Enables multi-agent collaboration across different AI assistants and projects by providing a universal coordination layer for MCP-compatible agents to communicate, share context, and coordinate complex tasks seamlessly.
A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.
Enables AI agents to use email, instant messaging, and cloud file storage via MCP tools, giving each agent a verified identity with its own email address, real-time chat, and file sharing capabilities.
MCP server for multi-agent collaboration enabling AI agents to communicate, delegate tasks, and share artifacts across clients and machines with federation support.
Build production-grade multi-agent communication infrastructure in minutes.
Real-time messaging, task scheduling, shared memory, and trust-based evolution — all via MCP + SSE.