Multi-agent orchestration for Claude Code. Run teams of AI agents in parallel — each with a role, shared context, and coordinated workflows. Zero learning curve.
GitHub: Yeachan-Heo/oh-my-claudecode
Overview
oh-my-claudecode (OMC) lets you run teams of Claude Code agents in parallel, each with assigned roles. It manages a staged pipeline (plan → PRD → execute → verify → fix) and supports mixing providers (Claude, Codex, Gemini). Agents share context through the filesystem and git branches, with automatic conflict resolution.
Instructions
Installation
Via Claude Code Plugin Marketplace (recommended):
/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode
/plugin install oh-my-claudecode
Via npm:
npm i -g oh-my-claude-sisyphus@latest
Initial Setup
Run inside Claude Code:
/setup
/omc-setup
Enable experimental teams in ~/.claude/settings.json:
{
"env": {
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
}
}
Team Pipeline
Team mode runs a staged pipeline for every task:
team-plan → team-prd → team-exec → team-verify → team-fix (loop)
- Plan — break down the task into sub-tasks and dependencies
- PRD — generate a product requirements document
- Execute — spawn N agents working in parallel
- Verify — validate output against requirements
- Fix — loop back to fix issues until tests pass
Agent Roles
| Role | Focus | Example Tasks |
|---|---|---|
executor | General coding | Feature implementation, refactoring |
reviewer | Code review | PR reviews, architecture feedback |
tester | Quality assurance | Test writing, coverage analysis |
architect | System design | API design, database schema |
Context Sharing
Agents in a team share context through:
- Shared filesystem — all agents see the same project files
- Team state file —
.omc/team-state.jsontracks progress - Git branches — each agent works on a feature branch, merged at verify stage
Configuration
~/.omc/config.json:
{
"defaultTeamSize": 3,
"defaultRole": "executor",
"providers": {
"claude": { "enabled": true },
"codex": { "enabled": true, "model": "codex-latest" },
"gemini": { "enabled": true, "model": "gemini-2.5-pro" }
},
"pipeline": {
"skipPRD": false,
"autoFix": true,
"maxFixLoops": 3
}
}
Requires codex / gemini CLIs installed and an active tmux session for multi-provider workers (v4.4.0+).
Examples
Example 1: Team Execution with Mixed Roles
# Spawn 3 executor agents to fix all TypeScript errors
/team 3:executor "fix all TypeScript errors"
# Use Codex agents for code review
omc team 2:codex "review auth module for security issues"
# Gemini agents for UI work
omc team 2:gemini "redesign UI components for accessibility"
Example 2: Autopilot and Deep Interview
# Let OMC handle everything — from planning to execution
autopilot: build a REST API for managing tasks
# When requirements are vague, use Socratic questioning first
/deep-interview "I want to build a task management app"
# The interview clarifies requirements before any code is written
Example 3: Tri-Model Advisor
Route work to Codex + Gemini, then Claude synthesizes the results:
/ccg Review this PR — architecture (Codex) and UI components (Gemini)
Guidelines
- Start with
autopilot:for well-defined tasks - Use
/deep-interviewwhen requirements are fuzzy - Mix providers: Codex for review, Gemini for UI, Claude for logic
- Keep team size at 5 or fewer for most tasks — diminishing returns beyond that
- Use
omc team status <task-id>to monitor long-running teams - The verify-fix loop catches most issues automatically
- When multiple agents modify the same file, OMC detects conflicts at merge time and spawns a resolver agent