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How DBOS’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score41/100

Agent-ready 49.7 × 0.30 = 14.91

API quality 8.6 × 0.20 = 1.72

Openness 58.0 × 0.20 = 11.60

Built-in AI 34.7 × 0.15 = 5.21

Automation 47.3 × 0.15 = 7.09

(14.91 + 1.72 + 11.60 + 5.21 + 7.09) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 40.53 ÷ 1.00 = 40.5

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready49.7/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.dbos.dev/llms.txtPROBE llms.txt: HTTP 200 at https://docs.dbos.dev/llms.txt # DBOS Documentation This file contains links to documentation sections following the llmstxt.org standard. ## Table o
  • [claimed-docs] https://docs.dbos.dev/ai/ai-quickstartResilience to failure: Automatically recover your agents from server restarts, process crashes, network hiccups or outages, and other unexpected events.
  • [claimed-docs] https://docs.dbos.dev/ai/hitla human might take hours or days to respond to an agent, so the agent must be able to reliably wait for a long time (during which the server might be restarted, software might be upgraded, etc.).
  • [claimed-docs] https://docs.dbos.dev/ai/debuggingyou can use the workflow fork operation to reproduce it. Fork restarts a workflow from a completed step, using checkpointed information to deterministically reproduce the state of the workflow up to that step.

Run the product headlessly / in CI for automationweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/testingBecause DBOS workflows, steps, and transactions are ordinary Python functions, you can unit test them using any Python testing framework, like pytest or unittest.
  • [claimed-docs] https://docs.dbos.dev/quickstartpip install dbos 'fastapi[standard]'dbos init --template dbos-app-starter
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor
  • [claimed-docs] https://docs.dbos.dev/python/reference/client.mdDBOSClient provides a programmatic way to interact with your DBOS application from external code or from another DBOS application.
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.
  • [github] https://github.com/dbos-inc/dbos-transact-pyInstead of managing your own workflow orchestrator or task queue system, you can use DBOS to add durable workflows and queues to your program in just a few lines of code.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.dbos.dev/integrations/mcpYou can use the DBOS Model Context Protocol (MCP) server to augment your LLM or agent with tools that can analyze and manage your DBOS workflows.
  • [probe] https://docs.dbos.dev/integrations/mcpofficial MCP server documented at https://docs.dbos.dev/integrations/mcp

Connect an agent via an official MCP serverweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.dbos.dev/integrations/mcpYou can use the DBOS Model Context Protocol (MCP) server to augment your LLM or agent with tools that can analyze and manage your DBOS workflows.
  • [probe] https://docs.dbos.dev/integrations/mcpofficial MCP server documented at https://docs.dbos.dev/integrations/mcp

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl login # log in through the device-authorization flow dbosctl whoami # confirm who you are logged in as dbosctl app list
  • [claimed-docs] https://docs.dbos.dev/quickstartpip install dbos 'fastapi[standard]'dbos init --template dbos-app-starter
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor
  • [claimed-docs] https://docs.dbos.dev/python/reference/cli.mdList workflows run by your application in JSON format ordered by recency (most recently started workflows last).
  • [probe] https://docs.dbos.dev/production/dbosctlofficial CLI documented at https://docs.dbos.dev/production/dbosctl

Drive the product through a documented public APIweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl login # log in through the device-authorization flow dbosctl whoami # confirm who you are logged in as dbosctl app list
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiregister applications with Conductor and tune their settings, search workflows, cancel or fork them, inspect queues and schedules, drive schedules, read metrics and audit logs, and manage members, roles, and API keys.
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor
  • [claimed-docs] https://docs.dbos.dev/python/reference/client.mdDBOSClient provides a programmatic way to interact with your DBOS application from external code or from another DBOS application.
  • [probe] https://docs.dbos.dev/integrations/mcpofficial MCP server documented at https://docs.dbos.dev/integrations/mcp
  • [probe] https://docs.dbos.dev/production/dbosctlofficial CLI documented at https://docs.dbos.dev/production/dbosctl
  • [probe] https://docs.dbos.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.dbos.dev/openapi.json, https://docs.dbos.dev/swagger.json, https://docs.dbos.dev/api/openapi.json, https://docs.dbos.dev/.well-known/openapi.json)

