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Basic Information

MemU is an open-source memory framework designed to give AI companions persistent, organized and cost-efficient memory capabilities. It functions as an intelligent “memory folder” and a memory agent that automatically records, manages and links conversational data so assistants can remember user information and context across interactions. The project provides a cloud-hosted platform with managed APIs for quick integration, a Python client package for developers, and a self-hosted community edition for data privacy and customization. MemU emphasizes high accuracy in retrieval and reasoning, reports a 92% score on the Locomo benchmark, and claims up to 90% cost reduction through optimized processing and batching. The repository contains examples, an API reference, documentation for self-hosting and enterprise options, and tools to integrate memory into varied AI companion scenarios.

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Features
MemU offers advanced retrieval strategies including semantic, hybrid and contextual search and treats memory as a structured file system with autonomous organization. The memory agent decides what to record, modify or archive and builds an interconnected knowledge graph by linking related memories. It includes an adaptive forgetting mechanism that prioritizes frequently accessed information and deprioritizes stale content. The framework supports continuous offline analysis and self-reflection to generate summaries and new insights. Developer tooling includes a Python client (memu-py) and API endpoints for memorizing conversations, quick-start examples, cloud and self-hosting deployment guides, and enterprise features such as custom licensing, SSO/RBAC integration and analytics for production monitoring.
Use Cases
MemU helps developers build AI assistants that retain user context and personal data across sessions, improving continuity and personalized responses. By grouping conversation turns into documents and batching memory operations, it enables faster retrieval and reduces API/token costs, which the project claims can reach large savings. The memory agent’s autonomous organization and linking turn search into recall, aiding multi-turn reasoning, temporal queries and multi-session synthesis. Self-hosting supports privacy and customization while the cloud option offers managed infrastructure and rapid integration. Enterprise capabilities provide security, customization, and analytics for production deployments. Typical use cases include AI companions, role play, education, therapy, robot control, character IP and creative assistants.

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