VelesDB-Memory gives AI agents offline, multi-hop memory using three cognitive stores

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A developer has released velesdb-memory, an open-source MCP server designed to give AI coding assistants persistent, structured memory that works entirely offline. Unlike standard vector-search approaches, the tool implements three distinct memory types drawn from cognitive science: semantic (facts and decisions), episodic (timestamped events), and procedural (learned patterns). A key differentiator is the 'why' tool, which combines semantic search with multi-hop graph traversal to surface reasoning buried across disconnected notes or meetings. The single binary runs locally over stdio, meaning all stored memory remains on the user's machine and requires no internet connection. It is built in Rust and integrates with clients such as Claude Code, Cursor, and Cline via the Model Context Protocol.

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