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    LangChain Founder Highlights MongoDB Backend Support

    LangChain founder comments on swappable storage for agent workspaces.

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    LA
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    3 Sources, 27d ago, first seen 27d ago

    TLDR

    Harrison Chase posted that agent workspaces need to be durable, inspectable, and swappable. He noted Deep Agents keep a virtual file system behind a BackendProtocol so code can continue using read, write, glob, and grep calls while teams pick their storage layer. Chase wrote that he was glad to see MongoDB support the approach. The official LangChain account retweeted a post stating users can now build deepagents on MongoDB Atlas with a backend on top of an object store.

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    11.2K

    3 Sources, first seen 27d ago

    Combined views

    11.2K

    3 Sources, first seen 27d ago

    76 likes
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    23 comments
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    21 reposts

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    23 comments
    37 saves
    21 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    3 Sources

    @sydneyrunkleyou can now build deepagents on top of @MongoDB Atlas!! this backend, built on top of an underlying object store, supports more robust search including MongoDB search, vector search, and hybrid search! check out the blog to learn more!
    @hwchase17Agent workspaces should be durable, inspectable, and swappable Deep Agents’ virtual file system is intentionally behind a BackendProtocol, so the agent code can keep using read/write/glob/grep while teams choose the storage layer that fits production Nice to see MongoDB support this!
    @LangChainRT @sydneyrunkle: you can now build deepagents on top of @MongoDB Atlas!! this backend, built on top of an underlying object store, suppo…

    3 Sources

    @sydneyrunkleyou can now build deepagents on top of @MongoDB Atlas!! this backend, built on top of an underlying object store, supports more robust search including MongoDB search, vector search, and hybrid search! check out the blog to learn more!
    @hwchase17Agent workspaces should be durable, inspectable, and swappable Deep Agents’ virtual file system is intentionally behind a BackendProtocol, so the agent code can keep using read/write/glob/grep while teams choose the storage layer that fits production Nice to see MongoDB support this!
    @LangChainRT @sydneyrunkle: you can now build deepagents on top of @MongoDB Atlas!! this backend, built on top of an underlying object store, suppo…