[
  {
    "id": "langgraph-docs-1",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/overview",
    "excerpt": "LangGraph gives you fine-grained control to mix deterministic, hand-coded steps with LLM-driven agentic steps in the same graph",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-2",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/persistence.md",
    "excerpt": "Checkpointers persist a thread's graph state as checkpoints. Use them for short-term, thread-scoped memory, including conversation continuity, human-in-the-loop workflows, time travel, and fault tolerance.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-3",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/persistence.md",
    "excerpt": "Stores persist application-defined data outside the graph state. Use them for long-term, cross-thread memory, including user preferences, facts, and shared knowledge.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-4",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/interrupts.md",
    "excerpt": "Interrupts allow you to pause graph execution at specific points and wait for external input before continuing.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-5",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/interrupts.md",
    "excerpt": "you resume execution by re-invoking the graph using Command, which then becomes the return value of the interrupt() call from inside the node",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-6",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/streaming.md",
    "excerpt": "It exposes graph execution through stream modes such as updates, values, messages, custom, checkpoints, tasks, and debug.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-7",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/streaming.md",
    "excerpt": "Event streaming gives you separate iterators per projection (messages, values, subgraphs, output) so you can consume them independently",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-8",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/workflows-agents.md",
    "excerpt": "LangGraph offers several benefits when building agents and workflows, including persistence, streaming, and support for debugging as well as deployment.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-9",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/graph-api.md",
    "excerpt": "At its core, LangGraph models agent workflows as graphs. You define the behavior of your agents using three key components",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-10",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/graph-api.md",
    "excerpt": "It provides a few basic checks on the structure of your graph (no orphaned nodes, etc). It is also where you can specify runtime args like checkpointers and breakpoints.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-11",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "Short-term memory (thread-level persistence) enables agents to track multi-turn conversations.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-docs-12",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langchain/multi-agent.md",
    "excerpt": "Build bespoke execution flows with LangGraph, mixing deterministic logic and agentic behavior. Embed other patterns as nodes in your workflow.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-1",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-2",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-3",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-4",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-5",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "pip install -U langgraph",
    "fetchedAt": "2026-09-04T00:15:12.617Z"
  },
  {
    "id": "langgraph-gh-6",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Durable execution — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-gh-7",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Human-in-the-loop — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-gh-8",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Comprehensive memory — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-gh-9",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Production-ready deployment — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-docs-13",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "In production, use a checkpointer backed by a database: from langgraph.checkpoint.postgres import PostgresSaver",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-docs-14",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langchain/multi-agent.md",
    "excerpt": "Custom workflow: Build bespoke execution flows with LangGraph, mixing deterministic logic and agentic behavior. Embed other patterns as nodes in your workflow.",
    "fetchedAt": "2026-09-04T00:17:22.230Z"
  },
  {
    "id": "langgraph-docs-15",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/interrupts.md",
    "excerpt": "when you're ready to continue, you resume execution by re-invoking the graph using Command, which then becomes the return value of the interrupt() call from inside the node",
    "fetchedAt": "2026-09-04T00:19:26.358Z"
  },
  {
    "id": "langgraph-docs-16",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/graph-api.md",
    "excerpt": "By composing Nodes and Edges, you can create complex, looping workflows that evolve the state over time.",
    "fetchedAt": "2026-09-04T00:19:26.358Z"
  },
  {
    "id": "langgraph-docs-17",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langchain/multi-agent.md",
    "excerpt": "Custom workflow — Build bespoke execution flows with LangGraph, mixing deterministic logic and agentic behavior. Embed other patterns as nodes in your workflow.",
    "fetchedAt": "2026-09-04T00:19:26.358Z"
  },
  {
    "id": "langgraph-gh-10",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Debugging with LangSmith — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.",
