https://github.com/gtrusler/claude-code-heavy
Multi-agent research orchestration using Claude Code. Inspired by make-it-heavy.
https://github.com/gtrusler/claude-code-heavy
Last synced: 3 months ago
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Multi-agent research orchestration using Claude Code. Inspired by make-it-heavy.
- Host: GitHub
- URL: https://github.com/gtrusler/claude-code-heavy
- Owner: gtrusler
- License: other
- Created: 2025-07-18T16:47:14.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-18T20:10:31.000Z (3 months ago)
- Last Synced: 2025-07-18T21:48:43.589Z (3 months ago)
- Language: Shell
- Size: 148 KB
- Stars: 4
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-claude-code - **claude-code-heavy** - agent research orchestration using Claude Code. (Agents & Agent Managers)
README
# Claude Code Heavy
A powerful multi-agent research system using Claude Code to deliver comprehensive, multi-perspective analysis through intelligent orchestration. Inspired by Grok's heavy mode and make-it-heavy.
## 🚀 What is Claude Code Heavy?
Claude Code Heavy gives Claude full control to orchestrate parallel research:
- 🧠 **Intelligent Planning**: Claude analyzes your query and creates the optimal research strategy
- 🔀 **Parallel Research**: Claude decides how many agents to deploy (2-8 available)
- 🎯 **Dynamic Adaptation**: Questions and roles are tailored to your specific query
- 🔄 **Smart Synthesis**: Claude combines all findings into unified insights
- 🚙 **Interactive Mode**: Simple setup with powerful results
## 🎯 Quick Start
```bash
# Clone the repo
git clone https://github.com/yourusername/claude-code-heavy
cd claude-code-heavy
# Make script executable
chmod +x ccheavy.sh
# Run interactively (recommended)
./ccheavy.sh
# Or run with command line args
./ccheavy.sh "How do we solve the global water supply issue?"
```
## 🤔 Why This Approach?
**Claude is the Intelligence**: Instead of hard-coding research patterns, we let Claude:
- Analyze your query and determine the best approach
- Decide how many research assistants are needed
- Create specific, targeted research questions
- Adapt the research strategy in real-time
**Pre-built Infrastructure**: The script simply:
- Creates 8 research workspaces (worktrees)
- Sets up output directories
- Launches Claude with full orchestration control
## 📖 How It Works
```mermaid
graph TD
A[Run ./ccheavy.sh] --> B[Setup Workspaces]
B --> C[Claude Analyzes Query]
C --> D[Creates Research Plan]
D --> E[Decides Assistant Count]
E --> F[Generates Questions]
F --> G[Parallel Research Phase]
G --> H1[RA-1 Research]
G --> H2[RA-2 Research]
G --> H3[RA-3 Research]
G --> H4[... RA-N Research]
H1 --> I[Synthesis]
H2 --> I
H3 --> I
H4 --> I
I --> J[Final Analysis]
```
### Process Flow
1. **You provide a query**: Any research question or topic
2. **Script prepares environment**: Creates 8 workspaces, output directories
3. **Claude takes over**:
- Analyzes complexity and scope
- Plans optimal research strategy
- Creates targeted questions
- Orchestrates parallel execution
- Synthesizes comprehensive results
## 🛠️ Installation
### Prerequisites
- Claude Code installed (`npm install -g @anthropic-ai/claude-code`)
- Claude Pro or Teams subscription (strongly recommended for best performance)
- Git with worktree support (git 2.7+)
- Unix-like environment (Mac/Linux/WSL)
### Setup
```bash
# Clone and setup
git clone https://github.com/gtrusler/claude-code-heavy
cd claude-code-heavy
./setup.sh
```
## 🎮 Usage
### Interactive Mode (Recommended)
```bash
./ccheavy.sh
# Follow the prompts:
# - Enter your research question
# - Choose output format (markdown/text)
# - Decide on dangerous mode (default: N)
# - Confirm to proceed (default: Y)
# - Optionally auto-launch Claude Code (default: Y)
```
### Command Line Mode
```bash
# Basic usage
./ccheavy.sh "What are the latest advances in quantum computing?"
