Build a local RAG and knowledge graph agent for code analysis
Deploy a privacy-preserving AI coding agent on your laptop with RAG, knowledge graphs, and tool access
About this automation
Set up a local AI agent that combines RAG (retrieval-augmented generation) with knowledge graphs to understand code relationships, augmented with tools like search, Docker execution, and vision capabilities to validate code without privacy exposure.
How to implement
Install Claw-Coder via brew tap gabriel-c70/claw && brew install claw-coder
Configure a local LLM (8B-13B model) as the agent backbone
Set up a vector store for RAG to handle large codebases without context window overflow
Build a knowledge graph mapping code entities and relationships in your codebase
Expose tools: search_tool for up-to-date info, Docker execution for code validation
Add vision LLM for HTML/CSS rendering verification
Test on real codebases and iterate based on feedback