    "fetchedAt": "2026-09-04T01:28:12.748Z"
  },
  {
    "id": "langgraph-docs-18",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/streaming.md",
    "excerpt": "LangGraph graphs expose the stream (sync) and astream (async) methods to yield streamed outputs as iterators.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-19",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/overview",
    "excerpt": "LangGraph gives you fine-grained control to mix deterministic, hand-coded steps with LLM-driven agentic steps in the same graph, so you can build bespoke agents.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-20",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "Add short-term memory as a part of your agent's state to enable multi-turn conversations.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-21",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langchain/multi-agent.md",
    "excerpt": "Here are the main patterns for building multi-agent systems, each suited to different use cases",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-22",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langchain/mcp.md",
    "excerpt": "LangChain agents call tools defined on MCP servers through MCPAdapter, which discovers a server's tools and adapts them into LangChain tools.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-23",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/langsmith/cli.md",
    "excerpt": "LangGraph CLI is a command-line tool for building and running the Agent Server locally.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-gh-11",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.",
    "fetchedAt": "2026-09-04T01:29:10.386Z"
  },
  {
    "id": "langgraph-docs-24",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/persistence.md",
    "excerpt": "Checkpointers persist a thread's graph state as checkpoints. Use them for short-term, thread-scoped memory... Stores persist application-defined data outside the graph state.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-25",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/interrupts.md",
    "excerpt": "Checkpointing keeps your place: the checkpointer writes the exact graph state so you can resume later, even when in an error state.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-26",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/streaming.md",
    "excerpt": "It exposes graph execution through stream modes such as `updates`, `values`, `messages`, `custom`, `checkpoints`, `tasks`, and `debug`.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-27",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/graph-api.md",
    "excerpt": "LangGraph models agent workflows as graphs. You define the behavior of your agents using three key components: State, Nodes, Edges.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-28",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "Short-term memory (thread-level persistence) enables agents to track multi-turn conversations. To add short-term memory:",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-29",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/workflows-agents.md",
    "excerpt": "Trace and compare these workflow patterns with LangSmith... Follow the tracing quickstart to see how data flows through each step.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-30",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/langsmith/cli.md",
    "excerpt": "LangGraph CLI is a command-line tool for building and running the Agent Server locally. The resulting server exposes all API endpoints for runs, threads, assistants, etc., and includes supporting services such as a managed database for checkpointing and storage.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-gh-12",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-31",
    "tier": "claimed-docs",
    "url": "https://www.langchain.com/langgraph",
    "excerpt": "Design agents that reliably handle complex tasks with LangGraph, an agent runtime and low-level orchestration framework.",
    "fetchedAt": "2026-09-15T23:53:31.337Z"
  },
  {
    "id": "langgraph-docs-32",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "Short-term** memory (thread-level [persistence](/oss/python/langgraph/persistence)) enables agents to track multi-turn conversations.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-docs-33",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/add-memory.md",
    "excerpt": "Add long-term memory to store user-specific or application-level data across sessions.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-docs-34",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/persistence.md",
    "excerpt": "Checkpointers persist a thread's graph state as checkpoints. Use them for short-term, thread-scoped memory, including conversation continu",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-docs-35",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/streaming.md",
    "excerpt": "Event streaming gives you separate iterators per projection (messages, values, subgraphs, output) so you can consume them independently instead of branching on `stream_mode` chunks.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-docs-36",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/oss/python/langgraph/workflows-agents.md",
    "excerpt": "Workflows have predetermined code paths and are designed to operate in a certain order.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-docs-37",
    "tier": "claimed-docs",
    "url": "https://docs.langchain.com/langsmith/cli.md",
    "excerpt": "LangGraph CLI** is a command-line tool for building and running the [Agent Server](/langsmith/agent-server) locally. The resulting server exposes all API endpoints for runs, threads, assistants, etc.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-gh-13",
    "tier": "github",
