A local-first MCP server that provides cross-validated memory management for AI agents with multi-source support and vector search capabilities. Designed for developers building persistent knowledge systems with Claude and other AI platforms.
Rein is a Model Context Protocol (MCP) server that enables AI agents to maintain persistent, cross-validated memory across multiple sources. It provides a sophisticated memory layer with embeddings-based vector search, knowledge graph capabilities, and support for Chinese language processing through jieba tokenization. The tool operates locally-first, ensuring data privacy while offering reliable memory retrieval for AI agents.
Rein is built in Rust and runs as an MCP server. Installation involves: (1) Cloning the repository from GitHub, (2) Building the Rust project with cargo, (3) Configuring it as an MCP server in your AI agent environment (compatible with Claude, Gemini, and other platforms), (4) Connecting to a local SQLite database for persistent storage. Configuration files enable integration with your existing AI workflows.
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