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiregister applications with Conductor and tune their settings, search workflows, cancel or fork them, inspect queues and schedules, drive schedules, read metrics and audit logs, and manage members, roles, and API keys.
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/integrations/openai-agentsUse DBOSRunner.run and DBOSRunner.run_sync as drop-in replacements for Runner.run and Runner.run_sync.
  • [claimed-docs] https://docs.dbos.dev/integrations/openai-agentsYou can use DBOS to add durable execution to an agent built with the OpenAI Agents SDK... you can build reliable agents that preserve progress across transient API failures, application errors, and restarts
  • [claimed-docs] https://docs.dbos.dev/integrations/mcpYou can use the DBOS Model Context Protocol (MCP) server to augment your LLM or agent with tools that can analyze and manage your DBOS workflows.
  • [claimed-docs] https://docs.dbos.dev/integrations/vercel-ai.mdIf your process crashes mid-agent, DBOS replays the completed steps from their checkpoints and the agent resumes exactly where it left off.
  • [claimed-docs] https://docs.dbos.dev/python/reference/client.mdDBOSClient provides a programmatic way to interact with your DBOS application from external code or from another DBOS application.
  • [community] https://hn.algolia.com/api/v1/items/42379974Praise: 'I built a small side thing using DBOS (using python SDK) and the ergonomics were pretty nice.'
  • [community] https://hn.algolia.com/api/v1/items/42379974Complaint: 'Bit disappointed, looked for .net core support but no. Languages that are supported: Typescript and Python.'

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 104.4 ÷ 210 × 100 = 49.7

API quality8.6/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.dbos.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.dbos.dev/openapi.json, https://docs.dbos.dev/swagger.json, https://docs.dbos.dev/api/openapi.json, https://docs.dbos.dev/.well-known/openapi.json)
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.
  • [probe] https://docs.dbos.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.dbos.dev/openapi.json, https://docs.dbos.dev/swagger.json, https://docs.dbos.dev/api/openapi.json, https://docs.dbos.dev/.well-known/openapi.json)

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/testingBecause DBOS workflows, steps, and transactions are ordinary Python functions, you can unit test them using any Python testing framework, like pytest or unittest.
  • [claimed-docs] https://docs.dbos.dev/production/hosting-conductorThere are many ways to self-host Conductor and the DBOS Console on your own infrastructure... you can self-host Conductor and the DBOS Console on your development machine using Docker Compose.

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

API quality = 6.0 ÷ 70 × 100 = 8.6

Openness58.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/production/conductorFrom the Conductor dashboard, you can pause any workflow execution, start any stopped or enqueued workflow, or restart any workflow from a specific step. This is useful for rapidly responding to incidents or debugging.
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiregister applications with Conductor and tune their settings, search workflows, cancel or fork them, inspect queues and schedules, drive schedules, read metrics and audit logs, and manage members, roles, and API keys.
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor
  • [claimed-docs] https://docs.dbos.dev/python/reference/cli.mdList workflows run by your application in JSON format ordered by recency (most recently started workflows last).
  • [claimed-docs] https://docs.dbos.dev/python/reference/client.mdDBOSClient provides a programmatic way to interact with your DBOS application from external code or from another DBOS application.
  • [probe] https://docs.dbos.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.dbos.dev/openapi.json, https://docs.dbos.dev/swagger.json, https://docs.dbos.dev/api/openapi.json, https://docs.dbos.dev/.well-known/openapi.json)

Export all of my data in open formats and leaveweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.dbos.dev/architectureThe open-source DBOS library uses Postgres to orchestrate durable workflows and queues. There's no separate orchestration server and no infrastructure required besides Postgres.
  • [claimed-docs] https://docs.dbos.dev/explanations/comparing-temporalBy contrast, DBOS is an open-source Postgres-backed library. To add DBOS to an application, you install the open-source library and annotate workflows and steps.
  • [claimed-docs] https://docs.dbos.dev/architectureDBOS checkpoints those workflows and steps to a Postgres database. When failures occur, whether from crashes, interruptions, or restarts, DBOS uses those checkpoints to recover each of your workflows from the last completed step.
  • [claimed-docs] https://docs.dbos.dev/python/reference/cli.mdList workflows run by your application in JSON format ordered by recency (most recently started workflows last).
  • [claimed-docs] https://docs.dbos.dev/production/hosting-conductorThere are many ways to self-host Conductor and the DBOS Console on your own infrastructure.
  • [claimed-docs] https://docs.dbos.dev/production/hosting-conductorThere are many ways to self-host Conductor and the DBOS Console on your own infrastructure... you can self-host Conductor and the DBOS Console on your development machine using Docker Compose.
  • [community] https://hn.algolia.com/api/v1/items/45920156User complaint: 'I was super interested in DBOS but I had to back out when I figured that the observability isn't self hostable yet,' though pleased to hear a self-hostable version was coming.
  • [community] https://hn.algolia.com/api/v1/items/41502094DBOS co-founder explaining durability: 'DBOS wraps each function (step) to log its output in the database. This ensures that workflows can be safely re-executed if they're interrupted, guaranteeing durability.'

