out/disable-telemetry flag or setting.

   ⚑ flag

Exactly once

1. backend developerIdempotency keys and exactly-once step semantics stop duplicate triggers from double-charging or double-sending

   weight 2 · round to Restate
   Temporal~partialcommunity5/10

   Temporal's docs show relevant building blocks — automatic Activity retries (temporal-docs-4/36), deterministic replay that avoids re-executing side-effecting calls (temporal-docs-25: 'model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay'), and crash-proof resume semantics (temporal-docs-1, temporal-docs-41) — which together reduce duplicate-trigger risk. However, the pack never explicitly documents Workflow ID uniqueness/reuse policies or an 'idempotency key' concept for external side effects like payments, and community feedback (temporal-comm-5) notes real-world difficulty handling anomalous workflow states, suggesting exactly-once guarantees for external actions still require developer diligence. Missing for 10: explicit documentation of Workflow ID-based deduplication/idempotency keys, guidance on making Activities idempotent for financial-grade exactly-once side effects, and independent verification that double-charging/double-sending is prevented in practice.

   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [community] “We migrated from an in-house redis queuing system to Temporal. The worst part has been error/anomaly handling: workflows can hit a state tha…”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate's docs explicitly describe idempotency-key deduplication and exactly-once processing for events/invocations (restate-docs-37, restate-docs-47, restate-docs-81), plus guaranteed exactly-once service calls (restate-docs-3) and durable step persistence/retry semantics (restate-docs-15, restate-docs-18, restate-docs-30) that together prevent duplicate side effects like double-charging or double-sending. Missing for 10: independent/hands-on verification specifically of idempotency-key deduplication behavior in production (community evidence is about general product experience, not this feature).

   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts.”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are **processed exactly once**, across failures and restarts.”
   • [claimed-docs] “Call services sync or async with guaranteed execution and exactly-once semantics.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “By default, Restate does infinite retries with an exponential backoff strategy.”

   proof ↗⚑ flag

Long running

1. backend developerA workflow can sleep or wait for days to months without holding a server, connection, or billable compute

   weight 2 · round drawn
   Temporal✓fullclaimed8/10

   Temporal's durable execution model explicitly supports workflows resuming after multi-day waits (e.g., human approval) without holding compute, backed by Activities/retries, timers, and crash-proof resumption docs, plus AI agent examples citing extended-period runs without losing state. missing for 10: independent/hands-on verification of long-duration (months-scale) sleep with zero billable compute claim, and no third-party benchmark confirming server/connection is not held during sleep.

   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “Long-running, stateful agent loops that call LLMs and tools, wait on humans, and pick up exactly where they left off after a failure.”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “By shifting the burden of failure handling from the application to the platform, there is less code for application developers to write, tes…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate's durable timers let handlers sleep, schedule, or wait for events, and docs explicitly state that on FaaS platforms like AWS Lambda the handler is suspended while sleeping to free up resources, and idle agents are suspended to save cost — directly matching the 'no held server/compute' requirement. This is documented across sleep/timer, AI-agent, and FaaS-specific pages, covering days-scale patterns like cron jobs and delayed messages. Missing for 10: independent/hands-on verification of multi-month sleep durations in production and explicit confirmation of zero billable compute during suspension on non-serverless deployments.

   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “If your handler runs on function-as-a-service platforms like AWS Lambda, Restate suspends the handler while it is sleeping, to free up resou…”
   • [claimed-docs] “Restate provides durable, fault-tolerant timers that allow you to: Sleep... Send delayed messages... Set timeouts... Implement patterns like…”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Durable timers, sche”

   proof ↗⚑ flag

Recovery

1. backend developerA workflow interrupted by a process crash, deploy, or infrastructure failure resumes from its last completed step with state intact

   weight 3 · round drawn
   Temporal✓fullcommunity9/10

   Temporal's core value proposition is crash-proof durable execution: docs explicitly state workflows resume exactly where they left off after crashes, network failures, or infrastructure outages, with automatic Activity retries and state preserved via event history/replay. Community evidence corroborates real-world use for long-running, cross-machine reliable orchestration, though one user noted difficulty debugging certain stuck/erroring workflow states. Missing for 10: independent third-party benchmark or incident post-mortem specifically validating recovery after a real deploy/crash scenario beyond vendor docs and general community sentiment.

