memU
ActiveDescription
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
Categories
Quick Start
pip install memu-py && python -c "import memu; print('ready')"