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Raindrop WorkshopDebug AI agents locally with real-time token streaming and self-healing loops

Debug AI agents locally with Raindrop Workshop. Free, open-source debugger with real-time token streaming, MCP integration, and self-healing agent loops.

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More About Raindrop Workshop

Raindrop Workshop

Raindrop Workshop is a free, open-source local debugger that gives AI agents the power to write and run their own evaluations. Watch your agents think in real-time, identify failures instantly, and create self-healing loops where your coding agent automatically fixes bugs and re-runs tests until everything passes.

Product Highlights

  • Live Streamed Traces: Every token, tool call, and decision streams to your local dashboard instantly—no polling or refreshing required
  • Multi-Framework Compatibility: Works seamlessly with TypeScript, Python, Rust, Go, Vercel AI SDK, OpenAI SDK, Anthropic SDK, LangChain, LlamaIndex, CrewAI, Mastra, and Claude Code CLI
  • Self-Healing Eval Loop: Your coding agent reads traces, writes evaluations, detects failures, fixes code, and re-runs automatically until all assertions pass
  • Local-First Architecture: Runs entirely on localhost:5899 with complete privacy—no data leaves your machine

Use Cases

  • AI Agent Development: Debug complex multi-step agents with full visibility into every decision point and tool invocation
  • Automated Evaluation: Build comprehensive test suites that verify agent behavior across symptom checking, customer support, coding assistance, and more
  • Continuous Improvement: Create feedback loops where Claude Code or similar agents automatically identify gaps in prompts and fix them without manual intervention

Target Audience

Raindrop Workshop is built for AI engineers, agent developers, and teams building production-grade AI systems who need deep observability and automated quality assurance for their LLM-powered applications.

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