Skillget

Multi-AI-Workflow

agent
SUMMARY

Multi-AI orchestration framework for Claude Code — coordinate Claude, Codex, and Gemini with 7 workflow modes, parallel execution, and session unification

README.md

Multi-AI Workflow (MAW)

Unleash the Power of AI Collaboration

TypeScript
Python
Node.js
License: MIT


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  | |  | / ___ \ \ V  V /
  |_|  |_/_/   \_\_\_/\_/

  Multi-AI Workflow Framework

Claude + Codex + Gemini = Unstoppable

Features | Installation | Quick Start | Workflow Modes | Usage in Claude Code

中文文档

What is MAW?

MAW (Multi-AI Workflow) is a revolutionary CLI framework that orchestrates multiple AI agents to work together seamlessly. Imagine having Claude's reasoning, Codex's code execution, and Gemini's multimodal capabilities all working in harmony on your projects.

┌──────────────────────────────────────────────────────────────┐
│                                                              │
│   [CLAUDE]           [CODEX]            [GEMINI]             │
│   Planning &         Code Execution     Multimodal           │
│   Reasoning          & Analysis         Analysis             │
│                                                              │
│         \                |               /                   │
│          \               |              /                    │
│           \              |             /                     │
│            v             v            v                      │
│         +-------------------------------+                    │
│         |       MAW ORCHESTRATOR        |                    │
│         |    Unified Session Control    |                    │
│         +-------------------------------+                    │
│                        |                                     │
│                        v                                     │
│              +-----------------+                             │
│              |    YOUR CODE    |                             │
│              +-----------------+                             │
│                                                              │
└──────────────────────────────────────────────────────────────┘

Features

Multi-AI Delegation

Delegate tasks to the right AI for the job. Claude plans, Codex executes, Gemini analyzes.

7 Workflow Modes

Level Description
Lite Instant execution, no planning
Lite-Plan Quick planning then execute
Plan Standard planning workflow
TDD-Plan Test-driven development
Brainstorm Multi-role ideation
Five-Phase Professional 5-phase collaboration
Ralph Loop Iterative AI loop until completion

Smart Routing

Auto-detect the best AI for your task based on content analysis.

Report Generation

Generate professional reports with auto-generated diagrams.

Real-time Dashboard

Visual workflow management with WebSocket live updates.

Unified Sessions

Single session ID syncs across all AI agents.

Installation

Prerequisites

Quick Install (Recommended)

# Clone and run the installer
git clone https://github.com/SexyERIC0723/Multi-AI-Workflow.git
cd Multi-AI-Workflow
./install.sh

# Restart terminal or source your shell config
source ~/.zshrc  # or ~/.bashrc

# Verify installation
maw --version

The installer will:

  • Install MAW CLI to ~/.maw/
  • Set up global maw command
  • Install Claude Code slash commands
  • Configure your PATH

Manual Installation

# 1. Clone the repository
git clone https://github.com/SexyERIC0723/Multi-AI-Workflow.git
cd Multi-AI-Workflow

# 2. Install Node.js dependencies
npm install

# 3. Build the project
npm run build

# 4. Install Python bridges
pip install -e bridges/

# 5. Copy to global directory
mkdir -p ~/.maw/bin
cp -r maw ~/.maw/

# 6. Create global command
echo '#!/bin/bash
node ~/.maw/maw/bin/maw.js "$@"' > ~/.maw/bin/maw
chmod +x ~/.maw/bin/maw

# 7. Add to PATH (add to ~/.zshrc or ~/.bashrc)
echo 'export PATH="$HOME/.maw/bin:$PATH"' >> ~/.zshrc

# 8. Install slash commands for Claude Code
mkdir -p ~/.claude/commands
cp claude-commands/*.md ~/.claude/commands/

# 9. Restart terminal and verify
maw --help

Installation Structure

After installation, your ~/.maw directory will look like:

~/.maw/
├── bin/
│   └── maw              # Global command
├── maw/                  # MAW CLI
│   ├── bin/maw.js
│   └── dist/
└── skills/               # Installed skills
    ├── collaborating-with-gemini/
    ├── collaborating-with-codex/
    └── report-generator/

Configure API Keys (Optional)

For Gemini with proxy API:

# Edit the bridge configuration
# File: ~/.maw/skills/collaborating-with-gemini/scripts/gemini_bridge.py
# Set your API key and base URL

