OurBook MCP Server Gives AI Agents Narrative Memory With Dream-Based Consolidation

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A developer has built OurBook, an open-source Model Context Protocol (MCP) server designed to give AI agents narrative memory rather than simple fact storage. Unlike conventional memory MCPs that store and retrieve raw data, OurBook records shared experiences between a user and an agent, tagging each memory with a veracity field — real, observed, imagined, or hypothetical — to prevent the agent from presenting dreams or fiction as facts. A subsystem called Mnemosyne consolidates memories overnight by sampling emotionally salient fragments and recombining them into traceable dream sequences, mimicking hippocampal replay during sleep. The architecture uses a fallback model chain so dreaming and consolidation can run locally or fully offline, and all activity is logged for auditability. Users can export their full history to OurBook.md or .html, and an identity-seed.json file allows a new AI model to inherit the accumulated relational history seamlessly.

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