MemU

MemU is an agentic memory framework designed for LLMs and AI agents that provides persistent, self-evolving memory capabilities. It enables autonomous AI agents to continuously predict user intentions, act proactively, and work around the clock with intelligent memory management. The platform achieves 92.09% average accuracy in reasoning tasks and offers sub-50ms latency with 99.9% uptime SLA.

• Three-Layer Memory Architecture provides a unified multimodal memory framework consisting of Resource Layer (raw data), Memory Item Layer (fine-grained memory items), and Memory Category Layer (thematic knowledge structures) with full bidirectional traceability.

• Dual-Mode Retrieval combines embedding search for fast semantic matching with LLM-based search that allows models to directly read and interpret memory category files for richer context understanding.

• Response API offers one API call for fully autonomous responses where agents retrieve memories, generate context-aware replies, and store new learnings automatically—perfect for 24/7 agents.

• Memory API provides full control over agent memory with semantic search, pattern queries, and bulk operations for storing strategic insights and building agents that anticipate user needs.

• Self-Evolution Capability enables memory structures to adapt automatically based on usage patterns and agent behavior, with intelligent forgetting mechanisms that gracefully manage memory decay.

• Multimodal Support handles text, images, audio, and video inputs, transforming heterogeneous data into queryable, semantically interpretable textual memory.

• Visual Memory Console allows real-time monitoring of memory health, decision tracing, and agent behavior debugging.

• User Intention Prediction continuously infers user intentions from behavior patterns, enabling agents to know what users need before they ask.

To get started, install the Python SDK with pip install memu-py, initialize the MemuClient with your API key, and use the memorize_conversation method to store interactions. The platform integrates with OpenAI, Anthropic, Gemini, DeepSeek, Qwen, and LangGraph, with CrewAI, N8N, and Dify integrations coming soon. MemU offers both cloud-hosted and self-hosted deployment options through its open-source components including memU-server and memU-ui.