semble

Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

semble is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms) and Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 5.1k GitHub stars.