# With text output
./ccheavy.sh "Explain Docker containers" text
# YOLO mode
./ccheavy.sh "Analyze my codebase" markdown --dangerous
```
### Output Structure
```
outputs/
└── 2025-07-18-solve-global-water-crisis/
├── orchestration-prompt.md # Initial prompt for Claude
├── research-plan.md # Claude's research strategy
├── assistants/
│ ├── ra-1-findings.md # Assistant 1's research
│ ├── ra-2-findings.md # Assistant 2's research
│ └── ... # Up to 8 assistants
└── final-analysis.md # Synthesized results
```
## 📋 Example Outputs
See the `examples/` directory for complete research outputs:
### 1. Austin's 5-Year Outlook
- **Query**: "What does the outlook for the next 5 years look like for Austin, TX?"
- **Assistants**: 6 (Claude's decision based on complexity)
- **Total Output**: ~11,500 words
- **Key Insights**: Economic growth, tech hub evolution, infrastructure challenges
### 2. AI's Impact on Healthcare
- **Query**: "How will AI impact healthcare?"
- **Assistants**: 5 (covering different healthcare domains)
- **Focus Areas**: Diagnostics, drug discovery, patient care, ethics, implementation
- **Comprehensive analysis** of transformation across the industry
Quick examples of queries Claude handles well:
- **Scientific**: "How do mRNA vaccines work?"
- **Business**: "Analyze the electric vehicle market"
- **Policy**: "Evaluate universal basic income proposals"
- **Technical**: "Compare Rust vs Go for systems programming"
- **Historical**: "What led to the fall of the Roman Empire?"
- **Local**: "What's the 5-year outlook for Austin, TX?"
## 🔧 Configuration
The script is intentionally minimal. Claude handles:
- Determining optimal assistant count
- Creating research questions
- Assigning roles and perspectives
- Adapting to query complexity
## 🚀 Advanced Features
### Security Options
- Option to use `--dangerously-skip-permissions` flag
- Default is secure mode (recommended)
- Only enable for trusted research tasks
### Parallel Execution
- Claude orchestrates parallel tool calls
- Multiple web searches execute simultaneously
- Faster research completion
### Smart Folder Naming
- Queries converted to readable folder names automatically
- Date prefixing for easy chronological sorting
- Example: "How will AI impact health care?" → `2025-07-18-how-will-ai-impact-health-care`
## 🏗️ Architecture
### Why Git Worktrees?
- Each assistant gets isolated workspace
- Parallel execution without conflicts
- Easy context switching for Claude
- Git tracks all research history
### Why Let Claude Decide?
- Every query is unique
- Claude understands context better
- Dynamic adaptation beats static patterns
- Optimal resource allocation
## 🐛 Troubleshooting
### "Command not found: claude"
Make sure Claude Code is installed: `npm install -g @anthropic-ai/claude-code`
### "Git worktree error"
```bash
# Update git
brew upgrade git # Mac
sudo apt-get update && sudo apt-get upgrade git # Linux
```
### Research seems slow
- Normal research takes 5-10 minutes
- Complex queries may take up to 15-20 minutes
- Check if web searches are working
## 🤝 Contributing
1. Fork the repository
2. Create your feature branch
3. Test with various query types
4. Submit a pull request
## 📄 License
MIT License with Commercial Attribution Requirement
**For products with 100K+ users**: Please include attribution to Graydon Trusler and mention the "Claude Code Heavy" framework in your documentation or credits.
See [LICENSE](LICENSE) file for full details.
## 🙏 Acknowledgments
- Inspired by [make-it-heavy](https://github.com/Doriandarko/make-it-heavy) by Pietro Schirano
- Inspired by Grok Heavy mode
- Built on Claude Code by Anthropic