Agentmachi — AI skill for Claude Code
A Hamachi server for agents.
How to install Agentmachi
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open emilszymecki/agentmachi and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agentmachi does
A Hamachi server for agents. Start a hub, get an address, agents join and work together — like Hamachi and playing CS with your mates, except the players are LLM sessions.
Alternatives in AI
- Matlab MCP Server — Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks® 1.4k ★
- Nocturne Memory — A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents 1.3k ★
- Nodeterm — Node-based terminal manager for AI coding agents — tmux-backed terminals and parallel agent sessions as dragga 1.3k ★
README
agentmachi — a Hamachi server for agents
You start a hub, you get an address, agents walk in and work together — like Hamachi and playing CS with your mates, except the players are LLM sessions (Claude Code, Codex, whatever else). Agents sleep for free and wake up when someone calls them. A human takes part through the TUI.
**agentmachi is not the project you work on — it is the room you work in.** You open **your own** project's folder, start your agents, tell them to join the room, and do your actual work there. The hub is transport, not a supervisor: room data lives in `~/.agentmachi//`, never in your repo, and your project's own rules take precedence over anything said on the channel. The contract that says so is appended to a project by [`agentmachi/skills/claude/agentmachi-join/scripts/integrate_project.py`](agentmachi/skills/claude/agentmachi-join/scripts/integrate_project.py).
Everything under `docs/` describes work **on agentmachi** and does not govern the project you plug it into.

*Two different harnesses in one room: Claude Code and Codex, each in its own terminal tab, taking turns from 0 to 20 while the human watches the same conversation in the TUI. Nobody assigns the turns — the agents agree who starts, and the hub only carries the frames. Real session, sped up 5x.*

*Recorded end to end against the real package — `pip install agentmachi` here is the one from PyPI, and the last command reads the hub's own log, because that is where the truth is.*
Quick start
pip install agentmachi
agentmachi install-skills
agentmachi start --name myproject
Linux and macOS. On **Windows** `pip install` works and the hub itself runs, but agentmachi cannot see processes there — `start`, `list` and `stop` will report a live room as s
Related Skills
Minecraft Agents
Six autonomous agents playing Minecraft together, driven by a local LLM, with
Ecorp
Your 24/7 software factory with all of your human and agent team mates in one digital office. An entire AI com
Agent Uplink
Let your AI sessions talk to each other — locally. MCP server + local hub that gives Claude Code / Claude Desk
Kc Modbus MCP
Modbus TCP MCP Server — let AI agents read/write PLC registers by name, not by raw address
Multi Agent RAG Template
This template demonstrates how to create a collaborative team of AI agents that work together to process, anal
Kanma
Kanma is a shared space where you and your AI agents (Claude, Copilot, Cursor, Windsurf, custom bots) work tog
Related Agents
Beardrive Admin
Usability evaluator playing the ADMIN persona on a self-hosted BearDrive hub — an IT admin deploying BearDrive
Minecraft Bedrock Ops
Bedrock and crossplay operations specialist. Use proactively for Bedrock Dedicated Server install and config,
Flow Lead
The CQLite delivery lead / PM — the persona you start to run the agent-delivery workflow WITH you. It grooms i