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>
2025-09-03 23:39:37 +10:00
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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+.pytest_cache/
+*.egg-info/
+dist/
+build/
+
+# Node.js
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# IDEs
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Docker
+.docker/
+docker-compose.override.yml
+
+# Database
+*.db
+*.sqlite
+*.sqlite3
+
+# Logs
+logs/
+*.log
+
+# Environment variables
+.env
+.env.local
+.env.*.local
+
+# Cache
+.cache/
+.parcel-cache/
+
+# Testing
+coverage/
+.coverage
+.nyc_output
+
+# Temporary files
+tmp/
+temp/
+*.tmp
+
+# Build outputs
+dist/
+build/
+out/
+
+# Dependencies
+vendor/
+
+# Configuration
+config/local.yml
+config/production.yml
+secrets.yml
--- a/README.md
+++ b/README.md
@@ -0,0 +1,179 @@
+# 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* 🚀
--- a/docs/API_SPECIFICATION.md
+++ b/docs/API_SPECIFICATION.md
--- a/docs/CHORUS_INTEGRATION_SPEC.md
+++ b/docs/CHORUS_INTEGRATION_SPEC.md
--- a/docs/DATABASE_SCHEMA.md
+++ b/docs/DATABASE_SCHEMA.md
--- a/docs/DEVELOPMENT_PLAN.md
+++ b/docs/DEVELOPMENT_PLAN.md
@@ -0,0 +1,278 @@
+# WHOOSH Transformation Development Plan
+## Autonomous AI Development Teams Architecture
+
+### Overview
+
+This document outlines the comprehensive development plan for transforming WHOOSH from a simple project template tool into a sophisticated **Autonomous AI Development Teams Architecture** that orchestrates CHORUS agents into self-organizing development teams.
+
+## 🎯 Mission Statement
+
+**Enable autonomous AI agents to form optimal development teams, collaborate democratically through P2P channels, and deliver high-quality solutions through consensus-driven development processes.**
+
+## 📋 Development Phases
+
+### Phase 1: Foundation (Weeks 1-4)
+**Core Infrastructure & Team Composer**
+
+#### 1.1 Database Schema Redesign
+- [ ] Design team management tables
+- [ ] Agent capability tracking schema
+- [ ] Task analysis and team composition history
+- [ ] GITEA integration metadata storage
+
+#### 1.2 Team Composer Service
+- [ ] LLM-powered task analysis engine
+- [ ] Team composition logic and templates
+- [ ] Capability matching algorithms
+- [ ] GITEA issue creation automation
+
+#### 1.3 API Foundation
+- [ ] RESTful API for team management
+- [ ] WebSocket infrastructure for real-time updates
+- [ ] Authentication/authorization framework
+- [ ] Rate limiting and security measures
+
+#### 1.4 Development Environment
+- [ ] Docker containerization
+- [ ] Development/staging/production configurations
+- [ ] CI/CD pipeline setup
+- [ ] Testing framework integration
+
+### Phase 2: CHORUS Integration (Weeks 5-8)
+**Agent Self-Organization & P2P Communication**
+
+#### 2.1 CHORUS Agent Enhancement
+- [ ] Agent self-awareness capabilities
+- [ ] GITEA monitoring and parsing
+- [ ] Team application logic
+- [ ] Performance tracking integration
+
+#### 2.2 P2P Communication Infrastructure
+- [ ] UCXL addressing system
+- [ ] Team channel creation and management
+- [ ] Message routing and topic organization
+- [ ] Real-time collaboration tools
+
+#### 2.3 Agent Discovery & Registration
+- [ ] Ollama endpoint polling
+- [ ] Hardware capability detection
+- [ ] Model performance benchmarking
+- [ ] Agent health monitoring
+
+### Phase 3: Collaboration Systems (Weeks 9-12)
+**Democratic Decision Making & Team Coordination**
+
+#### 3.1 Consensus Mechanisms
+- [ ] Voting systems (majority, supermajority, unanimous)
+- [ ] Quality gates and completion criteria
+- [ ] Conflict resolution procedures
+- [ ] Democratic decision tracking
+
+#### 3.2 HMMM Integration
+- [ ] Structured reasoning capture
+- [ ] Thought attribution and timestamping
+- [ ] Mini-memo generation
+- [ ] Evidence-based consensus building
+
+#### 3.3 Team Lifecycle Management
+- [ ] Team formation workflows
+- [ ] Progress tracking and reporting
+- [ ] Dynamic team reconfiguration
+- [ ] Team dissolution procedures
+
+### Phase 4: SLURP Integration (Weeks 13-16)
+**Artifact Submission & Knowledge Preservation**
+
+#### 4.1 Artifact Packaging
+- [ ] Context preservation systems
+- [ ] Decision rationale documentation
+- [ ] Code and documentation bundling
+- [ ] Quality assurance integration
+
+#### 4.2 UCXL Address Management
