Raindrop Workshop is the first local debugger for agents. It's free, local, and open source. Your local agent traces stream, token-by-token, instantly. Another Agent like Claude Code can read them over MCP. Then Claude can write evals, replay traces, fix bugs... and do it all over again. This is the Self-Healing Agent loop. And it’s only possible on Raindrop. Check it out and star on Github here: https://github.com/raindrop-ai/workshop
Finding exactly where an agent broke in a giant log file is a huge pain. Streaming traces locally is way faster than waiting on slow cloud dashboards. But the best part is definitely the MCP setup letting Claude Code read its own error logs to fix its own bugs is pretty wild.
hi alexis! the unsolved question with agent debuggers is the right unit of inspection. tokens are too noisy, plans are too abstract, the message/tool-call layer is where bugs actually live but the trace gets huge fast. did raindrop pick one layer as default and let you drill, or stitch all three into one view? anyway, congrats and good luck :)
Congrats on launch @alexisgauba ! How your solution is different from running /review, /ultrareview, /debug inside Claude Code/Codex? Am I missing something?
Agents have been such a black box, you're all doing an amazing job and helping me make sense of building in the new world. Congratulations and thank you for this!
Finally, a proper debugger for the agent era. Bridging traces over to other agents via MCP is such a smart architectural move. I love the focus on local-first—it makes iterating on sensitive agent logic much more viable. Does Raindrop support custom visualizers for specific tool-call outputs yet?
We've been building an agent and this is exactly what we've been looking for! so excited to give this a spin
Really excited about this! If I'm a fan of Vercel's AI SDK local debugger what should I expect from this one? Raindrop integration I assume?
This is incredible! Using it to improve your prompting and execution is already a massive improvement, but your agent being able to use it itself just tightens the feedback loop. Huge!
This was so easy to integrate and view my agent traces. No more console logging!!
Welcome to the self-improving agentic world. Very solid team, great launch. Congrats Alexis!
About Raindrop Workshop on Product Hunt
“Open source, free, local debugger for AI agents”
Raindrop Workshop launched on Product Hunt on May 14th, 2026 and earned 173 upvotes and 24 comments, placing #6 on the daily leaderboard. Raindrop Workshop is the first local debugger for agents. It's free, local, and open source. Your local agent traces stream, token-by-token, instantly. Another Agent like Claude Code can read them over MCP. Then Claude can write evals, replay traces, fix bugs... and do it all over again. This is the Self-Healing Agent loop. And it’s only possible on Raindrop. Check it out and star on Github here: https://github.com/raindrop-ai/workshop
Raindrop Workshop was featured in Open Source (68.4k followers), Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 194.1k products, making this a competitive space to launch in.
Who hunted Raindrop Workshop?
Raindrop Workshop was hunted by Alexis Gauba. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Alexis Gauba
Hey PH! This is Alexis, Co-Founder of Raindrop.
Your agent fails at 1am, traces are in some SaaS dashboard, harness is on your machine, eval suite is in a third place, and Claude sees none of it.
We've been stuck in this loop. So we built our way out of it. Workshop is the first sane way to debug your agent locally.
It has two parts: a local UI and an MCP.
Every span streams live to a local browser UI and you can replay any agent run with edited prompts, models, and tools.
The MCP lets you create self-healing eval loops. Claude Code reads your traces, writes evals, and fixes what's broken.
It's free, open source, and works with all the agent SDKs you already use.
One command to install: curl -fsSL https://raindrop.sh/install | bash
Excited to hear what you think!