{"id":29604768,"url":"https://github.com/usemanusai/free-deep-research","last_synced_at":"2026-03-09T04:07:55.196Z","repository":{"id":304358371,"uuid":"1018561189","full_name":"usemanusai/free-deep-research","owner":"usemanusai","description":"A revolutionary, multi-component research automation platform that combines advanced AI agent orchestration, cross-platform desktop applications, containerized deployments, and enterprise-grade intelligence capabilities. 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Features complete BMAD AI Agent integration, distributed computing, real-time collaboration, and autonomous research capabilities—all while maintaining zero operational costs through intelligent free-tier optimization.\n\n## 🚀 Quick Start\n\n### Prerequisites\n- Node.js 20+ \n- Rust 1.75+\n- Docker \u0026 Docker Compose\n\n### Installation\n```bash\ngit clone https://github.com/usemanusai/free-deep-research.git\ncd free-deep-research\n./infrastructure/scripts/setup.sh\n```\n\n### Development\n```bash\n# Desktop application\ncd apps/desktop\nnpm run dev\n\n# Web application  \ncd apps/web\nnpm run dev\n\n# Full system with Docker\ndocker-compose -f infrastructure/docker-compose.dev.yml up\n```\n\n## 📁 Repository Structure\n\n```\nfree-deep-research/\n├── apps/                           # Applications\n│   ├── desktop/                    # Tauri desktop application\n│   └── web/                        # React web application\n├── packages/                       # Shared packages\n│   ├── ai-orchestrator/            # AI orchestration system\n│   └── bmad-core/                  # BMAD agent configurations\n├── docs/                           # Documentation\n│   ├── api/                        # API documentation\n│   ├── architecture/               # Architecture documentation\n│   ├── deployment/                 # Deployment guides\n│   ├── development/                # Development guides\n│   ├── reports/                    # Analysis reports\n│   └── user-guides/                # User documentation\n├── infrastructure/                 # Infrastructure \u0026 deployment\n│   ├── docker/                     # Docker configurations\n│   ├── scripts/                    # Build and deployment scripts\n│   ├── docker-compose.dev.yml      # Development environment\n│   ├── docker-compose.prod.yml     # Production environment\n│   └── docker-compose.yml          # Default configuration\n└── tools/                          # Development tools\n```\n\n## 🔧 Features\n\n- **AI-Powered Research**: Advanced research capabilities with multiple AI providers\n- **Desktop Application**: Cross-platform desktop app built with Tauri (React + Rust)\n- **Web Interface**: Modern React-based web interface\n- **AI Agent Orchestration**: BMAD methodology for AI agent coordination\n- **API Management**: Comprehensive API key and service management\n- **Real-time Analytics**: Performance monitoring and analytics\n- **Enterprise Security**: Advanced security features and compliance\n\n## 🏗️ Applications\n\n### Desktop Application (`apps/desktop/`)\nTauri-based desktop application with React frontend and Rust backend.\n- Cross-platform support (Windows, macOS, Linux)\n- Native performance with web technologies\n- Advanced research capabilities\n- Offline functionality\n\n### Web Application (`apps/web/`)\nReact-based web application for browser access.\n- Modern responsive design\n- Real-time collaboration features\n- Progressive Web App (PWA) capabilities\n\n## 📦 Packages\n\n### AI Orchestrator (`packages/ai-orchestrator/`)\nCore AI orchestration system with agent coordination capabilities.\n\n### BMAD Core (`packages/bmad-core/`)\nBMAD methodology implementation with agent personas, tasks, and templates.\n\n## 📚 Documentation\n\n### 📖 User Documentation\n- **[Complete User Guide](docs/user-guides/COMPLETE_USER_GUIDE_2025.md)** - Comprehensive user documentation\n- **[Desktop App Setup](apps/desktop/SETUP_GUIDE.md)** - Desktop application setup guide\n\n### 🔌 API Documentation\n- **[API Overview](docs/api/README.md)** - Complete API reference and examples\n- **[Authentication API](docs/api/authentication.md)** - API key management and security\n- **[Research Workflow API](docs/api/research-workflow.md)** - Research execution and management\n- **[BMAD Integration API](docs/api/bmad-integration.md)** - AI agent orchestration\n- **[Analytics API](docs/api/analytics.md)** - Business intelligence and insights\n- **[Monitoring API](docs/api/monitoring.md)** - System health and performance\n- **[Configuration API](docs/api/configuration.md)** - System and user settings\n\n### 🏗️ Architecture Documentation\n- **[Architecture Overview](docs/architecture/README.md)** - High-level architecture and design\n- **[System Overview](docs/architecture/system-overview.md)** - Detailed system components\n\n### 🛠️ Development \u0026 Deployment\n- **[Development Guide](docs/development/)** - Development setup and guidelines\n- **[Docker Deployment](docs/deployment/DOCKER-IMPLEMENTATION-SUMMARY.md)** - Docker deployment guide\n- **[Reports \u0026 Analysis](docs/reports/)** - Technical reports and system analysis\n\n## 🚀 Deployment\n\n### Docker Deployment\n```bash\n# Development\ndocker-compose -f infrastructure/docker-compose.dev.yml up\n\n# Production\ndocker-compose -f infrastructure/docker-compose.prod.yml up -d\n```\n\n### Manual Deployment\n```bash\n# Build desktop app\ncd apps/desktop\nnpm run build\n\n# Build web app\ncd apps/web\nnpm run build\n```\n\n## 🤝 Contributing\n\nPlease read our [Contributing Guidelines](apps/desktop/CONTRIBUTING.md) before submitting pull requests.\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\n## 🌟 Latest Updates - Version 3.0.0 \"Global Intelligence Network\"\n\n**🌐 NEW: Global Intelligence Network Features**\n- ✅ **Federated Research System**: Secure cross-organization research collaboration\n- ✅ **AI Research Marketplace**: Community platform for sharing AI agents and methodologies\n- ✅ **Quantum-Ready Architecture**: Post-quantum cryptography and quantum computing integration\n- ✅ **Advanced NLP Engine**: Natural language processing for research automation\n- ✅ **Blockchain Integration**: Decentralized research validation and peer review\n- ✅ **Global Knowledge Graph**: Interconnected knowledge representation and discovery\n\n**🤖 BMAD AI Agent Integration Complete (v2.1.0)**\n- ✅ **Research-Powered AI Agents**: Product Manager, Technical Architect, Platform Engineer\n- ✅ **Multi-Agent Workflow Coordination**: Collaborative research with validation\n- ✅ **Evidence-Based Documentation**: PRD, Architecture, and Implementation documents\n- ✅ **Professional Quality Standards**: Enterprise-grade communication\n- ✅ **Cost-Optimized Research**: $12-25 per session with 5:1 ROI\n- ✅ **Real-Time Research Monitoring**: Live progress tracking and optimization\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fusemanusai%2Ffree-deep-research","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fusemanusai%2Ffree-deep-research","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fusemanusai%2Ffree-deep-research/lists"}