Raindrop Workshop

Debugging AI agents is still mostly console.log and squinting at JSON blobs. Raindrop Workshop is a local debugger that surfaces what your agent actually did: which tools it called, what inputs went in, what came back, and where the chain broke. It runs on your machine, which means no data leaves your environment — a real differentiator for anyone building on customer data or under compliance constraints. The open-source angle matters too: you can extend it or wire it into your existing test harness instead of hoping the vendor adds the feature you need. The honest reservation is that local tooling can lag behind fast-moving agent frameworks — if your stack is LangGraph or a custom loop, check the supported adapters before committing. But even partial coverage of your agent's execution trace is more than most teams have right now. -> Best for: AI engineer or solo founder building LLM-powered agents who cannot pipe execution traces to an external SaaS