   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “By shifting the burden of failure handling from the application to the platform, there is less code for application developers to write, tes…”
   • [claimed-docs] “a Workflow resumes automatically after a crash, a network timeout, or a multi-day wait for a human to approve a step”
   • [claimed-docs] “The usual answer is retry logic, a state table, a message queue, a scheduler, and a reconciliation job — code that has nothing to do with th…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”
   • [community] “Temporal is completely above and beyond Asyncio. It's a full scheduling of work and queues that's cross-machine, cross-language, and very tr…”
   • [community] “We migrated from an in-house redis queuing system to Temporal. The worst part has been error/anomaly handling: workflows can hit a state tha…”

   proof ↗⚑ flag

   Restate✓fullcommunity9/10

   Restate's core durable execution model persists completed steps and journal entries so invocations resume exactly from the last completed step after crashes, deploys, or infra failures, with strong first-party documentation across retries, versioning-safe redirects, and state durability (restate-docs-1, restate-docs-15, restate-docs-18, restate-docs-24, restate-docs-30, restate-docs-37). Community feedback corroborates the durable execution model works in practice for real apps (restate-comm-1, restate-comm-9). Missing for 10: independent third-party benchmarking or incident-report evidence specifically confirming resume-after-crash behavior in production at scale beyond vendor docs and anecdotal HN comments.

   • [claimed-docs] “Code automatically stores completed steps and resumes from where it left off when recovering from failures.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “Restate then makes sure that requests start and end on the same version, by sending any retry attempts always to the same endpoint.”
   • [claimed-docs] “By default, Restate does infinite retries with an exponential backoff strategy.”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [community] “The cloud setup was super fast! I used it for an existing app + restate TS sdk, really took a few steps to get things up and running! Lookin…”
   • [community] “the restate server does handle the durable execution journal / orchestration, while the user code runs in a separate process, we don't host …”

   proof ↗⚑ flag

Retries

1. backend developerEvery step retries automatically with configurable backoff, timeouts, and failure policies — no try/catch scaffolding

   weight 3 · round drawn
   Temporal✓fullcommunity8/10

   Temporal Activities have automatic retry policies with configurable backoff, timeouts, and failure/non-retryable error policies built into the platform, explicitly removing app-level retry/try-catch scaffolding, and community users confirm retrying units on failure with non-retryable error specification works in practice. missing for 10: independent hands-on benchmark of backoff/timeout tuning edge cases, and one community report notes error/anomaly handling can be confusing in practice which slightly tempers the polish.

   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “Temporal's default behavior is to automatically ... A Retry Policy is a collection of settings that tells Temporal how and when to try again…”
   • [claimed-docs] “By shifting the burden of failure handling from the application to the platform, there is less code for application developers to write, tes…”
   • [claimed-docs] “The usual answer is retry logic, a state table, a message queue, a scheduler, and a reconciliation job — code that has nothing to do with th…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”
   • [community] “We migrated from an in-house redis queuing system to Temporal. The worst part has been error/anomaly handling: workflows can hit a state tha…”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate's ctx.run wraps arbitrary steps with automatic retries, configurable backoff/retry policies, and terminal errors to bypass retries, plus durable timers/timeouts, all without manual try/catch scaffolding (restate-docs-18, restate-docs-19, restate-docs-22, restate-docs-5, restate-docs-15). missing for 10: independent hands-on validation of the retry/backoff configuration specifically (community evidence is general product sentiment, not focused on retry policy behavior), and no explicit example of a configured failure-policy edge case in the evidence pack.

