AgentsMesh
ActiveDescription
An AI Agent workforce platform that assigns every team member an AI agent squad for multi-agent collaboration, task orchestration, and compound skill building to scale team capacity beyond headcount.
Key Features
- AgentPod remote AI workstations with web terminal, Git worktree isolation, and real-time streaming
- Multi-agent collaboration through channels and pod bindings with real-time topology visualization
- Kanban-based task management with ticket-pod binding and MR/PR integration
- Self-hosted runners for keeping code on your own infrastructure with mTLS security
- Multi-agent support for Claude Code, Codex CLI, Gemini CLI, Aider, OpenCode, and custom agents
- Enterprise-ready with SSO, RBAC, audit logs, and air-gapped deployment support
Use Cases
💡 Scaling AI development teams by running multiple concurrent AI agent workstations
💡 Coordinating multi-agent workflows for complex software engineering tasks
💡 Enterprise teams needing isolated, auditable AI coding environments on self-hosted infrastructure
💡 Managing distributed AI agent fleets with centralized task tracking and progress monitoring
💡 Integrating AI agents into existing Git workflows with MR/PR automation
Categories
Quick Start
1. Install runner: curl -fsSL https://agentsmesh.ai/install.sh | sh
2. Login: agentsmesh-runner login (opens browser for auth)
3. Start runner: agentsmesh-runner run
4. Or use Docker one-command setup: git clone https://github.com/AgentsMesh/AgentsMesh.git && cd AgentsMesh/deploy/dev && ./dev.sh
5. Access web console at http://localhost:3000 and create an AgentPod