Getting Started with MemU

MemU is an open-source memory framework designed for AI applications. It provides intelligent memory management with 92.9% accuracy and up to 90% cost reduction compared to traditional memory solutions. Unlike simple vector databases or RAG systems, MemU offers autonomous memory organization, self-evolution, and intelligent forgetting mechanisms.

While RAG (Retrieval-Augmented Generation) is excellent for retrieving facts from documents, it's stateless and doesn't learn about users over time. MemU provides continuity by storing decisions, preferences, and context—not just knowledge. MemU and RAG are complementary: RAG informs the LLM, while MemU shapes its memory.

MemU features several unique capabilities:

  • File system approach: Organizes memories as documents/videos/images rather than fragmented data
  • Agent-based management: Uses a memory agent rather than simple one-shot inference
  • Dual retrieval: Combines embedding search with document search
  • Self-evolution: Continuously improves structure and generates new insights
  • Intelligent forgetting: Gracefully manages memory decay and importance

MemU uses a dedicated memory agent that automatically decides what to record, modify, or archive based on relevance and usage patterns. Think of it as having a personal librarian who organizes your context without manual intervention.

MemU targets sub-50ms lookups at scale using intelligent indexing, tiered storage, and dynamic importance algorithms—keeping the most relevant memories instantly accessible while maintaining performance as memory grows.

MemU implements human-like forgetting: less important memories gradually become less accessible rather than disappearing instantly. Core context is preserved while details fade, and memories can re-surface if they become relevant again.

MemU plugs into your existing agent framework without replacing your LLM or workflows. You can start with the managed cloud platform for instant access, or self-host using the open-source SDK. See Quickstart for a step-by-step integration.

MemU offers flexible deployment options:

  • Cloud Platform: Managed service with instant access and scalability
  • Self-Hosted: Open-source SDK for control and privacy
  • Enterprise Edition: Dedicated infrastructure with enterprise features
  • Hybrid: Combine cloud and on-prem components as needed

Yes. MemU is built for production with performance, observability, and scalable infrastructure. It also provides APIs for fine-grained control and monitoring as memory grows.

MemU is ideal for applications requiring persistent, evolving memory:

  • AI Education: Personalized learning with long-term context
  • AI Therapy: Support bots with continuity across sessions
  • AI Roleplay: Interactive storytelling and gaming
  • Customer Support: Context-aware assistance across sessions
  • Content Creation: Creative tools with memory-enhanced generation

Yes. MemU supports multimodal memory including text, images, videos, and other file types. It can maintain connections across media and preserve context across different content formats.

MemU can reduce operational costs through smarter context injection, storage optimization, and processing efficiency. Exact savings depend on your workload and memory patterns.

MemU scales by improving organization as data grows, while maintaining consistent retrieval via indexing, tiered storage, and autonomous memory management.

We provide multiple support channels:

  • Documentation: Comprehensive guides and API references
  • Community: GitHub discussions and community forums
  • Discord: Real-time chat with developers and users
  • Enterprise Support: Dedicated support for enterprise customers

MemU is open-source and welcomes contributions:

  • Code contributions via GitHub pull requests
  • Bug reports and feature requests
  • Documentation improvements
  • Community support and discussions
  • Sharing use cases and success stories