Raindrop Workshop debuts local agent debugger
Raindrop Workshop is a free, open-source, local debugger for AI agents that streams token-level traces into a browser UI. It adds an MCP bridge so another agent, like Claude Code, can read traces, write evals, and help fix failures in a tighter debug loop.
This is a strong “debugging layer” bet, not just another observability dashboard. The interesting part is the workflow: local traces, replay, eval generation, and fix verification all chained together so agent development gets closer to a real feedback loop.
- –Local-first tracing lowers the friction for iterating on agents without shipping logs to a SaaS first
- –MCP support is the sharpest angle here, because it lets a second agent inspect and act on traces directly
- –The self-healing loop is compelling, but only if teams actually trust the replay and eval outputs enough to automate decisions
- –Open source plus free makes this easy to trial, which matters in a category where adoption usually dies on setup pain
- –It sits near the overlap of debugging, evals, and observability, but the product story is really about closing the loop on agent failures
DISCOVERED
3h ago
2026-05-14
PUBLISHED
8h ago
2026-05-14
RELEVANCE
AUTHOR
[REDACTED]