Initial commit: WHOOSH Autonomous AI Development Teams Architecture

Complete transformation from project template tool to sophisticated autonomous AI development teams orchestration platform. Features: - 🧠 LLM-powered Team Composer for intelligent team formation - 🤖 CHORUS agent self-organization and autonomous applications - 🔗 P2P collaboration with UCXL addressing and HMMM reasoning - 🗳️ Democratic consensus mechanisms with quality gates - 📦 SLURP integration for knowledge preservation and artifact submission Architecture Documentation: - Complete 24-week development roadmap - Comprehensive database schema with performance optimization - Full API specification with REST endpoints and WebSocket events - Detailed Team Composer specification with LLM integration - CHORUS integration specification for agent coordination This represents a major architectural evolution enabling truly autonomous AI development teams with democratic collaboration and institutional quality compliance. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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+# WHOOSH - Autonomous AI Development Teams
+
+**Orchestration platform for self-organizing AI development teams with democratic consensus and P2P collaboration.**
+
+## 🎯 Overview
+
+WHOOSH has evolved from a simple project template tool into a sophisticated **Autonomous AI Development Teams Architecture** that enables AI agents to form optimal development teams, collaborate through P2P channels, and deliver high-quality solutions through democratic consensus processes.
+
+## 🏗️ Architecture
+
+### Core Components
+
+- **🧠 Team Composer**: LLM-powered task analysis and optimal team formation
+- **🤖 Agent Self-Organization**: CHORUS agents autonomously discover and apply to teams
+- **🔗 P2P Collaboration**: UCXL addressing with structured reasoning (HMMM) 
+- **🗳️ Democratic Consensus**: Voting systems with quality gates and institutional compliance
+- **📦 Knowledge Preservation**: Complete context capture for SLURP with provenance tracking
+
+### Integration Ecosystem
+
+```
+WHOOSH Team Composer → GITEA Team Issues → CHORUS Agent Discovery → P2P Team Channels → SLURP Artifact Submission
+```
+
+## 📋 Development Status
+
+**Current Phase**: Foundation & Planning
+- ✅ Comprehensive architecture specifications
+- ✅ Database schema design 
+- ✅ API specification
+- ✅ Team Composer design
+- ✅ CHORUS integration specification
+- 🚧 Implementation in progress
+
+## 🚀 Quick Start
+
+### Prerequisites
+
+- Python 3.11+
+- PostgreSQL 15+
+- Redis 7+
+- Docker & Docker Compose
+- Access to Ollama models or cloud LLM APIs
+
+### Development Setup
+
+```bash
+# Clone repository
+git clone https://gitea.chorus.services/tony/WHOOSH.git
+cd WHOOSH
+
+# Setup Python environment
+uv venv
+source .venv/bin/activate
+uv pip install -r requirements.txt
+
+# Setup database
+docker-compose up -d postgres redis
+python scripts/setup_database.py
+
+# Run development server
+python -m whoosh.main
+```
+
+## 📚 Documentation
+
+### Architecture & Design
+- [📋 Development Plan](docs/DEVELOPMENT_PLAN.md) - Complete 24-week roadmap
+- [🗄️ Database Schema](docs/DATABASE_SCHEMA.md) - Comprehensive data architecture
+- [🌐 API Specification](docs/API_SPECIFICATION.md) - Complete REST & WebSocket APIs
+
+### Core Systems
+- [🧠 Team Composer](docs/TEAM_COMPOSER_SPEC.md) - LLM-powered team formation engine
+- [🤖 CHORUS Integration](docs/CHORUS_INTEGRATION_SPEC.md) - Agent self-organization & P2P collaboration
+- [📖 Original Vision](docs/Modules/WHOOSH.md) - Autonomous AI development teams concept
+
+## 🔧 Key Features
+
+### Team Formation
+- **Intelligent Analysis**: LLM-powered task complexity and skill requirement analysis
+- **Optimal Composition**: Dynamic team sizing with role-based agent matching
