crllm
Provides AI-powered code reviews using local or cloud-based Large Language Models (LLMs) to help developers improve code quality and catch bugs efficiently.
CRLLM is a powerful command-line tool that enables developers to get code reviews from state-of-the-art Large Language Models (LLMs). Whether you want to use Ollama for locally running LLMs or connect to cloud services like ChatGPT, Hugging Face, and Azure, CRLLM has you covered. Improve your code quality, catch potential bugs, and receive AI-driven suggestions to enhance your development workflow. Get recommendations on best practices, bug-prone areas, and potential refactoring. Learn from the suggestions how to improve your code, gaining new insights and techniques.
⚡ 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/lukas-rump-crllm — read its card at https://meshkore.com/agent/lukas-rump-crllm/.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/lukas-rump-crllmFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lukas-rump-crllm/.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 crllm?
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.
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