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.; codeindex: codeindex is a dependency analyzer that builds a blast-radius impact score for every file in your repo — showing which files will break if a given file changes. It also generates a symbol index mapping every function and class to its exact file and line number, so AI tools can locate any symbol in one lookup without scanning the whole codebase. Supports 12+ languages, zero required dependencies (pure Python stdlib), and five consumption modes including CLI, MCP server, and CLAUDE.md injection.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Assessing refactoring risk before touching a high-impact file