    "url": "https://github.com/langchain-ai/langgraph",
    "excerpt": "Low-level orchestration framework for building stateful agents.",
    "fetchedAt": "2026-09-16T00:01:42.368Z"
  },
  {
    "id": "langgraph-comm-1",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "I read the article but have yet to understand why someone would want to use a framework that introduces meaningless abstractions that are not properly documented or well maintained -aka, they often introduce breaking changes.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-2",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "One thing that's nice in LangGraph is the flexibility in what a node is. A node doesn't have to be an agent it can be any State manipulation function... It is a bit weird that LangGraph doesn't have a default Node class.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-3",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "LangGraph is different. It is a legitimate piece of workflow software and not a wrapper framework. Now, when it comes to workflow there are many other well established engines out there that I will consider first.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-4",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "LangGraph implements a variant of the Pregel/BSP algorithm for orchestrating workflows with cycles (ie. not DAGs) and parallelism without data races. You can design your graph as a state machine if you so desire.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-5",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "I think the main thing LangGraph adds is a state machine framework for human in the loop with time travel... you won't have to make your own state machine.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-6",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "The use case where they are helpful is 'bring your own keys' apps... The abstraction is very much worth it for me. That said: I migrated from LangChain to LiteLLM and never looked back.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-7",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=43468435",
    "excerpt": "How can one deploy LangGraph as an API (with production like features)? I have worked with langgraph serve to deploy locally, but are there other frameworks to deploy langgraph?",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-8",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=41203307",
    "excerpt": "Langgraph engineer seems promising, especially given the complexity in building an effective agentic AI solution. While Pregel seems like an overkill (to build graphs on internally in langgraph), not found other simpler tools that provide same flexibility.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-9",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=41203307",
    "excerpt": "by predeclaring the structure, you can show debugging UI of the full graph, even if you've only executed part of it... The downside is that this is an abnormal way of writing computer programs... If you want to dynamically change the control flow of your program... you'll wrestle against the up-front graph structure.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-10",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41722243",
    "excerpt": "In langgraph nodes are just functions that can do whatever you want... you don't have to use langchain tools or ToolNode with langgraph, you can absolutely write your custom tool handling logic.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-11",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41722243",
    "excerpt": "Almost none of those things are part of the LangGraph framework? LangGraph does the scheduling, checkpointing, state management, etc. All of those things are LangChain abstractions that you can use when building a graph.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-12",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41722243",
    "excerpt": "Hot take #1: For experienced developers, framework abstractions can add unnecessary complexity. Hot take #2: Built-in parallelism, while promising, can complicate debugging a lot.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-comm-13",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41722243",
    "excerpt": "The one thing I wish was better developed is persistence and streaming - they give sample code to stream, but it's essentially a complete implementation of streaming that every client needs to implement.",
    "fetchedAt": "2026-09-04T00:28:45.821Z"
  },
  {
    "id": "langgraph-probe-1",
    "tier": "probe",
    "url": "https://docs.langchain.com/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://docs.langchain.com/llms.txt # Docs by LangChain\n\n> Documentation for LangSmith, Fleet, and our open source packages.\n\nEach section index below lists",
    "fetchedAt": "2026-09-16T00:01:45.631Z"
  },
  {
    "id": "langgraph-probe-2",
    "tier": "probe",
    "url": "https://docs.langchain.com/oss/python/langgraph/overview.md",
    "excerpt": "PROBE docs-md: HTTP 200 at https://docs.langchain.com/oss/python/langgraph/overview.md > ## Documentation Index\n> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt\n> Use this fil",
    "fetchedAt": "2026-09-16T00:01:45.631Z"
  },
  {
    "id": "langgraph-probe-3",
    "tier": "probe",
    "url": "https://docs.langchain.com/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://docs.langchain.com/openapi.json, https://docs.langchain.com/swagger.json, https://docs.langchain.com/api/openapi.json, https://docs.langchain.com/.well-known/openapi.json)",
    "fetchedAt": "2026-09-16T00:01:45.631Z"
  },
  {
    "id": "langgraph-probe-4",
    "tier": "probe",
    "url": "https://docs.langchain.com/langsmith/cli",
    "excerpt": "official CLI documented at https://docs.langchain.com/langsmith/cli",
    "fetchedAt": "2026-09-16T00:01:45.631Z"
  }
]