Skip to content
ClaudeClaude

What is Claude Managed Agents?

Claude Managed Agents is a suite of APIs for building production-ready agents. You define the tools, environments, and success criteria. Claude works until the job is done. Outcomes, multi-agent orchestration and memory are available as limited research preview. Apply here for early access: http://claude.com/form/claude-managed-agents

Apr 8, 20263mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

APIs for deploying scalable, stateful Claude agents in isolated sandboxes

  1. Claude Managed Agents provides APIs to define agents (tools, personas, capabilities) and run them as sessions inside isolated containers with filesystem, bash, and web search access.
  2. Developers configure reproducible sandbox environments (packages, network controls) and can mount resources like GitHub repos so agents can act directly on real codebases.
  3. A live event stream returns tool-call progress in real time, enabling UI integrations like a Kanban board that triggers and monitors agent sessions.
  4. Agents can be evaluated against explicit rubrics via separate grading contexts, iterating until criteria are met (e.g., performance targets) before submitting final results.
  5. The platform supports parallel sessions, memory-backed continuity, MCP-based integrations (Slack/Asana), and multi-agent coordination for incident response and recurring workflows.

IDEAS WORTH REMEMBERING

5 ideas

Treat agents as deployable, scalable backend services—not chat sessions.

Managed Agents focuses on APIs for running long-lived, tool-using work in containers that your app can trigger and supervise, making agent behavior operationalizable at scale.

Reproducible environments are a first-class control surface.

You preconfigure sandboxes with specific dependencies (e.g., Lighthouse, Puppeteer) and network rules, ensuring agents execute reliably and within security boundaries.

Real-time telemetry enables tight product integration.

Tool calls stream back over an event stream, so interfaces like Kanban boards can show progress, intermediate outputs, and status updates as the agent works.

Define “done” with explicit rubrics and let the agent iterate to reach it.

A separate grader evaluates results against criteria (e.g., Lighthouse > 90, no render blocking), and Claude uses feedback to fix misses and resubmit until it passes.

Parallelization is built in via multiple sessions/containers.

You can run multiple tickets simultaneously—each session has its own isolated container—so independent tasks proceed without blocking each other.

WORDS WORTH SAVING

5 quotes

Claude Managed Agents is a suite of APIs for building and deploying agents at scale.

— Speaker

You define what done looks like. Claude works until it gets there.

— Speaker

Two sessions, two containers, two separate tasks running in parallel.

— Speaker

Every tool call streams back to the board in real time through the event stream.

— Speaker

Memory ties all of this together.

— Speaker

Agent definitions (tools/personas/capabilities)Sessions and isolated containersSandbox environment configuration (packages/network controls)Mounted repositories and full filesystem accessEvent streaming to applications/UIsRubrics, graders, and iterative improvement loopsMemory store, MCP integrations, and multi-agent coordination

High quality AI-generated summary created from speaker-labeled transcript.

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome