bzzz/archive/PROJECT_TODOS.md

BZZZ P2P Coordination System - TODO List

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🎯 PHASE 1 UCXL INTEGRATION - COMPLETED ✅

Status: Successfully implemented and tested (2025-08-07)

✅ UCXL Protocol Foundation (BZZZ)

Branch: feature/ucxl-protocol-integration

• ✅ Complete UCXL address parser with BNF grammar validation
• ✅ Temporal navigation system (~~, ^^, *^, *~) with bounds checking
• ✅ UCXI HTTP server with REST-like operations (GET/PUT/POST/DELETE/ANNOUNCE)
• ✅ 87 comprehensive tests all passing
• ✅ Production-ready integration with existing P2P architecture (opt-in via config)
• ✅ Semantic addressing with wildcards and version control support

Key Files: pkg/ucxl/address.go, pkg/ucxl/temporal.go, pkg/ucxi/server.go, pkg/ucxi/resolver.go

✅ SLURP Decision Ingestion System

Branch: feature/ucxl-decision-ingestion

• ✅ Complete decision node schema with UCXL address validation
• ✅ Citation chain validation with circular reference prevention
• ✅ Bounded reasoning with configurable depth limits (not temporal windows)
• ✅ Async decision ingestion pipeline with priority queuing
• ✅ Graph database integration for global context graph building
• ✅ Semantic search with embedding-based similarity matching

Key Files: ucxl_decisions.py, decisions.py, decision_*_service.py, PostgreSQL schema

🔄 IMPORTANT: EXISTING FUNCTIONALITY PRESERVED

✅ GitHub Issues → BZZZ Agents → Task Execution → Pull Requests (UNCHANGED)
                        ↓ (optional, when UCXL.Enabled=true)
✅ UCXL Decision Publishing → SLURP → Global Context Graph (NEW)

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🚀 NEXT PRIORITIES - PHASE 2 UCXL ENHANCEMENT

P2P DHT Integration for UCXL (High Priority)

• Implement distributed UCXL address resolution across cluster
• Add UCXL content announcement and discovery via DHT
• Integrate with existing mDNS discovery system
• Add content routing and replication for high availability

Decision Publishing Integration (High Priority)

• Connect BZZZ task completion to SLURP decision publishing
• Add decision worthiness heuristics (filter ephemeral vs. meaningful decisions)
• Implement structured decision node creation after task execution
• Add citation linking to existing context and justifications

OpenAI GPT-4 + MCP Integration (High Priority)

• Create MCP tools for UCXL operations (bzzz_announce, bzzz_lookup, bzzz_get, etc.)
• Implement GPT-4 agent framework for advanced reasoning
• Add cost tracking and rate limiting for OpenAI API calls (key stored in secrets)
• Enable multi-agent collaboration via UCXL addressing

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📋 ORIGINAL PRIORITIES REMAIN ACTIVE

Highest Priority - RL Context Curator Integration

0. RL Context Curator Integration Tasks

Priority: Critical - Integration with HCFS RL Context Curator

• Feedback Event Publishing System

  • Extend pubsub/pubsub.go to handle feedback_event message types
  • Add context feedback schema validation
  • Implement feedback event routing to RL Context Curator
  • Add support for upvote, downvote, forgetfulness, task_success, task_failure events

• Hypercore Logging Integration

  • Modify logging/hypercore.go to log context relevance feedback
  • Add feedback event schema to hypercore logs for RL training data
  • Implement context usage tracking for learning signals
  • Add agent role and directory scope to logged events

• P2P Context Feedback Routing

  • Extend p2p/node.go to route context feedback messages
  • Add dedicated P2P topic for feedback events: bzzz/context-feedback/v1
  • Ensure feedback events reach RL Context Curator across P2P network
  • Implement feedback message deduplication and ordering

• Agent Role and Directory Scope Configuration

  • Create new file agent/role_config.go for role definitions
  • Implement role-based agent configuration (backend, frontend, devops, qa)
  • Add directory scope patterns for each agent role
  • Support dynamic role assignment and capability updates
  • Integrate with existing agent capability broadcasting

• Context Feedback Collection Triggers

  • Add hooks in task completion workflows to trigger feedback collection
  • Implement automatic feedback requests after successful task completions
  • Add manual feedback collection endpoints for agents
  • Create feedback confidence scoring based on task outcomes

High Priority - Immediate Blockers

1. Local Git Hosting Solution

Priority: Critical

• Deploy Local GitLab Instance

  • Configure GitLab Community Edition on Docker Swarm
  • Set up domain/subdomain (e.g., gitlab.bzzz.local or git.home.deepblack.cloud)
  • Configure SSL certificates via Traefik/Let's Encrypt
  • Create test organization and repositories
  • Import/create realistic project structures

• Alternative: Deploy Gitea Instance

  • Evaluate Gitea as lighter alternative to GitLab
  • Docker Swarm deployment configuration
  • Domain and SSL setup
  • Test repository creation and API access

• Local Repository Setup

  • Create mock repositories that actually exist:
    • bzzz-coordination-platform (simulating WHOOSH)
    • bzzz-p2p-system (actual Bzzz codebase)
    • distributed-ai-development
    • infrastructure-automation
  • Add realistic issues with bzzz-task labels
  • Configure repository access tokens
  • Test GitHub API compatibility

2. Task Claim Logic Enhancement

Priority: Critical

• Analyze Current Bzzz Binary Workflow

  • Map current task discovery process in bzzz binary
  • Identify where task claiming should occur
  • Document current P2P message flow

• Implement Active Task Discovery

  • Add periodic repository polling in bzzz agents
  • Implement task evaluation and filtering logic
  • Add task claiming attempts with conflict resolution

• Enhance Task Claim Logic in Go Code

  • Modify github/integration.go to actively claim suitable tasks
  • Add retry logic for failed claims
  • Implement task priority evaluation
  • Add coordination messaging for task claims

• P2P Coordination for Task Claims

  • Implement distributed task claiming protocol
  • Add conflict resolution when multiple agents claim same task
  • Enhance availability broadcasting with claimed task status

Medium Priority - Core Functionality

3. Agent Work Execution

• Complete Work Capture Integration

  • Modify bzzz agents to actually submit work to mock API endpoints
  • Test prompt logging with Ollama models
  • Verify meta-thinking tool utilization
  • Capture actual code generation and pull request content

• Ollama Model Integration Testing

  • Verify agent prompts are reaching Ollama endpoints
  • Test meta-thinking capabilities with local models
  • Document model performance with coordination tasks
  • Optimize prompt engineering for coordination scenarios

4. Real Coordination Scenarios

• Cross-Repository Dependency Testing

  • Create realistic dependency scenarios between repositories
  • Test antennae framework with actual dependency conflicts
  • Verify coordination session creation and resolution

• Multi-Agent Task Coordination

  • Test scenarios with multiple agents working on related tasks
  • Verify conflict detection and resolution
  • Test consensus mechanisms

5. Infrastructure Improvements

• Docker Overlay Network Issues

  • Debug connectivity issues between services
  • Optimize network performance for coordination messages
  • Ensure proper service discovery in swarm environment

• Enhanced Monitoring

  • Add metrics collection for coordination performance
  • Implement alerting for coordination failures
  • Create historical coordination analytics

Low Priority - Nice to Have

6. User Interface Enhancements

• Web-Based Coordination Dashboard

  • Create web interface for monitoring coordination activity
  • Add visual representation of P2P network topology
  • Show task dependencies and coordination sessions

• Enhanced CLI Tools

  • Add bzzz CLI commands for manual task management
  • Create debugging tools for coordination issues
  • Add configuration management utilities

7. Documentation and Testing

• Comprehensive Documentation

  • Document P2P coordination protocols
  • Create deployment guides for new environments
  • Add troubleshooting documentation

• Automated Testing Suite

  • Create integration tests for coordination scenarios
  • Add performance benchmarks
  • Implement continuous testing pipeline

8. Advanced Features

• Dynamic Agent Capabilities

  • Allow agents to learn and adapt capabilities
  • Implement capability evolution based on task history
  • Add skill-based task routing

• Advanced Coordination Algorithms

  • Implement more sophisticated consensus mechanisms
  • Add economic models for task allocation
  • Create coordination learning from historical data

Technical Debt and Maintenance

9. Code Quality Improvements

• Error Handling Enhancement

  • Improve error reporting in coordination failures
  • Add graceful degradation for network issues
  • Implement proper logging throughout the system

• Performance Optimization

  • Profile P2P message overhead
  • Optimize database queries for task discovery
  • Improve coordination session efficiency

10. Security Enhancements

• Agent Authentication

  • Implement proper agent identity verification
  • Add authorization for task claims
  • Secure coordination message exchange

• Repository Access Security

  • Audit GitHub/Git access patterns
  • Implement least-privilege access principles
  • Add credential rotation mechanisms

Immediate Next Steps (This Week)

1. Deploy Local GitLab/Gitea - Resolve repository access issues
2. Enhance Task Claim Logic - Make agents actively discover and claim tasks
3. Test Real Coordination - Verify agents actually perform work on local repositories
4. Debug Network Issues - Ensure all components communicate properly

Dependencies and Blockers

• Local Git Hosting: Blocks real task testing and agent work verification
• Task Claim Logic: Blocks agent activation and coordination testing
• Network Issues: May impact agent communication and coordination

Success Metrics

• Agents successfully discover and claim tasks from local repositories
• Real code generation and pull request creation captured
• Cross-repository coordination sessions functioning
• Multiple agents coordinating on dependent tasks
• Ollama models successfully utilized for meta-thinking
• Performance metrics showing sub-second coordination response times