+- [ ] Address generation and validation
+- [ ] Artifact versioning and linking
+- [ ] Hypercore integration
+- [ ] Distributed storage coordination
+
+#### 4.3 Knowledge Extraction
+- [ ] Performance analytics
+- [ ] Learning from team outcomes
+- [ ] Best practice identification
+- [ ] Continuous improvement mechanisms
+
+### Phase 5: Frontend Transformation (Weeks 17-20)
+**User Interface for Team Orchestration**
+
+#### 5.1 Team Management Dashboard
+- [ ] Real-time team formation visualization
+- [ ] Agent capability and availability display
+- [ ] Task analysis and team composition tools
+- [ ] Performance metrics and analytics
+
+#### 5.2 Collaboration Interface
+- [ ] Team channel integration
+- [ ] Real-time progress monitoring
+- [ ] Decision tracking and voting interface
+- [ ] Artifact preview and management
+
+#### 5.3 Administrative Controls
+- [ ] System configuration management
+- [ ] Agent fleet administration
+- [ ] Quality gate configuration
+- [ ] Compliance and audit tools
+
+### Phase 6: Advanced Features (Weeks 21-24)
+**Intelligence & Optimization**
+
+#### 6.1 Machine Learning Integration
+- [ ] Team composition optimization
+- [ ] Success prediction models
+- [ ] Agent performance analysis
+- [ ] Pattern recognition for team effectiveness
+
+#### 6.2 Cloud LLM Integration
+- [ ] Multi-provider LLM access
+- [ ] Cost optimization algorithms
+- [ ] Fallback and redundancy systems
+- [ ] Performance comparison analytics
+
+#### 6.3 Advanced Collaboration Features
+- [ ] Cross-team coordination
+- [ ] Resource sharing mechanisms
+- [ ] Escalation and oversight systems
+- [ ] External stakeholder integration
+
+## 🛠️ Technical Stack
+
+### Backend Services
+- **Language**: Python 3.11+ with FastAPI
+- **Database**: PostgreSQL 15+ with async support
+- **Cache**: Redis 7+ for session and real-time data
+- **Message Queue**: Redis Streams for event processing
+- **WebSockets**: FastAPI WebSocket support
+- **Authentication**: JWT with role-based access control
+
+### Frontend Application
+- **Framework**: React 18 with TypeScript
+- **State Management**: Zustand for complex state
+- **UI Components**: Tailwind CSS with Headless UI
+- **Real-time**: WebSocket integration with auto-reconnect
+- **Charting**: D3.js for advanced visualizations
+- **Testing**: Jest + React Testing Library
+
+### Infrastructure
+- **Containerization**: Docker with multi-stage builds
+- **Orchestration**: Docker Swarm (existing cluster)
+- **Reverse Proxy**: Traefik with SSL termination
+- **Monitoring**: Prometheus + Grafana
+- **Logging**: Structured logging with JSON format
+
+### AI/ML Integration
+- **Local Models**: Ollama endpoint integration
+- **Cloud LLMs**: OpenAI, Anthropic, Cohere APIs
+- **Model Selection**: Performance-based routing
+- **Embeddings**: Local embedding models for similarity
+
+### P2P Communication
+- **Protocol**: libp2p for peer-to-peer networking
+- **Addressing**: UCXL addressing system
+- **Discovery**: mDNS for local agent discovery
+- **Security**: SHHH encryption for sensitive data
+
+## 📊 Success Metrics
+
+### Phase 1-2 Metrics
+- [ ] Team Composer can analyze 95%+ of tasks correctly
+- [ ] Agent self-registration with 100% capability accuracy
+- [ ] GITEA integration creates valid team issues
+- [ ] P2P communication established between agents
+
+### Phase 3-4 Metrics
+- [ ] Teams achieve consensus within defined timeframes
+- [ ] Quality gates pass at 90%+ rate
+- [ ] SLURP integration preserves 100% of context
+- [ ] Decision rationale properly documented
+
+### Phase 5-6 Metrics
+- [ ] User interface supports all team management workflows
+- [ ] System handles 50+ concurrent teams
+- [ ] ML models improve team formation by 20%+
+- [ ] End-to-end team lifecycle under 48 hours average
+
+## 🔄 Continuous Integration
+
+### Development Workflow
+1. **Feature Branch Development**
+   - Branch from `develop` for new features
+   - Comprehensive test coverage required
+   - Code review by team members
+   - Automated testing on push
+
+2. **Integration Testing**
+   - Multi-service integration tests
+   - CHORUS agent interaction tests
+   - Performance regression testing
+   - Security vulnerability scanning
+
+3. **Deployment Pipeline**
+   - Automated deployment to staging
+   - End-to-end testing validation
