Automatically extracts architectural decisions, patterns, and insights from Git commits to build a local, structured project memory. It exposes this living context to AI tools via MCP, allowing them to understand the historical reasoning and evolution behind your codebase.
Local-first CLI that mines git history for file-level co-change patterns and builds a queryable knowledge graph for AI coding agents, exposed via an MCP server.
An MCP server that gives AI agents git repository access: status, log, diff, branch, commit, push, pull, tag, stash, remotes — 24 tools, zero dependencies, pure Python stdlib (subprocess).
AI-powered Git workflow intelligence — 10 tools for commit messages, branch naming, PR descriptions, changelogs, and stream-based context management. Works with Cursor, Claude Desktop, Windsurf, VS Code, and all MCP clients.
