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    LangChain’s Managed Deep Agents promises to handle the runtime for AI agents

    A promotional post says developers bring instructions, skills, tools and a model, while Managed Deep Agents provides an agent server, session management, credentials and tracing.

    CA
    1 Source, 16d ago, first seen 16d ago

    TLDR

    A promotional post presents LangChain’s Managed Deep Agents as the next step beyond managed deployment: developers supply an agent’s intelligence, while the service supplies the runtime they would otherwise need to assemble. The promised foundation includes a LangSmith Deployment agent server, session management, credentials and tracing. The post also says Managed Deep Agents is built on an open-source harness.

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    1 Source, first seen 16d ago

    Combined views

    3.1K

    1 Source, first seen 16d ago

    25 likes
    25 likes
    11 comments
    18 saves
    5 reposts

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    11 comments
    18 saves
    5 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @caspar_brgood overview on the managed agents landscape by @Sam_Witteveen we've seen many major ai companies ship a managed agent product over the past few months. this space will only continue to grow exponentially langchain first built a managed agent product two years ago - langsmith deployment - a self-hostable runtime for agent workloads. LSD has evolved with our open source ecosystem and is used today for hosting anything from simple langgraph workflows to complex apps built on deepagents harness this space has come a long way in two years. managed deployment was the first step. the next is to give devs a complete foundation for their agents, so they don't have to assemble it themselves. that's why we built managed deep agents: you bring the the agent's intelligence (its instructions, skills, tools, model) and we provide a managed runtime (LSD agent server, session management, credentials, tracing) out of all the options listed below, MDA is the only one built on an open source harness. if you're building agents, see how much time you could save: http://langch.in/mda

    1 Source

    @caspar_brgood overview on the managed agents landscape by @Sam_Witteveen we've seen many major ai companies ship a managed agent product over the past few months. this space will only continue to grow exponentially langchain first built a managed agent product two years ago - langsmith deployment - a self-hostable runtime for agent workloads. LSD has evolved with our open source ecosystem and is used today for hosting anything from simple langgraph workflows to complex apps built on deepagents harness this space has come a long way in two years. managed deployment was the first step. the next is to give devs a complete foundation for their agents, so they don't have to assemble it themselves. that's why we built managed deep agents: you bring the the agent's intelligence (its instructions, skills, tools, model) and we provide a managed runtime (LSD agent server, session management, credentials, tracing) out of all the options listed below, MDA is the only one built on an open source harness. if you're building agents, see how much time you could save: http://langch.in/mda