I created a multi llm review system inside of Claude code

Hello everyone, I want to share with you my first open source project. I build it for myself and I saw that it adds some values thus I decided to make it public. What is? Multi-model code review for Claude Code. Basically an addon, slash commands, hooks, personalised status line and a persistent knowledge database. Why I started to build it? Basically I had some credits on open router and I was also paying for nano-gpt subscription, 8usd per month that gives you 2000 messages to top tier open source models (latency is not that good), and I wanted to bring some value to Claude code Claude code is already really good, especially when I'm using it with super Claude framework, but I added some new features. https://github.com/calinfaja/K-LEAN Get second opinions from DeepSeek, Qwen, Gemini, GPT-right inside Claude Code. What you get: • /kln:quick - Fast review (~30s) /kln:multi - 3-5 model consensus (~60s) • /kIn:agent - 8 specialists (security, Rust, embedded C, performance) • /kln:rethink - Contrarian ideas when stuck debugging Plus: Knowledge that persists across sessions. Capture insights mid-work, search them later. Works with NanoGPT or OpenRouter. Knowledge features run fully offline