Read the product's source under an open licenseweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.dbos.dev/architectureThe open-source DBOS library uses Postgres to orchestrate durable workflows and queues. There's no separate orchestration server and no infrastructure required besides Postgres.
  • [claimed-docs] https://docs.dbos.dev/explanations/comparing-temporalBy contrast, DBOS is an open-source Postgres-backed library. To add DBOS to an application, you install the open-source library and annotate workflows and steps.
  • [claimed-docs] https://docs.dbos.dev/explanations/comparing-temporalThe main difference is that Temporal implements durable workflows in a heavyweight orchestration service, whereas DBOS implements them in a Postgres-backed library. In our opinion, the DBOS architecture is simpler to adopt and operate.
  • [github] https://github.com/dbos-inc/dbos-transact-pyInstead of managing your own workflow orchestrator or task queue system, you can use DBOS to add durable workflows and queues to your program in just a few lines of code.
  • [community] https://hn.algolia.com/api/v1/items/45920156Comparison: 'I like dbos architecture much more than temporal since it is much easier to operate on small team. But dbos doesn't have opensource release of web ui, which is most critical part for a workflow management tool.'

Self-host the core productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.dbos.dev/architectureThe open-source DBOS library uses Postgres to orchestrate durable workflows and queues. There's no separate orchestration server and no infrastructure required besides Postgres.
  • [claimed-docs] https://docs.dbos.dev/explanations/comparing-temporalBy contrast, DBOS is an open-source Postgres-backed library. To add DBOS to an application, you install the open-source library and annotate workflows and steps.
  • [claimed-docs] https://docs.dbos.dev/explanations/comparing-temporalThe main difference is that Temporal implements durable workflows in a heavyweight orchestration service, whereas DBOS implements them in a Postgres-backed library. In our opinion, the DBOS architecture is simpler to adopt and operate.
  • [github] https://github.com/dbos-inc/dbos-transact-pyInstead of managing your own workflow orchestrator or task queue system, you can use DBOS to add durable workflows and queues to your program in just a few lines of code.
  • [claimed-docs] https://docs.dbos.dev/production/hosting-conductorThere are many ways to self-host Conductor and the DBOS Console on your own infrastructure.
  • [claimed-docs] https://docs.dbos.dev/production/hosting-conductorThere are many ways to self-host Conductor and the DBOS Console on your own infrastructure... you can self-host Conductor and the DBOS Console on your development machine using Docker Compose.
  • [community] https://hn.algolia.com/api/v1/items/45920156User complaint: 'I was super interested in DBOS but I had to back out when I figured that the observability isn't self hostable yet,' though pleased to hear a self-hostable version was coming.
  • [community] https://hn.algolia.com/api/v1/items/45920156Comparison: 'I like dbos architecture much more than temporal since it is much easier to operate on small team. But dbos doesn't have opensource release of web ui, which is most critical part for a workflow management tool.'

Openness = 58.0 ÷ 100 × 100 = 58.0

Built-in AI34.7/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/integrations/mcpYou can use the DBOS Model Context Protocol (MCP) server to augment your LLM or agent with tools that can analyze and manage your DBOS workflows.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/scheduled-workflowsYou can schedule DBOS workflows to run on a cron schedule. Schedules are stored in the database and can be created, paused, resumed, and deleted at runtime.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/workflow-tutorialYou can use DBOS.start_workflow to start a workflow in the background. If you start a workflow this way, it returns a workflow handle, from which you can access information about the workflow or wait for it to complete and retrieve its result.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide flow control, letting you manage how many workflows run at once or how often workflows are started.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/workflow-tutorialIf a workflow is interrupted for any reason, DBOS automatically recovers its execution from the last completed step.
  • [claimed-docs] https://docs.dbos.dev/python/programming-guideDBOS checkpoints the state of your workflows and steps to its system database. If your program crashes or is interrupted, DBOS uses this checkpointed state to recover each of your workflows from its last completed step.
  • [claimed-docs] https://docs.dbos.dev/ai/hitla human might take hours or days to respond to an agent, so the agent must be able to reliably wait for a long time (during which the server might be restarted, software might be upgraded, etc.).
  • [claimed-docs] https://docs.dbos.dev/ai/hitlyou can add a line of code to your agent that tells it to wait hours or days for a notification: approval: Optional[HumanResponseRequest] = DBOS.recv(timeout_seconds=TIMEOUT)
  • [community] https://hn.algolia.com/api/v1/items/41502094DBOS co-founder explaining durability: 'DBOS wraps each function (step) to log its output in the database. This ensures that workflows can be safely re-executed if they're interrupted, guaranteeing durability.'
  • [community] https://hn.algolia.com/api/v1/items/41502094Comparison to Temporal: DBOS core team noted 'the biggest difference is that DBOS doesn't require a centralized workflow server, but does all orchestration directly in your functions... Performance: a state transition in DBOS requires only a database write (~1 ms) whereas Temporal requires tens of ms.'

