langchain-ai

    langchain-ai/langgraph

    Build resilient agents.

    44.3K stars
    7.6K forks
    44.3K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 287 contributors on GitHub.

    Gained 28% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Builds and manages long-running, stateful AI agents with durable execution and human-in-the-loop capabilities.
    • Enables resilient agent workflows that persist through failures and support complex stateful memory and debugging.
    • Use for creating AI assistants that require persistent memory and can recover from interruptions.
    • Use for developing enterprise-grade multi-agent systems with human oversight and detailed execution tracing.
    • Use for deploying scalable, production-ready AI workflows that integrate with LangChain and LangSmith tools.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.

    Then, create an agent using prebuilt components:

    For more information, see the Quickstart. Or, to learn how to build an agent workflow with a customizable architecture, long-term memory, and other complex task handling, see the LangGraph basics tutorials.

    Excerpt from the langchain-ai/langgraph README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    7.6K+1.1K

    Open issues

    446-226

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    langchain-ai/langgraph compared with AI repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    D4Vinci/Scrapling101.1K+6.3K756 days ago
    thedotmack/claude-mem115.8K+4.7K75today
    heygen-com/hyperframes82.3K+4.0K75today
    harry0703/MoneyPrinterTurbo142.0K+3.8K753 days ago
    github/spec-kit149.2K+2.6K75today
    langchain-ai/langgraph44.3K—652 days ago
    Category median115.8K+4.0K75—

    Also by langchain-ai

    Other repositories from this maintainer that GStars tracks

    Discover Repositories

    Search across tracked repositories by name or description