+   - Performance benchmark verification
+   - Production deployment approval
+
+### Quality Assurance
+- **Code Quality**: 90%+ test coverage, linting compliance
+- **Security**: OWASP compliance, dependency scanning
+- **Performance**: Response time <200ms, 99.9% uptime
+- **Documentation**: API docs, architecture diagrams, user guides
+
+## 📚 Documentation Strategy
+
+### Technical Documentation
+- [ ] API reference documentation
+- [ ] Architecture decision records (ADRs)
+- [ ] Database schema documentation
+- [ ] Deployment and operations guides
+
+### User Documentation
+- [ ] Team formation user guide
+- [ ] Agent management documentation
+- [ ] Troubleshooting and FAQ
+- [ ] Best practices for AI development teams
+
+### Developer Documentation
+- [ ] Contributing guidelines
+- [ ] Local development setup
+- [ ] Testing strategies and tools
+- [ ] Code style and conventions
+
+## 🚦 Risk Management
+
+### Technical Risks
+- **Complexity**: Gradual rollout with feature flags
+- **Performance**: Load testing and optimization cycles
+- **Integration**: Mock services for independent development
+- **Security**: Regular security audits and penetration testing
+
+### Business Risks
+- **Adoption**: Incremental feature introduction
+- **User Experience**: Continuous user feedback integration
+- **Scalability**: Horizontal scaling design from start
+- **Maintenance**: Comprehensive monitoring and alerting
+
+## 📈 Future Roadmap
+
+### Year 1 Extensions
+- [ ] Multi-language team support
+- [ ] External repository integration (GitHub, GitLab)
+- [ ] Advanced analytics and reporting
+- [ ] Mobile application support
+
+### Year 2 Vision
+- [ ] Enterprise features and compliance
+- [ ] Third-party AI model marketplace
+- [ ] Advanced workflow automation
+- [ ] Cross-organization team collaboration
+
+This development plan provides the foundation for transforming WHOOSH into the central orchestration platform for autonomous AI development teams, ensuring scalable, secure, and effective collaboration between AI agents in the CHORUS ecosystem.
--- a/docs/GITEA_INTEGRATION.md
+++ b/docs/GITEA_INTEGRATION.md
@@ -0,0 +1,321 @@
+# WHOOSH GITEA Integration Guide
+
+## Overview
+
+WHOOSH integrates with the **GITEA instance running on IRONWOOD** (`http://ironwood:3000`) to provide comprehensive project repository management and BZZZ task coordination.
+
+### 🔧 **Corrected Infrastructure Details**
+
+- **GITEA Server**: `http://ironwood:3000` (IRONWOOD node)
+- **External Access**: `gitea.deepblack.cloud` (via Traefik reverse proxy)
+- **API Endpoint**: `http://ironwood:3000/api/v1`
+- **Integration**: Complete BZZZ task coordination via GITEA API
+- **Authentication**: Personal access tokens
+
+## 🚀 **Setup Instructions**
+
+### 1. GITEA Token Configuration
+
+To enable full WHOOSH-GITEA integration, you need a personal access token:
+
+#### Create Token in GITEA:
+1. Visit `http://ironwood:3000/user/settings/applications`
+2. Click "Generate New Token"
+3. Set token name: `WHOOSH Integration`
+4. Select permissions:
+   - ✅ **read:user** (required for API user operations)
+   - ✅ **write:repository** (create and manage repositories)
+   - ✅ **write:issue** (create and manage issues)
+   - ✅ **read:organization** (if using organization repositories)
+   - ✅ **write:organization** (if creating repositories in organizations)
+
+#### Store Token Securely:
+Choose one of these methods (in order of preference):
+
+**Option 1: Docker Secret (Most Secure)**
+```bash
+echo "your_gitea_token_here" | docker secret create gitea_token -
+```
+
+**Option 2: Filesystem Secret**
+```bash
+mkdir -p /home/tony/AI/secrets/passwords_and_tokens/
+echo "your_gitea_token_here" > /home/tony/AI/secrets/passwords_and_tokens/gitea-token
+chmod 600 /home/tony/AI/secrets/passwords_and_tokens/gitea-token
+```
+
+**Option 3: Environment Variable**
+```bash
+export GITEA_TOKEN="your_gitea_token_here"
+```
+
+### 2. Verify Integration
+
+Run the integration test to verify everything is working:
+
+```bash
+cd /home/tony/chorus/project-queues/active/WHOOSH
+python3 test_gitea_integration.py
+```
+
+Expected output with token configured:
+```
+✅ GITEA Service initialized
+✅ Found X repositories  
+✅ Repository validation successful
+✅ BZZZ integration features verified
+🎉 All tests passed! GITEA integration is ready.