Quick Start

# Smart routing - auto-selects best AI
maw run "Analyze this codebase structure"

# Run a simple workflow
maw workflow lite "Fix typos in README"

# Standard planning workflow
maw workflow plan "Implement user authentication"

# 5-phase professional workflow
maw workflow five-phase "Refactor the authentication module"

# Delegate to specific AI
maw delegate codex "Write unit tests" --cd .
maw delegate gemini "Analyze this architecture"

# Open the dashboard
maw view

Workflow Modes

1. Lite Mode - Instant Execution

User Task ────────► Direct Execute ────────► Result

Best for: Simple fixes, small changes, one-time tasks

maw workflow lite "Add comments to this function"
maw workflow lite "Format this file"
maw workflow lite "Change all console.log to logger.debug"

2. Lite-Plan Mode - Quick Planning

User Task ────► Quick Plan (1-2 steps) ────► Execute ────► Result

Best for: Medium complexity tasks, quick development

maw workflow lite-plan "Add error handling to API"
maw workflow lite-plan "Implement simple caching"

3. Plan Mode - Standard Planning (Default)

User Task
    │
    ▼
┌──────────┐
│  Plan    │  ← Analyze requirements, design solution
└────┬─────┘
     │
     ▼
┌──────────┐
│  Review  │  ← Check plan feasibility
└────┬─────┘
     │
     ▼
┌──────────┐
│ Execute  │  ← Implement step by step
└────┬─────┘
     │
     ▼
┌──────────┐
│  Verify  │  ← Confirm results
└────┬─────┘
     │
     ▼
  Result

Best for: Daily development, standard features

maw workflow plan "Implement user login"
maw workflow plan "Add database connection pool"
maw workflow plan "Refactor error handling"

4. TDD-Plan Mode - Test-Driven Development

User Task
    │
    ▼
┌────────────────┐
│ Write Tests    │  ← RED: Define expected behavior
│ (RED)          │
└───────┬────────┘
        │
        ▼
┌────────────────┐
│ Run Tests      │  ← Confirm tests fail
│ (Confirm Fail) │
└───────┬────────┘
        │
        ▼
┌────────────────┐
│ Implement      │  ← GREEN: Write minimal code to pass
│ (GREEN)        │
└───────┬────────┘
        │
        ▼
┌────────────────┐
│ Refactor       │  ← REFACTOR: Optimize with test safety
│ (REFACTOR)     │
└───────┬────────┘
        │
        ▼
  Done (with tests)

Best for: Core business logic, APIs, critical features

maw workflow tdd-plan "Implement order calculation"
maw workflow tdd-plan "Add user permission validation"
maw workflow tdd-plan "Implement payment interface"

5. Brainstorm Mode - Multi-Role Ideation

User Topic
    │
    ▼
┌─────────────────────────────────────────┐
│           Multi-Role Discussion          │
│                                         │
│  ┌──────────┐  ┌──────────┐  ┌────────┐ │
│  │ Architect│  │Developer │  │  QA    │ │
│  └────┬─────┘  └────┬─────┘  └───┬────┘ │
│       │             │            │      │
│       └──────────┬──┴────────────┘      │
│                  │                      │
│                  ▼                      │
│         Discussion & Debate             │
└─────────────────────────────────────────┘
                   │
                   ▼
          ┌──────────────┐
          │  Conclusion  │
          │ Best Solution│
          └──────────────┘

Best for: Architecture decisions, technical choices, complex analysis

maw workflow brainstorm "API design approach"
maw workflow brainstorm "Database selection"
maw workflow brainstorm "Performance optimization strategy"

Roles:

Role Focus
Architect Overall design, scalability, tech debt
Developer Implementation difficulty, efficiency, code quality
QA Testability, edge cases, potential issues

6. Five-Phase Mode - Professional Multi-AI Collaboration

User Task
    │
    ▼
┌─────────────────────────────────────────────────────────┐
│ Phase 1: CONTEXT                           [Claude]     │
│ - Analyze project structure                             │
│ - Understand existing code                              │
│ - Gather relevant information                           │
└─────────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────────┐
│ Phase 2: ANALYSIS                    [Codex + Gemini]   │
│                                                         │
│   ┌─────────────┐              ┌─────────────┐         │
│   │   Codex     │   Parallel   │   Gemini    │         │
│   │ Code-level  │◄────────────►│ Arch-level  │         │
│   │  Analysis   │              │  Analysis   │         │
│   └─────────────┘              └─────────────┘         │
└─────────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────────┐
│ Phase 3: PROTOTYPE                         [Claude]     │
│ - Synthesize analysis results                           │
│ - Design initial solution                               │
│ - Create code skeleton                                  │
└─────────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────────┐
│ Phase 4: IMPLEMENT                         [Claude]     │
│ - Complete code implementation                          │
│ - Handle edge cases                                     │
│ - Add error handling                                    │
└─────────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────────┐
│ Phase 5: AUDIT                   [Claude+Codex+Gemini]  │
│ - Code review                                           │
│ - Security check                                        │
│ - Final verification                                    │
└─────────────────────────────────────────────────────────┘
    │
    ▼
  Complete (High-quality, multi-AI verified)