Delegate tasks to a built-in AI assistant inside the productweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://docs.dbos.dev/integrations/mcpYou can use the DBOS Model Context Protocol (MCP) server to augment your LLM or agent with tools that can analyze and manage your DBOS workflows.
  • [probe] https://docs.dbos.dev/integrations/mcpofficial MCP server documented at https://docs.dbos.dev/integrations/mcp
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl login # log in through the device-authorization flow dbosctl whoami # confirm who you are logged in as dbosctl app list
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor

Built-in AI = 20.8 ÷ 60 × 100 = 34.7

Automation47.3/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide flow control, letting you manage how many workflows run at once or how often workflows are started.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide _flow control_, letting you manage how many workflows run at once or how often workflows are started.
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiConductor's workflow, queue, and schedule management is available over an OpenAPI-described HTTP API and from the dbosctl command-line client, so you can script incident response and wire Conductor into your own tooling.
  • [claimed-docs] https://docs.dbos.dev/production/conductor-apiregister applications with Conductor and tune their settings, search workflows, cancel or fork them, inspect queues and schedules, drive schedules, read metrics and audit logs, and manage members, roles, and API keys.
  • [claimed-docs] https://docs.dbos.dev/production/dbosctldbosctl is a command-line client for the Conductor API. It manages workflows, queues, schedules, applications, and API keys against DBOS-managed Conductor or a self-hosted Conductor
  • [claimed-docs] https://docs.dbos.dev/python/reference/cli.mdList workflows run by your application in JSON format ordered by recency (most recently started workflows last).
  • [community] https://hn.algolia.com/api/v1/items/45920156Happy user: 'We are a happy user of DBOS. I've been building out a lightweight TUI for managing our DBOS application internally, since we have workflows with tens of thousands of steps.'

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/scheduled-workflowsYou can schedule DBOS workflows to run on a cron schedule. Schedules are stored in the database and can be created, paused, resumed, and deleted at runtime.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/workflow-communicationYou can send messages to a specific workflow. This is useful for signaling a workflow or sending notifications to it while it's running.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/workflow-communicationYou can call `DBOS.send()` to send a message to a workflow. Messages can optionally be associated with a topic and are queued on the receiver per topic.
  • [claimed-docs] https://docs.dbos.dev/ai/hitlyou can add a line of code to your agent that tells it to wait hours or days for a notification: approval: Optional[HumanResponseRequest] = DBOS.recv(timeout_seconds=TIMEOUT)
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide flow control, letting you manage how many workflows run at once or how often workflows are started.

Schedule recurring jobs or workflowsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/scheduled-workflowsYou can schedule DBOS workflows to run on a cron schedule. Schedules are stored in the database and can be created, paused, resumed, and deleted at runtime.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide flow control, letting you manage how many workflows run at once or how often workflows are started.
  • [claimed-docs] https://docs.dbos.dev/python/tutorials/queue-tutorialYou can use queues to run many workflows at once with managed concurrency. Queues provide _flow control_, letting you manage how many workflows run at once or how often workflows are started.

Version, review, and roll back my automationsweight 1

1 (weight) × 6 (quality) × 0.6 (partial) = 3.6 of 10 max

  • [claimed-docs] https://docs.dbos.dev/python/tutorials/upgrading-workflowsDBOS supports two strategies for safely upgrading workflow code: patching and versioning.
  • [claimed-docs] https://www.dbos.dev/pricingManage with Conductor: Monitor, version, fork, replay, and observe durable workflows with DBOS Conductor console.
  • [claimed-docs] https://docs.dbos.dev/ai/debuggingyou can use the workflow fork operation to reproduce it. Fork restarts a workflow from a completed step, using checkpointed information to deterministically reproduce the state of the workflow up to that step.
  • [claimed-docs] https://docs.dbos.dev/production/conductorFrom the Conductor dashboard, you can pause any workflow execution, start any stopped or enqueued workflow, or restart any workflow from a specific step. This is useful for rapidly responding to incidents or debugging.
  • [claimed-docs] https://docs.dbos.dev/ai/debuggingBecause workflows checkpoint the outcome of each step of your workflow, you can review these checkpoints to see the cause of the failure and audit every step that led to it.
  • [community] https://hn.algolia.com/api/v1/items/45920156Comparison: 'I like dbos architecture much more than temporal since it is much easier to operate on small team. But dbos doesn't have opensource release of web ui, which is most critical part for a workflow management tool.'
  • [community] https://hn.algolia.com/api/v1/items/45920156User complaint: 'I was super interested in DBOS but I had to back out when I figured that the observability isn't self hostable yet,' though pleased to hear a self-hostable version was coming.

Automation = 37.8 ÷ 80 × 100 = 47.3