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.; mcphub: MCPHub is a unified hub designed to simplify the management and scaling of multiple Model Context Protocol (MCP) servers. It organizes these servers into flexible Streamable HTTP (SSE) endpoints, enabling access to all servers, individual servers, or logical server groups. This platform offers features like centralized management, flexible routing, and Docker-ready deployment for seamless operation.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Centralized access for AI clients to multiple MCP servers.