Show HN: Claude Context but local – semantic code search without API keys

Show HN: Claude Context but local – semantic code search without API keys(github.com)

2 points by farhan99 323 days ago | 1 comment

Hi HN! I built a local alternative to Claude Context (the popular semantic code search tool).

The original requires OpenAI API keys for embeddings and Zilliz Cloud for vector storage. This version runs entirely on your machine using EmbeddingGemma and FAISS.

Key differences: - No API keys needed (uses local EmbeddingGemma model) - Your code never leaves your machine - Zero ongoing costs - Same semantic search quality

Technical details: - Tree-sitter for AST parsing to understand code structure - EmbeddingGemma (1.2GB) for semantic embeddings - FAISS for fast vector similarity search - MCP protocol for integration with Claude Code and other AI tools

Early benchmarks show ~70% reduction in token usage for Claude Code when searching large codebases.

Supports most major languages through Tree-sitter parsers - Python, JS/TS, Go, Java, JSX/TSX, Svelte, with more coming.

GitHub: https://github.com/FarhanAliRaza/claude-context-local

Would love feedback, especially on the approach to code chunking and embedding strategy!

intuxikated 323 days ago |

Looks really cool! As an Odoo developer (which means each customer's project is by definition a "large codebase", considering the size of Odoo itself) this could be really useful. Definitely am looking to try this out once my holiday ends.