+```
+
+## 🏗️ **Integration Architecture**
+
+### WHOOSH → GITEA Flow
+
+```
+WHOOSH Project Setup Wizard
+    ↓
+GiteaService.create_repository()
+    ↓
+GITEA API: Create Repository
+    ↓
+GiteaService._setup_bzzz_labels()
+    ↓
+GITEA API: Create Labels
+    ↓
+Project Ready for BZZZ Coordination
+```
+
+### BZZZ → GITEA Task Coordination
+
+```
+BZZZ Agent Discovery
+    ↓
+GiteaService.get_bzzz_tasks()
+    ↓
+GITEA API: List Issues with 'bzzz-task' label
+    ↓
+BZZZ Agent Claims Task
+    ↓
+GITEA API: Assign Issue + Add Comment
+    ↓
+BZZZ Agent Completes Task
+    ↓
+GITEA API: Close Issue + Results Comment
+```
+
+## 🏷️ **BZZZ Label System**
+
+The following labels are automatically created for BZZZ task coordination:
+
+### Core BZZZ Labels
+- **`bzzz-task`** - Task available for BZZZ agent coordination
+- **`in-progress`** - Task currently being worked on  
+- **`completed`** - Task completed by BZZZ agent
+
+### Task Type Labels
+- **`frontend`** - Frontend development task
+- **`backend`** - Backend development task
+- **`security`** - Security-related task
+- **`design`** - UI/UX design task
+- **`devops`** - DevOps and infrastructure task
+- **`documentation`** - Documentation task
+- **`bug`** - Bug fix task
+- **`enhancement`** - Feature enhancement task
+- **`architecture`** - System architecture task
+
+### Priority Labels
+- **`priority-high`** - High priority task
+- **`priority-low`** - Low priority task
+
+## 📋 **Project Creation Workflow**
+
+### 1. Through WHOOSH UI
+
+The enhanced project setup wizard now includes:
+
+```typescript
+// Project creation with GITEA integration
+const projectData = {
+  name: "my-new-project",
+  description: "Project description",
+  git_config: {
+    repo_type: "new",           // new|existing|import
+    repo_name: "my-new-project",
+    git_owner: "whoosh",        // GITEA user/organization
+    private: false,
+    auto_initialize: true
+  },
+  bzzz_config: {
+    enable_bzzz: true,          // Enable BZZZ task coordination
+    task_coordination: true,
+    ai_agent_access: true
+  }
+}
+```
+
+### 2. Automated Repository Setup
+
+When creating a new project, WHOOSH automatically:
+
+1. **Creates GITEA Repository**
+   - Sets up repository with README, .gitignore, LICENSE
+   - Configures default branch and visibility
+
+2. **Installs BZZZ Labels**
+   - Adds all task coordination labels
+   - Sets up proper color coding and descriptions
+
+3. **Creates Initial Task**
+   - Adds "Project Setup" issue with `bzzz-task` label
+   - Provides template for future task creation
+
+4. **Configures Integration**
+   - Links project to repository in WHOOSH database
+   - Enables BZZZ agent discovery
+
+## 🤖 **BZZZ Agent Integration**
+
+### Task Discovery
+
+BZZZ agents discover tasks by:
+
+```go
+// In BZZZ agent
+config := &gitea.Config{
+    BaseURL:     "http://ironwood:3000",
+    AccessToken: os.Getenv("GITEA_TOKEN"),
+    Owner:       "whoosh",
+    Repository:  "project-name",
+}
+
+client, err := gitea.NewClient(ctx, config)
+tasks, err := client.ListAvailableTasks()
+```
+
+### Task Claiming
+
+```go
+// Agent claims task
+task, err := client.ClaimTask(issueNumber, agentID)
+// Automatically:
+// - Assigns issue to agent
+// - Adds 'in-progress' label  
+// - Posts claim comment
+```
+
+### Task Completion
+
+```go
+// Agent completes task
+results := map[string]interface{}{
+    "files_modified": []string{"src/main.go", "README.md"},
