Build Production AI Agents with Claude Managed Agents
Claude Managed Agents provides a managed platform to deploy autonomous agents that handle long-running tasks like file reading, code execution, web browsing, and tool integrations—using templates or quick starts to go from config to production in under a minute.
Platform Advantages Over Custom Builds
Claude Managed Agents runs on Anthropic's infrastructure, handling long-running, asynchronous tasks without developers building agent loops, tool execution, or runtimes from scratch. Agents operate in a secure sandbox, reading files, executing code, browsing the web, and running commands. Built-in optimizations include prompt caching, context compaction, and performance tweaks that boost efficiency and output quality. This raises the bar beyond open-source options like OpenClaw by enabling direct deployment of production-ready agents, such as those pulling unreviewed invoices from Box via API, reconciling line items, and generating disciplinary reports autonomously.
Streamlined Agent Creation Workflow
Access via Claude console > Managed Agents. Use Quick Start to describe an agent (e.g., "support agent with Slack and Notion") or select templates like support-to-engineer escalator, data analyst, or sprint retro facilitator. The platform generates a YAML/JSON config, prompts for API keys and environment variables (e.g., Slack channel, Notion docs), and refines via AI chat.
Test in preview: Debug mode shows tool calls, model thinking, and invocations; Transcript provides condensed logs. For a Slack/Notion support agent, setup takes ~40 seconds—add knowledge base docs, connect APIs, then query Slack (e.g., "What is Claude Managed Agents?"). Agent retrieves from Notion, cites sources, and responds in seconds.
Customize post-creation: Set model (e.g., Claude 3.5 Sonnet or Opus for extended reasoning), system prompt, MCP tools, or add skills. Track sessions by ID. Integrate via generated code snippets in TypeScript, curl, or Claude Code scaffolding.
Deployments for Support and Research Tasks
Slack/Notion Support Agent: Handles customer queries (e.g., password reset) by searching docs and responding in designated channels, using tools, long-term memory, and structured outputs.
Deep Research Agent: Quick Start creates one with Brave Search API, auto-selecting Opus model. Input query like "Current state of fusion energy: players, breakthroughs, timeline, challenges"—agent browses, synthesizes authoritative sources into a cited Markdown report (e.g., key players like Commonwealth Fusion Systems, investments, market outlook). Full cycle: chat to create, test, and output file in ~2 minutes.
Other ideas: Gmail inbox manager for routine answers/escalations; multi-step workflows connecting internal tools like Box or MCP for document review and data extraction. Sessions stream outputs for monitoring.