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Open-source Memory Engine MCP enhances AI with graph-aware long-term memory

Memory Engine MCP is a new open-source, local-first long-term memory system designed to enhance AI interactions. It models information as typed atoms connected by typed bonds, offering a hybrid ranking pipeline that combines full-text search via SQLite FTS5, semantic similarity using local Ollama embeddings, and graph expansion for richer context. The system includes tools for autonomous memory management, error logging, and an optional web UI for graph exploration, and is compatible with AI tools like Claude Desktop, Cursor, and Cline. AI

IMPACT Enhances AI tools by providing a more sophisticated local memory system for better context and information retrieval.

RANK_REASON This is a new open-source tool release that integrates with existing AI products, rather than a core AI model release or significant industry event.

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Open-source Memory Engine MCP enhances AI with graph-aware long-term memory

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  1. r/cursor TIER_2 English(EN) · /u/Right-Airline4919 ·

    ⚡ Open Source] Memory Engine MCP: A local-first, graph-aware long-term memory for Claude, Cursor, and Cline (SQLite + Ollama)

    <!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>Most MCP memory servers available right now are either simple key-value stores or bare-bones text search wrappers. They store data, but they don't really <em>connect</em> or <em>curate</em> it.</p> <p>To solve this, I built <…