Best for: Large features, system refactoring, critical modules

maw workflow five-phase "Implement complete payment system"
maw workflow five-phase "Refactor database access layer"
maw workflow five-phase "Implement OAuth2 authentication"

7. Ralph Loop Mode - Iterative AI Development

Ralph Loop is inspired by the "Ralph technique" - a continuous AI agent loop for iterative development until task completion.

                     ┌──────────────────────────────────────┐
                     │            RALPH LOOP                │
                     │   "Persistence Wins"                 │
                     └──────────────────────────────────────┘
                                      │
                                      ▼
┌─────────────────────────────────────────────────────────────────────┐
│                                                                     │
│    ┌──────────┐                                                     │
│    │  Prompt  │ ◄───────────────────────────────────┐               │
│    │ (Fixed)  │                                     │               │
│    └────┬─────┘                                     │               │
│         │                                           │               │
│         ▼                                           │               │
│    ┌──────────┐                                     │               │
│    │    AI    │  ← Claude/Codex/Gemini/Auto         │               │
│    │ Execute  │                                     │               │
│    └────┬─────┘                                     │               │
│         │                                           │               │
│         ▼                                           │               │
│    ┌──────────┐     No      ┌───────────────────┐  │               │
│    │ Complete?├────────────►│  Next Iteration   │──┘               │
│    │          │             │  (AI sees its     │                   │
│    └────┬─────┘             │   previous work)  │                   │
│         │ Yes               └───────────────────┘                   │
│         ▼                                                           │
│    ┌──────────┐                                                     │
│    │   Done   │  ← Completion Promise Found                         │
│    └──────────┘                                                     │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

Best for: Tasks with clear success criteria, iterative refinement, automated verification

# Basic usage
maw workflow ralph "Build a REST API for todos. Output <promise>COMPLETE</promise> when done."

# With options
maw workflow ralph "Implement user auth with tests" \
  --max-iterations 30 \
  --completion-promise "COMPLETE" \
  --ai auto \
  --verbose

Key Concepts:

Concept Description
Completion Promise A signal phrase that indicates task completion
Iteration Each loop cycle where AI sees its previous work
Persistence Keep trying until success (within max iterations)
Self-Correction AI learns from its own failures in previous iterations

When to Use:

  • ✅ Tasks with clear, testable success criteria
  • ✅ Tasks requiring iterative improvement
  • ✅ Tasks with automatic verification (tests, linters)
  • ❌ Tasks requiring human judgment
  • ❌ Tasks with unclear completion criteria

Mode Comparison

Mode Complexity Time AI Involved Use Case
Lite ⭐ Shortest Claude Simple fixes
Lite-Plan ⭐⭐ Short Claude Medium tasks
Plan ⭐⭐⭐ Medium Claude Daily development
TDD-Plan ⭐⭐⭐⭐ Longer Claude Test-covered features
Brainstorm ⭐⭐⭐ Medium Claude (multi-role) Design decisions
Five-Phase ⭐⭐⭐⭐⭐ Longest Claude+Codex+Gemini Complex, high-quality
Ralph Loop ⭐⭐⭐⭐ Variable Auto-selected Iterative tasks

How to Choose?

                    What's your task?
                          │
          ┌───────────────┼───────────────┐
          │               │               │
          ▼               ▼               ▼
     Simple fix?     Development?    Design decision?
          │               │               │
          ▼               │               ▼
        Lite             │          Brainstorm
                          │
               ┌──────────┴──────────┐
               │                     │
               ▼                     ▼
          Need tests?          Need multi-AI?
               │                     │
          ┌────┴────┐           ┌────┴────┐
          ▼         ▼           ▼         ▼
      TDD-Plan    Plan    Five-Phase   Plan

Usage in Claude Code

Slash Commands

MAW provides slash commands for Claude Code:

Command Description
/gemini <task> Delegate to Gemini
/codex <task> Delegate to Codex
/maw <command> Execute MAW command
/report <topic> Generate report with diagrams
/ralph-loop <prompt> Start iterative AI loop

Examples:

