plastic-labs

    plastic-labs/honcho

    Memory library for building stateful agents

    8.0K stars
    972 forks
    28 GitHub watchers
    Updated Nov 7, 2026
    View on GitHub

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    Where it stands

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

    5 releases in the last 90 days, the latest 8 days ago, with 73 contributors on GitHub.

    Peaked at #20 in the weekly ranking the week of Apr 26, its best in the past year.

    Use Cases & Benefits

    • Provides an open source memory library and managed service for building stateful AI agents that maintain evolving knowledge about entities.
    • Enables continual learning and rich reasoning to improve agent retention, trust, and personalized behavior across diverse models and architectures.
    • Use for building AI assistants that remember and adapt to user preferences over long-term interactions.
    • Use for creating multi-agent systems with shared and individual memory to support complex conversations and collaboration.
    • Use for developing retrieval-augmented generation (RAG) applications that leverage vector-embedded documents and session context.

    Should you depend on it?

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

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.

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

    From the README

    Honcho is an open source memory library with a managed service for building stateful agents. Use it with any model, framework, or architecture. It enables agents to build and maintain state about any entity--users, agents, groups, ideas, and more. And because it's a continual learning system, it understands entities that change over time. Using Honcho as your memory system will earn your agents higher retention, more trust, and help you build data moats to out-compete incumbents.

    Honcho has defined the Pareto Frontier of Agent Memory. Watch the video, check out our evals page, and read the blog post for more detail.

    With Honcho you can easily setup your application's workflow, save your interaction history, and leverage the reasoning it does to inform the behavior of your agents

    Typescript examples are available in our docs.

    This is a simple example of how you can use Honcho to build a chatbot and leverage insights to personalize the agent's behavior.

    Sign up at app.honcho.dev to get started with a managed version of Honcho.

    Learn more ways to use Honcho on our developer docs.

    Read about the design philosophy and history of the project on our blog.

    Excerpt from the plastic-labs/honcho README on GitHub (AGPL-3.0 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

    972+162

    Open issues

    181+16

    Compared with peers in AI

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

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