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MemU

One shared, inspectable memory layer that carries context across your AI agents, sessions, and devices.

Data verified Nov 3, 2026

66
Pundit
Score
Alternatives
Alternatives
Try it free
Free plan
Best for
Developers

About MemU

MemU is an open-source memory framework (by NevaMind-AI) that gives LLM-based agents and AI companions a persistent, cross-agent memory layer with source-linked recall and human-readable Markdown storage. Built for developers and teams running agents like Codex, Claude, and Cursor, it autonomously organizes, links, and evolves stored preferences, decisions, and learned skills so context and conventions follow you from one agent to the next. Its differentiator is a file-system-style, inspectable memory that is shared across agents/devices and designed to cut token costs for always-on agents rather than locking memory inside a single tool.

Screenshots

MemU screenshot 1

Commonly Cited Strengths & Limitations

Strengths

  • Cross-agent, cross-device shared memory
  • Inspectable, human-readable Markdown records with source links
  • Open source and free to start
  • Claims high retrieval accuracy with reduced token cost for always-on agents

Limitations

  • Frequent LLM invocations across its pipeline can drive higher time overhead and cost than some competing memory systems
  • Infrastructure requirements (PostgreSQL with pgvector plus a continuously running agent) make it not a drop-in solution for simple chat apps
  • Embedding-based retrieval can break down when semantic relevance does not equal correctness
  • Too few independent reviews (e.g., on G2) to offer strong buying insight

Common Use Cases

  • Personal assistants
  • Knowledge work
  • Support continuity
  • Learning workflows
  • Creative workflows
  • Coding across agents

Details

Pricing Model
Free
Team Size
Developers, Enterprise

Who is MemU for?

Developers

A coding convention learned in Codex stays available when the next task starts in Cursor, Claude, or another connected agent.

Knowledge workers

Keep research context and source-linked decisions available when work moves to another agent.

Support teams

Reuse customer context and durable support playbooks without replaying every prior conversation.

Enterprises

Work with design partners to customize memory, deploy on the right infrastructure, and connect the agents their teams already use.

Frequently Asked Questions

Is MemU free?

Yes, MemU is free to use.

Does MemU have an API?

Yes, MemU provides an API for developers.

Is MemU open source?

Yes, MemU is open source.

What does MemU integrate with?

MemU integrates with Codex, Claude, Cursor, OpenClaw, Hermes, WorkBuddy.

Is MemU cloud-based or self-hosted?

MemU is offered as both cloud and self-hosted (hybrid) deployment.

What are the downsides of MemU?

Frequent LLM invocations across its pipeline can drive higher time overhead and cost than some competing memory systems Also, Infrastructure requirements (PostgreSQL with pgvector plus a continuously running agent) make it not a drop-in solution for simple chat apps

Who is MemU best for?

MemU is best suited for Developers, Knowledge workers, Support teams.

What can I use MemU for?

Common uses for MemU include personal assistants, knowledge work, support continuity, learning workflows.

How does MemU compare to Keepi?

MemU and Keepi are both used for developer tools -- specifically knowledge management tools. See the full side-by-side comparison for pricing and feature differences.

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