+    "tests_passed": true,
+    "deployment_ready": true,
+}
+
+err := client.CompleteTask(issueNumber, agentID, results)
+// Automatically:
+// - Closes issue
+// - Adds 'completed' label
+// - Posts results comment
+```
+
+## 🔍 **Monitoring and Management**
+
+### WHOOSH Dashboard Integration
+
+The WHOOSH dashboard shows:
+
+- **Repository Status**: Connected GITEA repositories
+- **BZZZ Task Count**: Open tasks available for agents
+- **Agent Activity**: Which agents are working on which tasks
+- **Completion Metrics**: Task completion rates and times
+
+### GITEA Repository View
+
+In GITEA, you can monitor:
+
+- **Issues**: All BZZZ tasks show as labeled issues
+- **Activity**: Agent comments and task progression
+- **Labels**: Visual task categorization and status
+- **Milestones**: Project progress tracking
+
+## 🔧 **Troubleshooting**
+
+### Common Issues
+
+**"No GITEA token found"**
+- Solution: Configure token using one of the methods above
+
+**"Repository creation failed"** 
+- Check token has `repository` permissions
+- Verify GITEA server is accessible at `http://ironwood:3000`
+- Ensure target organization/user exists
+
+**"BZZZ tasks not discovered"**
+- Verify issues have `bzzz-task` label
+- Check BZZZ agent configuration points to correct repository
+- Confirm token has `issue` permissions
+
+**"API connection timeout"**
+- Verify IRONWOOD node is accessible on network
+- Check GITEA service is running: `docker service ls | grep gitea`
+- Test connectivity: `curl http://ironwood:3000/api/v1/version`
+
+### Debug Commands
+
+```bash
+# Test GITEA connectivity
+curl -H "Authorization: token YOUR_TOKEN" \
+     http://ironwood:3000/api/v1/user
+
+# List repositories
+curl -H "Authorization: token YOUR_TOKEN" \
+     http://ironwood:3000/api/v1/user/repos
+
+# Check BZZZ tasks in repository
+curl -H "Authorization: token YOUR_TOKEN" \
+     "http://ironwood:3000/api/v1/repos/OWNER/REPO/issues?labels=bzzz-task"
+```
+
+## 📈 **Performance Considerations**
+
+### API Rate Limits
+- GITEA default: 5000 requests/hour per token
+- WHOOSH caches repository information locally
+- BZZZ agents use efficient polling intervals
+
+### Scalability
+- Single GITEA instance supports 100+ repositories
+- BZZZ task coordination scales to 50+ concurrent agents  
+- Repository operations are asynchronous where possible
+
+## 🔮 **Future Enhancements**
+
+### Planned Features
+- **Webhook Integration**: Real-time task updates
+- **Advanced Task Routing**: Agent capability matching
+- **Cross-Repository Projects**: Multi-repo BZZZ coordination
+- **Enhanced Metrics**: Detailed agent performance analytics
+- **Automated Testing**: Integration with CI/CD pipelines
+
+### Integration Roadmap
+1. **Phase 1**: Basic repository and task management ✅
+2. **Phase 2**: Advanced agent coordination (in progress)
+3. **Phase 3**: Cross-project intelligence sharing
+4. **Phase 4**: Predictive task allocation
+
+---
+
+## 📞 **Support**
+
+For issues with GITEA integration:
+
+1. **Check Integration Test**: Run `python3 test_gitea_integration.py`
+2. **Verify Configuration**: Ensure token and connectivity
+3. **Review Logs**: Check WHOOSH backend logs for API errors
+4. **Test Manually**: Use curl commands to verify GITEA API access
+
+**GITEA Integration Status**: ✅ **Production Ready**  
+**BZZZ Coordination**: ✅ **Active**  
+**Agent Discovery**: ✅ **Functional**
--- a/docs/TEAM_COMPOSER_SPEC.md
+++ b/docs/TEAM_COMPOSER_SPEC.md