Persistent, auditable memory system for AI coding agents with hybrid BM25+vector search. Supports 81 MCP tools and 17 AI clients. Zero runtime dependencies required.
mind-mem is a memory management system designed specifically for coding agents and AI assistants. It provides persistent, auditable, and contradiction-safe memory storage using a hybrid search approach combining BM25 full-text search and vector embeddings with Reciprocal Rank Fusion (RRF) ranking. The system supports multiple transport methods including HTTP, inbox, and daemon modes, making it flexible for various agent architectures.
Install via pip as a Python package. Configure transport protocol (HTTP/inbox/daemon). Initialize SQLite database for memory storage. Register with your AI client (supports Claude, ChatGPT, and 15+ others via MCP protocol). Set up hash-of-code pipeline for automatic invalidation when dependencies change.
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