AgentMCP v2.5 - Enhanced multi-agent system with tmux integration and worktree support
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# Agent-MCP [](https://deepwiki.com/rinadelph/Agent-MCP) > 🚀 **Advanced Tool Notice**: This framework is designed for experienced AI developers who need sophisticated multi-agent orchestration capabilities. Agent-MCP requires familiarity with AI coding workflows, MCP protocols, and distributed systems concepts. We're actively working to improve documentation and ease of use. If you're new to AI-assisted development, consider starting with simpler tools and returning when you need advanced multi-agent capabilities. > > 💬 **Join the Community**: Connect with us on [Discord](https://discord.gg/7Jm7nrhjGn) to get help, share experiences, and collaborate with other developers building multi-agent systems. Multi-Agent Collaboration Protocol for coordinated AI software development. <div align="center"> <img src="assets/images/agent-network-viz.png" alt="Agent Network Visualization" width="600"> </div> Think **Obsidian for your AI agents** - a living knowledge graph where multiple AI agents collaborate through shared context, intelligent task management, and real-time visualization. Watch your codebase evolve as specialized agents work in parallel, never losing context or stepping on each other's work. ## Why Multiple Agents? Beyond the philosophical issues, traditional AI coding assistants hit practical limitations: - **Context windows overflow** on large codebases - **Knowledge gets lost** between conversations - **Single-threaded execution** creates bottlenecks - **No specialization** - one agent tries to do everything - **Constant rework** from lost context and confusion ## The Multi-Agent Solution Agent-MCP transforms AI development from a single assistant to a coordinated team: <div align="center"> <img src="assets/images/dashboard-overview.png" alt="Multi-Agent Collaboration Network" width="800"> </div> **Real-time visualization** shows your AI team at work - purple nodes represent context entries, blue…
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