Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

This post details the construction of a research agent using Anthropic's Claude Managed Agents. It extends a console agent to a full research desk by incorporating skills (e.g., SEC EDGAR), subagents, custom tools, and a shared memory store. A key feature is the implementation of outcome-graded analysis, where a grader evaluates the agent's work against a rubric, prompting retries until a passing grade is achieved. The discussion also touches upon vaults for secret management, the distinction between the Agent SDK and managed agents, guardrails for agent loops, and shared memory mechanisms.