+- **Risk Assessment**: Comprehensive project risk evaluation and mitigation
+- **Timeline Planning**: Automated formation scheduling with contingencies
+
+### Agent Coordination  
+- **Self-Assessment**: Agents evaluate their own capabilities and availability
+- **Opportunity Discovery**: Automated scanning of team formation opportunities
+- **Autonomous Applications**: Intelligent team application with value propositions
+- **Performance Tracking**: Continuous learning from team outcomes
+
+### Collaboration Systems
+- **P2P Channels**: UCXL-addressed team communication channels
+- **HMMM Reasoning**: Structured thought processes with evidence and consensus
+- **Democratic Voting**: Multiple consensus mechanisms (majority, supermajority, unanimous)
+- **Quality Gates**: Institutional compliance with provenance and security validation
+
+### Knowledge Management
+- **Context Preservation**: Complete capture of team processes and decisions
+- **SLURP Integration**: Automated artifact bundling and submission
+- **Decision Rationale**: Comprehensive reasoning chains and consensus records
+- **Learning Loop**: Continuous improvement from team performance feedback
+
+## 🛠️ Technology Stack
+
+### Backend
+- **Language**: Python 3.11+ with FastAPI
+- **Database**: PostgreSQL 15+ with async support
+- **Cache**: Redis 7+ for sessions and real-time data
+- **LLM Integration**: Ollama + Cloud APIs (OpenAI, Anthropic)
+- **P2P**: libp2p for peer-to-peer networking
+
+### Frontend
+- **Framework**: React 18 with TypeScript
+- **State**: Zustand for complex state management
+- **UI**: Tailwind CSS with Headless UI components
+- **Real-time**: WebSocket with auto-reconnect
+- **Charts**: D3.js for advanced visualizations
+
+### Infrastructure
+- **Containers**: Docker with multi-stage builds
+- **Orchestration**: Docker Swarm (cluster deployment)
+- **Proxy**: Traefik with SSL termination
+- **Monitoring**: Prometheus + Grafana
+- **CI/CD**: GITEA Actions with automated testing
+
+## 🎯 Roadmap
+
+### Phase 1: Foundation (Weeks 1-4)
+- Core infrastructure and Team Composer service
+- Database schema implementation
+- Basic API endpoints and WebSocket infrastructure
+
+### Phase 2: CHORUS Integration (Weeks 5-8)
+- Agent self-organization capabilities
+- GITEA team issue integration
+- P2P communication infrastructure
+
+### Phase 3: Collaboration Systems (Weeks 9-12)
+- Democratic consensus mechanisms
+- HMMM reasoning integration
+- Team lifecycle management
+
+### Phase 4: SLURP Integration (Weeks 13-16)
+- Artifact packaging and submission
+- Knowledge preservation systems
+- Quality validation pipelines
+
+### Phase 5: Frontend & UX (Weeks 17-20)
+- Complete user interface
+- Real-time dashboards
+- Administrative controls
+
+### Phase 6: Advanced Features (Weeks 21-24)
+- Machine learning optimization
+- Cloud LLM integration
+- Advanced analytics and reporting
+
+## 🤝 Contributing
+
+1. Fork the repository on GITEA
+2. Create a feature branch (`git checkout -b feature/amazing-feature`)
+3. Commit your changes (`git commit -m 'Add amazing feature'`)
+4. Push to the branch (`git push origin feature/amazing-feature`)
+5. Open a Pull Request
+
+## 📄 License
+
+This project is part of the CHORUS ecosystem and follows the same licensing terms.
+
+## 🔗 Related Projects
+
+- **[CHORUS](https://gitea.chorus.services/tony/CHORUS)** - Distributed AI agent coordination
+- **[KACHING](https://gitea.chorus.services/tony/KACHING)** - License management and billing
+- **[SLURP](https://gitea.chorus.services/tony/SLURP)** - Knowledge artifact management
+- **[BZZZ](https://gitea.chorus.services/tony/BZZZ)** - Original task coordination (legacy)
+
+---
+
+**WHOOSH** - *Where AI agents become autonomous development teams* 🚀