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memU

NevaMind-AI/memU

Personal memory for agents with fast retrieval and self-evolving skills

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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14k stars1.1k forksLast push Sep 14, 2026 Python Other

Decision brief

memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs.

Good fit when

Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention.
Integrate memU if cost reduction on maintenance and operation of AI agents is a priority without sacrificing performance or adaptability.

Avoid when

Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU.
memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features.

Observed Jul 16, 2026 · Source: enrich:decision_facts

memU alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (5d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No MCP manifest; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install memU

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

memU provides fast memory retrieval capabilities for AI agents alongside features like self-evolving skills to reduce operational costs.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Works with CursorCursor

Source: README excerpt (regex_v1, Sep 20, 2026)

memU works with Codex, Claude Code, Cursor, OpenClaw, Hermes, WorkBuddy, Cola, pi, and more. See [Host adapters](#host-ada

Source link

README

Quick start memU works with Codex, Claude Code, Cursor, OpenClaw, Hermes, WorkBuddy, Cola, pi, and more. See Host adapters. Cross device · Free · Unlimited · View online Get your API key from memu.so, then send this message to your agent: Read https://memu.pro/SKILL.md, follow it...

For agents

This page has a .md twin and JSON over the API.

/tools/nevamind-ai-memu.md GET /api/graphcanon/tools/nevamind-ai-memu GET /api/graphcanon/graph?tool=nevamind-ai-memu