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.; cf-worker-mcp-template: This is a comprehensive skeleton for Cloudflare Workers built with TypeScript. It includes pre-configured features like MCP (Model Context Protocol) tools, OpenAI-compatible embeddings API, and various Cloudflare bindings (KV, D1, R2, Durable Objects). The project also provides a scaffolding tool to generate new MCP tools and includes CI/CD via GitHub Actions.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Building AI assistants with MCP tools