Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.
$ git clone https://github.com/Goldziher/basemind.git▲ +2 ★ this week
Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.
▲ +3 ★ this week
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.
AI pair programming in your terminal — one static binary, sub-ms startup, any model
▲ +2 ★ this week
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agents for faster, smarter context on large codebases.
Your coding agent starts every session blank. Rekal is the memory your team is missing
Data from GitHub · snapshot Nov 13, 2026