/gemini Analyze the performance of this code
/codex Write unit tests for the auth module
/maw workflow plan "Implement caching layer"
/ralph-loop "Build REST API with tests. Output COMPLETE when done."
/report "System Architecture Overview"

Natural Language

You can also use natural language with Claude:

You Say Claude Does
"Let Gemini analyze this..." Calls Gemini bridge
"Delegate to Codex..." Calls Codex bridge
"Use MAW to..." Starts MAW workflow
"Generate a report about..." Runs report generator

Examples:

"Let Gemini analyze this module's architecture"
"Delegate to Codex to write tests for this function"
"Use MAW five-phase workflow to refactor authentication"
"Generate a report about our API design with diagrams"

Multi-AI Collaboration Triggers

"Use multiple AIs to collaborate on..."
"Let Claude plan and Codex execute..."
"Start five-phase collaboration workflow..."

Report Generation

MAW can generate professional reports with auto-generated diagrams:

# Using slash command
/report "Machine Learning Pipeline Architecture"

# Using Python script directly
python ~/.maw/skills/report-generator/report_generator.py \
  --topic "System Design" \
  --content "Your research content..." \
  --output report.md

Features:

  • Auto-analyzes content structure
  • Identifies where diagrams would help
  • Generates Mermaid diagrams (or images when available)
  • Professional academic style output

Architecture

Multi-AI-Workflow/
│
├── maw/                       # TypeScript CLI Core
│   ├── src/
│   │   ├── cli.ts            # Main CLI entry
│   │   ├── commands/         # Command implementations
│   │   │   ├── delegate.ts   # AI delegation + semantic routing
│   │   │   ├── workflow.ts   # Workflow execution
│   │   │   └── session.ts    # Session management
│   │   └── core/             # Core modules
│   │       ├── workflow-engine.ts   # 6-level workflows
│   │       ├── session-manager.ts
│   │       └── skill-registry.ts
│   └── bin/maw.js            # CLI executable
│
├── bridges/                   # Python AI Bridges
│   └── src/maw_bridges/
│       ├── codex_bridge.py   # Codex CLI wrapper
│       └── gemini_bridge.py  # Gemini CLI/API wrapper
│
├── dashboard/                 # Web Dashboard
│   ├── src/
│   │   ├── server.ts         # Express + WebSocket
│   │   ├── storage.ts        # SQLite database
│   │   └── maw-bridge.ts     # CLI data integration
│   └── public/               # Frontend SPA
│
└── .maw/                      # Configuration & Skills
    ├── config.json
    └── skills/               # Installed skills

Configuration

MAW configuration is stored in .maw/config.json:

{
  "ai": {
    "claude": { "enabled": true },
    "codex": { "enabled": true, "cliPath": "codex" },
    "gemini": { "enabled": true, "cliPath": "gemini" }
  },
  "workflow": {
    "defaultLevel": "plan",
    "parallelExecution": true,
    "maxConcurrency": 2
  },
  "security": {
    "defaultSandbox": "read-only",
    "maxExecutionTime": 300000
  },
  "dashboard": {
    "port": 3000,
    "autoOpen": true
  }
}

Sandbox Levels

Level Description Use Case
read-only Cannot modify any files Code analysis, auditing
workspace-write Can modify project files Daily development
full-access Complete control System-level operations

Commands Reference

Workflow Commands

maw workflow lite <task>        # Instant execution
maw workflow lite-plan <task>   # Quick plan + execute
maw workflow plan <task>        # Standard planning
maw workflow tdd-plan <task>    # Test-driven development
maw workflow brainstorm <topic> # Multi-role ideation
maw workflow five-phase <task>  # 5-phase collaboration
maw workflow ralph <prompt>     # Iterative AI loop

# Ralph Loop options
maw workflow ralph "Build feature X" \
  --max-iterations 30 \
  --completion-promise "COMPLETE" \
  --ai auto \
  --verbose

Delegation Commands

maw delegate codex <task> --cd .    # Delegate to Codex
maw delegate gemini <task>          # Delegate to Gemini
maw run <task>                      # Smart routing

Session Commands

maw session list              # List all sessions
maw session new <name>        # Create new session
maw session resume <id>       # Resume session
maw session sync              # Sync across AIs

Other Commands

maw view                      # Open dashboard
maw skill list                # List installed skills
maw skill install <source>    # Install skill

Contributing

We welcome contributions! Please see our contributing guidelines.

# Fork the repository
git checkout -b feature/amazing-feature
git commit -m 'Add amazing feature'
git push origin feature/amazing-feature
# Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

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