   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “You can customize how `ctx.run` retries via:”
   • [claimed-docs] “For failures for which you do not want retries, but instead want the invocation to end and the error message to be propagated back to the ca…”
   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “Automatically retry transient errors like rate limits and network failures. Persist steps (LLM calls, tools) and recover previous progress a…”
   • [claimed-docs] “Code automatically stores completed steps and resumes from where it left off when recovering from failures.”

   proof ↗⚑ flag

Events

1. backend developerEvents from my app, webhooks, or queues trigger workflows declaratively, and one event can fan out to many functions

   weight 2 · round drawn
   Temporal~partialclaimed6/10

   Temporal's Client API lets application code start or signal Workflow Executions in response to app events (temporal-docs-50, temporal-docs-6/38), and Activities/child workflows let a single Workflow fan out to many functions (temporal-docs-3, temporal-docs-35); Schedules cover time-based triggers (temporal-docs-5, temporal-docs-23). However this is done via imperative SDK calls in your own event/webhook/queue handler, not a native declarative trigger binding, and no first-party webhook/queue-connector or explicit fan-out pattern documentation is present. Missing for 10: documented native webhook/queue ingestion connectors, a declarative event-trigger config (vs code-driven client calls), and explicit fan-out-to-many-activities examples/docs.

   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”
   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”
   • [claimed-docs] “An Activity is a normal function or method that executes a single, well-defined action (either short or long running), such as calling anoth…”
   • [claimed-docs] “An Activity is a normal function or method ... that executes a single, well-defined action (either short or long running), such as calling a…”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”

   proof ↗⚑ flag

   Restate~partialclaimed6/10

   Restate supports webhook-triggered handlers (any handler can be a durable webhook endpoint, exactly-once processing) and Kafka topic invocation as a trigger mechanism, plus explicit fan-out patterns ('Fan out work to multiple agents, then combine the results') and parallel tool-call execution. However, triggering is code-based (write a handler, wire up webhook/Kafka), not a declarative trigger-definition config, and there's no explicit mention of generic app-event buses beyond webhooks/Kafka fanning out to many arbitrary functions declaratively. Missing for 10: a declarative trigger/rule definition mechanism (e.g. YAML/config-based event routing), explicit multi-function fan-out from a single generic app event (not just AI-agent patterns), and independent/community validation of this specific flow.

   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Any handler can be a durable webhook endpoint. No need to do anything special or extra!”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts.”
   • [claimed-docs] “There are three ways to invoke a handler: over HTTP, using typed clients, or through Kafka topics.”
   • [claimed-docs] “Fan out work to multiple agents, then combine the results. Failed agents are retried independently while successful results are preserved.”
   • [claimed-docs] “Restate eliminates this complexity by providing **lightweight, transactional event processing** with zero consumer management and built-in s…”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”

   proof ↗⚑ flag

Flow shaping

1. backend developerI debounce, batch, or delay triggers so noisy event streams collapse into the runs I actually want

   weight 1 · round to Temporal
   Temporal~partialclaimed5/10

   Temporal provides the primitives a backend developer would use to build debounce/batch/delay logic — Signals for event ingestion, Workflow-as-stateful-service message handlers, and Schedules/timers for delayed execution — but there is no documented first-class 'debounce' or 'batch trigger' feature; developers must hand-roll the coalescing logic inside Workflow code. missing for 10: an explicit debounce/coalescing primitive or documented pattern for collapsing noisy signal streams, and independent evidence of teams successfully using it for this exact use case.

   • [claimed-docs] “Temporal supports three types of messages: Signals, Queries, and Updates”
   • [claimed-docs] “Workflows can be thought of as stateful web services that can receive messages. The Workflow can have message handlers, akin to endpoints”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times. Schedules provide a more flexible and user-friendly ap…”
   • [claimed-docs] “Start a Workflow Execution - Get the result of Workflow Execution - List Workflow Executions - Query a Workflow Execution - Signal a Workflo…”

   proof ↗⚑ flag

   Restate~partialclaimed4/10

   Restate offers building blocks that could be used to approximate debounce/batch/delay behavior—durable timers for delayed messages and cron-like scheduling (restate-docs-29), idempotency-key deduplication of duplicate events (restate-docs-37, restate-docs-81), and concurrency-limiting flow control to shape bursty traffic (restate-docs-4, restate-docs-32, restate-docs-67)—but there is no documented first-class debounce or batching primitive that collapses a noisy stream of triggers into a single consolidated run. missing for 10: explicit debounce/coalescing API, windowed batching of events, and any hands-on example showing noisy triggers collapsed into one run.

