AgentTeams is a collaborative multi-agent runtime platform that orchestrates multiple AI agents within a controlled, auditable environment with human visibility and intervention capabilities.
The tool addresses the challenge of coordinating multiple agents in enterprise settings by implementing a Manager-Workers architecture where a central Manager orchestrates multiple Worker agents rather than requiring humans to oversee each agent individually. Communication and task coordination happen transparently within Matrix rooms, allowing humans to observe and intervene in agent interactions. The platform integrates a shared file system via MinIO to reduce token consumption when agents exchange information, and uses a Higress AI Gateway to centralize traffic management and handle credential security.
AgentTeams suits organizations that need transparent, auditable multi-agent collaboration rather than autonomous agent systems. It works with multiple agent runtimes including OpenClaw, QwenPaw, Hermes, and DeepSeek Harness, allowing teams to select the runtime best suited to each role while maintaining visibility across all interactions in a single Matrix room. The tool is designed for enterprise environments where human-in-the-loop oversight and compliance are requirements, not optional features.
Development activity shows consistent engagement with the codebase through regular commits and active issue management. The project maintains documentation in multiple languages and provides community channels for user support and collaboration.
