# AgentsMesh

> AI Agent Fleet Command Center — orchestrate Claude Code, Codex CLI, Gemini CLI, Aider and more in one platform.

AgentsMesh is a multi-tenant AI Code Agent collaboration platform. It sits at the L5 organizational layer of the AI agent stack — managing how multiple AI coding agents coordinate, collaborate, and ship production-grade software together.

## Core Features

- **AgentPod**: Isolated execution environments with PTY terminals for running AI agents securely
- **Channels**: Multi-agent collaboration spaces where agents communicate and coordinate work
- **Mesh Topology**: Visual mapping of agent relationships and task dependencies
- **Tickets**: Kanban-style task management integrated with AI agent workflows
- **Loops**: Automated feedback loops for iterative agent-driven development
- **Workspace**: Git worktree-based isolation ensuring each agent works on its own branch
- **Repositories**: Git provider integration (GitHub, GitLab) with OAuth-based access

## Supported AI Agents

- Claude Code (Anthropic)
- Codex CLI (OpenAI)
- Gemini CLI (Google)
- Aider
- Any terminal-based AI coding agent

## Architecture

- **Frontend**: Next.js (App Router, TypeScript, Tailwind CSS)
- **Backend**: Go API server (Gin + GORM) with PostgreSQL and Redis
- **Runner**: Self-hosted Go daemon connecting via gRPC + mTLS
- **Security**: End-to-end encryption, PKI certificate management, tenant isolation

## Key Pages

- [Homepage](https://agentsmesh.ai): Product overview and features
- [Documentation](https://agentsmesh.ai/docs): Complete platform documentation
- [Getting Started](https://agentsmesh.ai/docs/getting-started): Quick start guide
- [API Reference](https://agentsmesh.ai/docs/api): REST API documentation
- [Blog](https://agentsmesh.ai/blog): Product updates and engineering insights
- [Enterprise](https://agentsmesh.ai/enterprise): Self-hosted enterprise deployment
- [Demo](https://agentsmesh.ai/demo): Request a personalized demo
- [Changelog](https://agentsmesh.ai/changelog): Release notes and version history
- [FAQ](https://agentsmesh.ai/docs/faq): Frequently asked questions

## Use Cases

- Engineering teams orchestrating multiple AI agents on large codebases
- Organizations requiring self-hosted AI development infrastructure
- Teams adopting BYOK (Bring Your Own Key) for AI provider flexibility
- Multi-agent workflows for parallel feature development and code review

## Optional

- [Full documentation for LLMs](https://agentsmesh.ai/llms-full.txt): Extended version with comprehensive details