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Raindrop Workshop brings a local AI agent debugger and self healing eval loop to developers

Technology
Published on 15 May 2026
Raindrop Workshop brings a local AI agent debugger and self healing eval loop to developers

All agent traces stream live into a single .db file

Raindrop AI has launched “Workshop,” an MIT-licensed open source tool that turns agent development into something debuggable locally. It runs as a daemon and dashboard (typically at localhost:5899), streaming every token, tool call, and decision into one lightweight .db for fast, private trace review. Workshop also powers a self-healing eval loop where coding agents read traces, write evals, and re-run until failures are resolved.

  • Streams tokens, tool calls, and decisions to a local dashboard at localhost:5899
  • Stores traces in a single lightweight SQL .db file to avoid external polling latency
  • Includes a self-healing eval loop that lets agents write evals and rerun fixes
  • Works on macOS, Linux, and Windows, compatible with TypeScript, Python, Rust, and Go
Read the full story at Venture Beat

This summarization was done by Beige for a story published on Venture BeatVenture Beat

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