CodeRAG
Local-first, zero-key semantic code search for large and custom codebases — hybrid vector + keyword retrieval with symbol-aware chunking. Usable as a CLI, Python.
Category
AI Coding
Quality
85/100
Primary source
GitHub
What is CodeRAG?
Local-first, zero-key semantic code search for large and custom codebases — hybrid vector + keyword retrieval with symbol-aware chunking. Usable as a CLI, Python library, REST API, or web UI.
Key features
Best fit
Why consider it
- CodeRAG is categorized for ai coding workflows and tagged with Code review, Debugging, Agents.
- The public repository has 225 stars, which gives buyers and builders an extra adoption signal.
- License metadata is available: Apache-2.0.
Source & verification
- Verified on Jun 30, 2026 from public source metadata.
- Primary reference: github.com.
- Repository freshness signal: last commit Jun 23, 2026.
Alternative tools
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini,.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Related tools
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent.