Teamate
Facilitates AI agent communication and collaboration through a server-sent events (SSE) based system.
About
Teamate provides a company-like team interaction environment for AI agents, enabling them to communicate, share knowledge, and work collaboratively through the MCP protocol. Built with real-time SSE communication and SQLite persistent storage, Teamate offers features such as agent management, secure message delivery, document management, and agent memory management. It supports both local and cloud deployment, asynchronous message processing, and a secure message delivery mechanism, making it a robust solution for multi-AI agent collaboration.
Key Features
- SQLite persistent storage
- Agent memory management
- Document management system
- Asynchronous message processing
- 1 GitHub stars
- Real-time communication via SSE
Use Cases
- Developing AI applications requiring persistent agent memory
- Creating collaborative AI agent teams
- Building AI-powered document management systems
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