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Raindrop launches Workshop: a local debugging tool for AI agents with self-healing eval loops

By

Alexis Gauba

17d ago· 1 min readenProduct

Summary

Raindrop introduces Workshop, a debugging tool for AI agents that provides a local UI and MCP (Model Context Protocol) for streaming traces, replaying agent runs with edited prompts/models/tools, and creating self-healing eval loops. It aims to solve the fragmented debugging experience where traces, harnesses, and eval suites are scattered across different platforms.

Key quotes

· 3 pulled
Your agent fails at 1am, traces are in some SaaS dashboard, harness is on your machine, eval suite is in a third place, and Claude sees none of it.
Workshop is the first sane way to debug your agent locally.
The MCP lets you create self-healing eval loops. Claude Code reads your traces, writes evals, and fixes what's broken.
Snippet from the RSS feed
Raindrop helps AI engineers discover issues in production agents, and build “self-healing” agents that propose and validate fixes automatically.

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