   • [claimed-docs] “Restate provides durable, fault-tolerant timers that allow you to: Sleep... Send delayed messages... Set timeouts... Implement patterns like…”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are processed exactly once, across failures and restarts... Let Restate deduplic…”
   • [claimed-docs] “Restate persists all incoming events, and ensures that they are **processed exactly once**, across failures and restarts.”
   • [claimed-docs] “Shape traffic with concurrency limits per scope to control cost, protect downstream services, and keep scheduling fair.”
   • [claimed-docs] “Flow control lets you shape the traffic flowing through Restate instead of letting invocations run unbounded.”
   • [claimed-docs] “Shape and limit concurrent invocations with scope”

   proof ↗⚑ flag

Schedules

1. backend developerI schedule workflows on cron expressions with overlap policies, pause/resume, and visibility into upcoming runs

   weight 2 · round to Temporal
   Temporal~partialclaimed5/10

   Temporal's Schedule feature (docs-5, docs-23, docs-37) explicitly supports cron-based workflow starts and is positioned as more flexible than plain Cron Jobs (docs-34 lists both Schedules and Cron Job as workflow-start mechanisms), and the Web UI (docs-8/40) and CLI (docs-42) give execution-state visibility/debugging. However, the evidence pack never explicitly documents overlap policies, pause/resume controls, or a view of upcoming scheduled runs — these specific sub-capabilities are asserted by the story but not directly cited in the pack. Missing for 10: explicit documentation of overlap policy configuration, pause/resume schedule actions, and next-run/upcoming-run listing UI or CLI output.

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [claimed-docs] “Workflow Definition ... Workflow Execution ... Schedules ... Dynamic Handler ... Cron Job”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times. Schedules provide a more flexible and user-friendly ap…”
   • [claimed-docs] “The Temporal Web UI provides users with Workflow Execution state and metadata for debugging purposes.”
   • [claimed-docs] “The Temporal CLI (`temporal`) provides direct access to a Temporal Service via the terminal. Use it to manage, monitor, and debug Temporal a…”

   proof ↗⚑ flag

   Restate—none0/10

   Restate offers durable timers/sleep and states you can 'implement patterns like cron jobs' (restate-docs-29), plus general invocation introspection, but there is no evidence of native cron-expression scheduling, overlap policies, pause/resume controls, or a view of upcoming scheduled runs — these are DIY patterns built on timers, not a documented scheduler feature.

   • [claimed-docs] “Restate provides durable, fault-tolerant timers that allow you to: Sleep... Send delayed messages... Set timeouts... Implement patterns like…”
   • [claimed-docs] “Sleep, schedule, and wait for external events with durable timers.”
   • [claimed-docs] “Restate exposes information on invocations and application state via its CLI and Introspection SQL API.”
   • [claimed-docs] “Invocations list: See all running, suspended, and completed agent invocations”

   proof ↗⚑ flag

Versioning

1. platform engineerI deploy new workflow code while in-flight runs finish on the version they started with — versioning without breaking determinism

   weight 3 · round drawn
   Temporal✓fullcommunity8/10

   Temporal's Worker Versioning feature explicitly supports declaring Pinned vs Auto-Upgrade Versioning Behavior per Workflow type, with Worker Deployments and Worker Deployment Versions concepts letting in-flight workflows continue on their starting version while new workflows use new code — directly addressing safe deployment without breaking determinism. Docs detail the underlying mechanics (deployment versions, versioning behaviors) precisely for this use case. Missing for 10: independent/hands-on community validation of the versioning feature specifically (community evidence in the pack discusses determinism generally but not this exact versioning workflow), and no evidence of edge-case failure handling during version transitions.

   • [claimed-docs] “You can declare each Workflow type to have a Versioning Behavior, either Pinned or Auto-Upgrade, in your Workflow config”
   • [claimed-docs] “This page defines some of the underlying concepts used in Worker Versioning ... Worker Deployments ... Worker Deployment Versions ... Versio…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate documents immutable deployments and versioning explicitly: in-flight invocations continue running on the code version they started with, and retries are always routed to the same endpoint version, directly addressing safe versioning without breaking determinism (restate-docs-24, restate-docs-41). This is corroborated by broader durable execution guarantees (journal replay, exactly-once) that make this safe. missing for 10: independent/hands-on verification of version-pinning behavior in production, and detail on how new versions are rolled out/deprecated operationally.

