The coordination layer for AI agent networks, providing persistent memory, task management, inter-agent messaging, and human oversight through native MCP tools.
A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.
Enables AI agents to share knowledge, coordinate tasks, and maintain persistent memory across distributed infrastructure with secure vaults and 130+ MCP tools.
Governed shared memory platform for AI agents and agent fleets. Provides persistent memory, cross-agent knowledge sharing, permissions, audit trails, and multi-tenant isolation through a Model Context Protocol (MCP) server.
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.
Shared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.