Update all hardcoded paths from ~/AI/projects/* to ~/chorus/project-queues/active/*
and ~/AI/secrets/* to ~/chorus/business/secrets/* after workspace reorganization.
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- Agent roles and coordination features
- Chat API integration testing
- New configuration and workspace management
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- Add role-based configuration to AgentConfig with 15 predefined roles
- Enhanced message types for role-based collaboration
- Role-based topic subscription system
- Agent initialization with automatic role assignment
- Role announcements and collaboration settings
- Support for expertise areas, reporting hierarchy, and deliverables
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- Fix branch name validation by hashing peer IDs using SHA256
- Fix Hive API claiming error by using correct 'task_number' parameter
- Improve console app display with 300% wider columns and adaptive width
- Add GitHub CLI integration to sandbox with token authentication
- Enhance system prompt with collaboration guidelines and help escalation
- Fix sandbox lifecycle to preserve work even if PR creation fails
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- Added dynamic branch detection that falls back to repository default branch
- Fixed sandbox image reference to use local Docker registry
- Completed full task execution pipeline: discovery → claim → sandbox → execution
- Enhanced GitHub client to verify base branch existence and auto-correct
- Successfully tested end-to-end task claiming and execution
🎉 MAJOR MILESTONE: Full Bzzz task execution workflow now functional\!
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- Fixed module path from github.com/deepblackcloud/bzzz to github.com/anthonyrawlins/bzzz
- Added dynamic Ollama model detection via /api/tags endpoint
- Implemented intelligent model selection through N8N webhook integration
- Added BZZZ_MODEL_SELECTION_WEBHOOK environment variable support
- Fixed GitHub assignee issue by using valid username instead of peer ID
- Added comprehensive model fallback mechanisms
- Updated all import statements across the codebase
- Removed duplicate systemd service file
- Added sandbox execution environment and type definitions
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- Enhanced mock-hive-server.py with work submission endpoints
- Added PROGRESS_REPORT.md documenting system accomplishments
- Added PROJECT_TODOS.md with comprehensive task breakdown
- Added trigger_mock_coordination.sh test script
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- Replace full timestamps with compact relative time (5s, 2m, 1h)
- Add real coordination channel counters for each bzzz communication type
- Add message rate calculations (msgs/second) for all channels
- Track availability, capability, coordination, antennae, task, and session messages
- Improve activity message extraction for better readability
- Reduce interface space consumption while showing more meaningful data
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- Add mock Hive API server providing fake projects/tasks for real bzzz coordination
- Add comprehensive test suite with task simulator and coordination scenarios
- Add real-time monitoring dashboard (btop/nvtop style) for coordination activity
- Add antennae monitoring and logging infrastructure
- Add systemd configuration scripts and deployment tools
- Update pubsub message types for coordination requests and completion
- Add Docker support and cluster deployment scripts
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- Replace stub functions with real capability-based filtering
- Add task matching based on labels and keywords
- Implement P2P task claim announcements
- Support code-generation, debugging, testing, documentation tasks
- Add intelligent task type detection from issue content
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- Add availability broadcasting every 30s showing real working status
- Replace constant capability broadcasts with change-based system
- Implement persistent capability storage in ~/.config/bzzz/
- Add SimpleTaskTracker for real task status monitoring
- Only broadcast capabilities on startup or when models/capabilities change
- Add proper Hive API URL configuration and integration
- Fix capability change detection with proper comparison logic
This eliminates P2P mesh spam and provides accurate node availability.
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This commit introduces the human escalation feature, completing Phase 3 of the development plan.
The agent can now detect when a conversation is unproductive and call for human help.
Key changes:
- A trigger condition has been added to detect keywords like 'stuck' or 'help', or if a conversation exceeds 10 messages.
- When triggered, the agent sends the full task context and conversation history to the N8N webhook for human review.
- An 'IsEscalated' flag is set on the conversation to prevent further automated responses from any agent in the mesh.
- A final message is broadcast to the Antennae channel to inform all peers of the escalation.
This commit completes Phase 2 of the Ollama integration. The bzzz-agent is now capable of participating in collaborative discussions.
Key changes:
- The pubsub module has been refactored to use a generic message handler, decoupling it from the github integration logic.
- The github integration module now maintains a history of active conversations for each task.
- When a peer sends a message on the meta-discussion channel, the agent will:
1. Append the message to the conversation history.
2. Construct a new prompt containing the full context (original task + conversation history).
3. Use the 'reasoning' module to generate a context-aware response.
4. Publish the response back to the discussion channel.
- The main application has been updated to wire up the new handlers.
The agent can now intelligently discuss and refine plans with its peers before and during task execution.
- Add Conversation struct to track task discussion history
- Implement handleMetaDiscussion for dynamic peer collaboration
- Enhanced GitHub integration with active discussion management
- Add SetAntennaeMessageHandler for pluggable message handling
- Simplify pubsub message types to generic MetaDiscussion
- Enable real-time collaborative reasoning between AI agents
- Integrate conversation context into Ollama response generation
- Support distributed decision making across P2P network
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This commit introduces the new 'reasoning' module, which allows the bzzz-agent to connect to a local Ollama instance.
It also modifies the 'github' integration module to use this new capability. When a task is claimed, the agent now generates a step-by-step execution plan using an Ollama model and publishes this plan to the Antennae meta-discussion channel for peer review before proceeding.
This completes Phase 1 of the Ollama integration plan.
- Enhanced README.md with complete deployment instructions
- Added DEPLOYMENT.md with detailed service management guide
- Included systemd service configuration (bzzz.service)
- Added install-service.sh and uninstall-service.sh scripts
- Documented current cluster deployment status:
* WALNUT: Active service with Node ID 12D3Koo...aXHoUh
* IRONWOOD: Active service with Node ID 12D3Koo...8QbiTa
* ACACIA: Active service with Node ID 12D3Koo...Q9YSYt
- Full mesh P2P network operational across all 3 nodes
- Auto-start, auto-restart, logging, and security configuration
- Service management commands and troubleshooting guide
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