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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

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
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