The coordination layer for AI agent networks, providing persistent memory, task management, inter-agent messaging, and human oversight through native MCP tools.
Enables AI agents to share knowledge, coordinate tasks, and maintain persistent memory across distributed infrastructure with secure vaults and 130+ MCP tools.
Enables multiple AI models to collaborate under a shared goal, architecture, plan, loops, sandbox, and acceptance criteria via a local-first MCP server.
MCP server for permissioned, structured agent-to-agent communications, enabling agents to coordinate and negotiate through scoped, typed messages with authentication and audit logging.
Enables multi-agent communication workflows with consensus arbitration, peer messaging, and operator-mediated collaboration through authenticated MCP tools.
A local-first mission control for AI agent harnesses, providing a unified MCP gateway for shared memory, task queue, and encrypted secrets across multiple agents.