MemU

Shared memory layer that lets AI agents remember context across sessions and tools.

Visit Website ↗ by NevaMind

What is MemU?

MemU is a memory infrastructure layer for LLM-powered applications, especially AI agents and companions. It works like a self-organizing file system that links, refines, and evolves stored information into a connected knowledge graph, so assistants can recall preferences, decisions, and learned skills across sessions and tools. Developers integrate it through Python, JavaScript, or REST APIs with support for OpenAI, Anthropic, Gemini, and other providers. It is available as a hosted cloud service and as a self-hosted deployment, with enterprise pilots for private infrastructure.

Key features

  • Shared cross-agent memory with source-linked recall
  • Self-organizing knowledge graph of stored information
  • Python, JavaScript, and REST API integrations
  • Support for OpenAI, Anthropic, Gemini, and other providers
  • Hosted cloud service plus self-hosted option
  • Continuous memory improvement and fast retrieval

Pros

  • Solves agent amnesia across sessions and devices
  • Memories are inspectable and linked to their sources
  • Self-hosted option for privacy-sensitive teams
  • Enterprise design-partner engagements available

Cons

  • Requires your own LLM provider API key
  • Relatively new product with a still-maturing ecosystem
  • No public pricing for the cloud tier

MemU at a glance

PricingPaid
CategoryCoding & Development
Platformsweb, api
CompanyNevaMind
Official websitememu.pro
ai-agentsagent-memoryllm-infrastructureknowledge-graphdeveloper-toolsapirag

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MemU FAQs

What is MemU?

MemU is a memory infrastructure layer for LLM-powered applications, especially AI agents and companions. It works like a self-organizing file system that links, refines, and evolves stored information into a connected knowledge graph, so assistants can recall preferences, decisions, and learned skills across sessions and tools. Developers integrate it through Python, JavaScript, or REST APIs with support for OpenAI, Anthropic, Gemini, and other providers. It is available as a hosted cloud service and as a self-hosted deployment, with enterprise pilots for private infrastructure.

What are the main features of MemU?

MemU offers Shared cross-agent memory with source-linked recall, Self-organizing knowledge graph of stored information, Python, JavaScript, and REST API integrations, Support for OpenAI, Anthropic, Gemini, and other providers, Hosted cloud service plus self-hosted option and Continuous memory improvement and fast retrieval.

How much does MemU cost?

MemU is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.

What are the pros and cons of MemU?

Strengths of MemU include Solves agent amnesia across sessions and devices; Memories are inspectable and linked to their sources; Self-hosted option for privacy-sensitive teams. On the downside, Requires your own LLM provider API key; Relatively new product with a still-maturing ecosystem; No public pricing for the cloud tier.