memU

Active

GitHub Python NOASSERTION

Description

A memory system for 24/7 proactive agents with MCP protocol integration, providing long-term memory management, skill storage, and proactive reasoning capabilities for continuously running AI agents.

Key Features

24/7 proactive memory agent that continuously captures and understands user intent
File-system-like memory structure with folders, files, symlinks, and mount points for organized knowledge
Significantly reduces LLM token cost with smaller context windows (~1/10 of comparable usage)
MCP protocol integration for seamless connection with existing AI agent ecosystems
Cross-session memory persistence — remembers user goals, preferences, and context automatically
Proactive task execution: agent anticipates next steps and pre-fetches relevant context

Use Cases

💡 Building always-on AI assistants that remember user preferences across sessions

💡 Reducing token costs for long-running production agent systems

💡 Creating proactive agents that anticipate user needs without explicit commands

💡 Managing persistent knowledge graphs for enterprise AI deployments

Strengths & Limitations

✅ Strengths

• Actively maintained, recent updates
• High community interest (14.4k stars)
• Responsive to issues, low backlog

⚠️ Limitations

• No clear open-source license

Quick Start

pip install memu-py && python -c "import memu; print('ready')"

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