Tools· AI Assistance & Agent Building

    Claude Managed Agents

    Anthropic's managed cloud infrastructure for running Claude as an autonomous, tool-using agent without building your own runtime.

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    Description

    Strengths

    Managed runtime
    the agent loop, tool execution, and execution environment run at Anthropic, so no infrastructure of your own is needed
    Prompt caching and compaction
    built in for more efficient runs during long, tool heavy sessions
    Stateful, resumable sessions
    conversation history, sandbox state, and outputs are kept server side, sessions can pause and resume cleanly
    Steering mid execution
    additional events can be sent partway through a run to guide the agent or interrupt it

    Assessment

    AI features

    • Agent definition set the model, system prompt, tools, MCP servers, and skills once, then reference the agent by its ID
    • Environment configuration determines where the agent runs, including in a cloud sandbox
    • Sessions a session ties together the agent and environment configuration and starts the actual run
    • Event streaming user messages go in as events, Claude runs tools autonomously and streams results back via server sent events, with the full history kept server side
    • Steer or interrupt send additional user events during execution to change direction

    Suitable for

    • Developer teams that want to run their own Claude based agents in production on an ongoing basis, without building their own runtime environment
    • Use cases with long running tasks spanning several minutes or hours with many tool calls
    • Recurring, scheduled agent runs that need to execute regularly without a manual start
    • Less suitable for Less suitable for simple, interactive one off requests, where the regular Claude access is sufficient

    Limitations and notes

    • Beta status according to the source, Claude Managed Agents is in beta and access runs through a separate beta header in the API
    • Target audience built for developer teams running agents in production, for simple one off requests in the regular Claude chat or in Claude Code the usual access is sufficient
    • Server side data because of the stateful design, conversation history, sandbox state, and outputs are stored server side
    • AWS variant differs according to the source, also available on Claude Platform on AWS, where feature availability and session behavior differ in some respects

    Quick start

    1. Check access: an Anthropic API account is enough, Managed Agents is enabled there by default according to the source, and calls go through the Claude Platform API with a separate beta header
    2. Define the agent: set the model, system prompt, tools, MCP servers, and skills, and create the agent once
    3. Configure the environment: decide where the agent runs, for example in a cloud sandbox
    4. Start a session: create a session that references the agent and environment configuration
    5. Send the first event: send a user message as an event and stream the response back via server sent events
    6. Steer when needed: send further events during execution to guide the agent, or interrupt it

    Tips

    • Use the event history for traceability, the full history is kept server side and can be retrieved in full
    • When deploying on AWS, check the differences in feature availability and session behavior beforehand
    • For recurring tasks, use planned deployments instead of manual starts
    • Before going to production, check the current state of the documentation, since the offering is in beta

    Access

    Last reviewed: · Pricing, plans and features are a snapshot in time. Check the provider's own page before deciding.

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