Deebo is an agentic debugging system wrapped in an MCP server, so it acts as a copilot for your coding agent.

Think of your main coding agent as a single threaded process. Deebo introduces multi threadedness to AI-assisted coding. You can have your agent delegate tricky bugs, context heavy tasks, validate theories, run simulations, etc.

The cool thing is the agents inside the deebo mcp server USE mcp themselves! They use git and file system MCP tools in order to actually read and edit code. They also do their work in separate git branches which provides natural process isolation.

Deebo scales to production codebases, too. I took on a tinygrad bug bounty with me + Cline + Deebo with no previous experience with the tinygrad codebase. Deebo spawned 17 scenario agents over multiple OODA loops, and synthesized 2 valid fixes! You can read the session logs here and see the final fix here.

If you’ve ever gotten frustrated with your coding agent for looping endlessly on a seemingly simple task, you can install Deebo with a one line npx deebo-setup@latest. The code is fully open source! Take a look at the code! https://github.com/snagasuri/deebo-prototype

I came up with all the system design, implementation, etc. myself so if anyone wants to chat about how Deebo works/has any questions I'd love to talk! Would highly appreciate your guys feedback! Thanks!