buildingopen

Moto — DevOps skill for Claude Code

DevOps community

Floom's terminal IDE for AI agents: Claude control plane, Codex workers, Docker runtime, hooks, skills, memory, and browser/Gmail workflows.

How to install Moto

This entry records only its repository, not the path inside it, so there is no exact command to give. Open buildingopen/claude-setup and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Moto does

Floom's terminal IDE for AI agents: Claude control plane, Codex workers, Docker runtime, hooks, skills, memory, and browser/Gmail workflows.

Alternatives in DevOps

  • Codeg — Aggregate and browse AI coding agent sessions (Claude Code, Codex, Gemini CLI, etc.) in one place 850 ★
  • Zhikuncode — Codex/Claude Code/Cursor的开源增强版,专注一句话实现复杂长程任务(教育、编程、办公、生活、娱乐、游戏) 473 ★
  • Ductor — Control Claude Code, Codex CLI and Gemini CLI from Telegram 310 ★

README

moto 🛵

A terminal IDE for AI agents, extracted from 500+ real sessions

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Claude Code](https://img.shields.io/badge/Claude_Code-compatible-blueviolet)](https://docs.anthropic.com/en/docs/claude-code)

`moto` is Floom's terminal IDE for AI agents: Claude as the control plane, Codex for backend/infra/debugging, opencode as an optional worker, subagent workflows, Docker-first runtime, CLAUDE.md / AGENTS.md-style context, safety hooks, 60+ skills, Gmail/WhatsApp integrations, memory, browser automation, and cost tracking.

Formerly buildingopen/moto. Old GitHub URLs redirect.

moto hook demo
A safety hook firing on a destructive command.


Who is this for?

  • Founders/operators turning repeated work into software with agents
  • Claude Code / Codex users who want a real operating environment instead of one-off prompts
  • Terminal-first builders running multiple agents on a Mac + remote Linux box
  • Teams standardizing agent rules, hooks, skills, memory, and remote runtime
  • Anyone burned by agents running destructive commands, leaking secrets, or claiming success without fresh evidence

What makes this different?

Most AI coding setups are a prompt file plus a pile of tools. `moto` is the full operating environment: context, hooks, skills, memory, terminal sessions, remote server runtime, browser automation, Docker sandboxes, and launcher commands for Claude, Codex, and opencode.

The philosophy is simple:

  • context before prompting
  • wireframes before UI code
  • Docker before SaaS integrations
  • subagents before monolithic chats
  • cheap models for mechanical checks
  • expensive models for judgment
  • complexity only after real usage earns it

Quick Start

git clone https://github.com/floomhq/moto.git
cd moto
./install.sh          # Symlinks configs into ~/