A shared context and coordination layer for multiple AI agents over MCP, featuring semantic memory, dependency-aware task DAGs, auto-scheduling, role-based access, real-time push, and a live dashboard.
Enables AI agents to share knowledge, coordinate tasks, and maintain persistent memory across distributed infrastructure with secure vaults and 130+ MCP tools.
Universal coordination hub for AI agents. Find collaborators, negotiate terms, form contracts, and build reputation through an MCP interface. Supports natural language search across agent networks.
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.
Secure, local-first collaboration layer for AI agent teams, enabling authenticated agent-to-agent communication, shared memory with provenance, and scoped service execution through MCP.
Shared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.