   • [claimed-docs] “Restate then makes sure that requests start and end on the same version, by sending any retry attempts always to the same endpoint.”
   • [claimed-docs] “Restate helps via the concept of immutable deployments. When you deploy a version of your code, you giv”
   • [claimed-docs] “Restate is distributed as a single binary that implements all features required to run a single- or multi-node cluster”
   • [claimed-docs] “Deploy anywhere: Services run in your infrastructure as containers, serverless functions, VMs, or Kubernetes pods”

   proof ↗⚑ flag

Authoring

1. backend developerI write workflows as ordinary code in my language — steps with automatic checkpointing — not YAML or a proprietary DSL

   weight 3 · round to Temporal
   Temporal✓fullcommunity9/10

   Temporal's core model is Workflows and Activities written as ordinary functions/methods in supported languages (TypeScript, Python, etc.), with automatic checkpointing/durable execution and crash recovery built into the runtime, corroborated by community users describing it as modeling business logic as ordinary code with side effects in Activities. This directly matches the story of code-based workflow authoring versus YAML/DSL. Missing for 10: no independent benchmark or critique specifically addressing 'no DSL' claim beyond community anecdotes, and some community feedback notes friction with error/anomaly handling in practice.

   • [claimed-docs] “An Activity is a normal function or method that executes a single, well-defined action (either short or long running), such as calling anoth…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal application”
   • [community] “I haven't yet used Temporal, but spent a lot of time evaluating it and its predecessor Cadence. It models long-running business logic as ord…”
   • [community] “No, the whole point of Temporal is to distribute work across machines without worrying too much about orchestration. You can retry any unit …”

   proof ↗⚑ flag

   Restate✓fullclaimed8/10

   Restate lets developers write handlers as ordinary code (TypeScript, Java/Kotlin, Python, Go, Rust) using constructs like ctx.run for automatic checkpointing of steps, with no YAML/DSL involved — confirmed by docs on durable steps, durable execution, and SDK support. missing for 10: independent hands-on developer testimony specifically praising 'no DSL/code-first' authoring (community evidence focuses on other aspects like cloud setup and architecture), and no direct comparison showing absence of any config-based workflow definition.

   • [claimed-docs] “Code automatically stores completed steps and resumes from where it left off when recovering from failures.”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “You can customize how `ctx.run` retries via:”
   • [github] “Restate supports the following SDKs: * [Typescript] * [Java and Kotlin] * [Python] * [Go] * [Rust]”
   • [claimed-docs] “Restate provides **durable execution primitives** that make distributed systems resilient by default, without the operational overhead.”

   proof ↗⚑ flag

Composition

1. backend developerI compose workflows from parallel steps, fan-out/fan-in over dynamic batches, and child workflows without hand-rolling coordination

   weight 2 · round to Temporal
   Temporal~partialclaimed6/10

   Temporal's docs establish the core primitives (Workflows as ordinary code, Activities, automatic retries, worker/task-queue tuning) that back parallel/fan-out patterns, and a CLI batch-job feature (temporal-docs-26) plus 'why Temporal' messaging about eliminating hand-rolled coordination (temporal-docs-18, temporal-docs-46) support the theme. Missing for 10: explicit documentation or examples of child workflow APIs, parallel/fan-out-fan-in composition patterns, and dynamic batch workflow orchestration are not directly cited in this evidence pack, so the story is only partially substantiated.

   • [claimed-docs] “An Activity is a normal function or method that executes a single, well-defined action (either short or long running), such as calling anoth…”
   • [claimed-docs] “Temporal's default behavior is to automatically retry an Activity that fails, so transient or intermittent failures require no action on you…”
   • [claimed-docs] “By shifting the burden of failure handling from the application to the platform, there is less code for application developers to write, tes…”
   • [claimed-docs] “Show the progress of an ongoing batch job. Pass a valid job ID to display its information”
   • [claimed-docs] “Use the pages in this guide for practical methods for querying Task Queue information, and strategies for tuning Workers and Task Queue proc…”
   • [claimed-docs] “The usual answer is retry logic, a state table, a message queue, a scheduler, and a reconciliation job — code that has nothing to do with th…”

