Give your AI coding assistant a brain: persistent memory, hybrid code search, AI-authored annotations, and an AST symbol graph — 100% local MCP server, no API keys.
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# ProjectMind MCP > Give your AI coding assistant a brain. Persistent memory, semantic code search, a symbol-level call graph, and project intelligence — all running locally with no API keys required. [](https://github.com/mykolariabokon/project-mind-mcp/actions/workflows/ci.yml)    [](https://pypi.org/project/projectmind-mcp/) **ProjectMind** is an open-source [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that supercharges AI assistants like Claude, Zencoder, and Cursor with long-term project memory and intelligent codebase search. > 🤖 **This project is developed with AI** — designed, coded, tested, and documented in continuous collaboration with AI coding assistants from day one. Publicly open on GitHub for both human developers and autonomous AI agents. --- ## Why ProjectMind? Every time you start a new AI session, your assistant forgets everything about your project. ProjectMind solves this: - **No more re-explaining** your architecture every session — memory persists in `.ai/memory.md` - **Semantic code search** that understands *what* code does, not just *what* it's named - **Symbol graph** — ask "who calls this function?" and get exact file:line answers - **Dependency graph analysis** to understand how modules connect - **Works 100% locally** — your code never leaves your machine - **Non-blocking by default** — incremental indexing runs in the background, eliminating IDE timeouts **New in v0.11.0**: ⏱️ Full background incremental indexing (`index_changed_files`), automatic crash/stale state recovery, GPU acceleration auto-detection for embeddings, and complete elimination of tool ti…
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