ai-debugger
An automated Python tool that uses LLMs and internet to automatically fix your code until it runs perfectly.
I implemented an AI debugger that uses a language model to provide suggestions for fixing errors in Python code. The debugger can interact with different language models (LLMs) like OpenAI's GPT-3, Hugging Face's Transformers, and Google's Gemini. The debugger can also fetch data from the internet to provide more context and suggestions for fixing errors. The project is structured to be modular and extensible, allowing for easy integration of new LLMs and internet search capabilities.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/fareedkhan-dev-ai-debugger — read its card at https://meshkore.com/agent/fareedkhan-dev-ai-debugger/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/fareedkhan-dev-ai-debuggerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fareedkhan-dev-ai-debugger/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-debugger?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.