   proof ↗⚑ flag

   Restate~partialclaimed3/10

   Restate's docs describe durable async/sync service invocation, coordination primitives, and event-based signaling that could underlie fan-out patterns, but none of the evidence explicitly documents parallel-step composition, fan-out/fan-in over dynamic batches, or child-workflow invocation as first-class constructs. missing for 10: explicit fan-out/fan-in APIs, dynamic batch parallelism, child/sub-workflow spawning and joining semantics, and any example or docs page dedicated to this composition pattern.

   • [claimed-docs] “Call services sync or async with guaranteed execution and exactly-once semantics.”
   • [claimed-docs] “Restate provides three durable coordination primitives for this: ... Communication between ongoing invocations, agent steering, and human ap…”
   • [claimed-docs] “Coordinate long-running processes, human approvals, listen to webhooks and other signals.”
   • [github] “Restate provides a distributed durable version of your everyday building blocks, letting you build a wide range of use cases”

   proof ↗⚑ flag

Language coverage

1. backend developerI author workflows in the language my team already uses — TypeScript, Python, Go, or more — with real feature parity across SDKs

   weight 2 · round to Restate
   Temporal~partialcommunity5/10

   Docs confirm dedicated TypeScript (temporal-docs-14) and Python (temporal-docs-25,47,48) developer guides with core Workflow/Activity primitives, and a community comment references additional SDKs like Ruby/PHP existing (though it mistakenly claims no JS, contradicted by the TypeScript docs). However, there's no explicit evidence of a Go SDK guide or any statement that SDKs maintain true feature parity across languages. Missing for 10: Go SDK documentation, an explicit cross-SDK feature-parity statement, and independent verification that all SDKs support identical capabilities.

   • [claimed-docs] “a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal application”
   • [claimed-docs] “model calls are executed as Activities, so they retry durably and are not repeated during Workflow replay. Your agents survive Worker restar…”
   • [claimed-docs] “Temporal's integration with the OpenAI Agents SDK for Python lets you run agents as Temporal Workflows.”
   • [claimed-docs] “Call an LLM from a durable Temporal Workflow in Python using the OpenAI API library.”
   • [community] “Surprised to see Ruby and PHP SDKs, but no JS [for Temporal].”

   proof ↗⚑ flag

   Restate~partialcommunity6/10

   Restate officially lists five supported SDKs (TypeScript, Java/Kotlin, Python, Go, Rust) covering the mainstream backend languages, and shows some cross-language evidence (Go/Rust client docs, Rust SDK typed ingress clients) alongside deep TypeScript-specific guides for durable steps, timers, error handling, and testing. However, most detailed capability documentation (ctx.run, error handling, testing, AI-assistant integration) is TypeScript-centric, with only shallow mentions for Go/Rust and none for Python/Java, and a community comment notes Go SDK was a later addition, suggesting the SDKs haven't always had lockstep parity. Missing for 10: explicit feature-parity statement across SDKs, equally deep Python/Java/Go documentation, and independent verification that all SDKs support the same primitives (workflows, virtual objects, timers) equivalently.

   • [github] “Restate supports the following SDKs: * [Typescript] * [Java and Kotlin] * [Python] * [Go] * [Rust]”
   • [claimed-docs] “The Go SDK client library lets you invoke Restate handlers from anywhere in your application.”
   • [claimed-docs] “The SDK now generates a typed `<Type>IngressClient` for every impl-block service, virtual object, and workflow.”
   • [claimed-docs] “The SDK now generates a typed <Type>IngressClient for every impl-block service, virtual object, and workflow.”
   • [claimed-docs] “Use `ctx.run` to safely wrap any non-deterministic operation, like HTTP calls or database responses, and have Restate store its result in th…”
   • [claimed-docs] “This uses [Testcontainers](https://testcontainers.com/) to run a Restate Server in a Docker container and let you test your Restate handlers…”
   • [community] “Being fairly familiar with Temporal, I definitely appreciate your cleaner architectural choices. Add a Go SDK and I'll definitely give this …”

   proof ↗⚑ flag