anthonyrawlins aea4d45fd8 Implement Phase 2 & 3: Complete HAP Terminal Interface with Patch Management
🎭 Phase 2: HAP Terminal Interface Implementation
 **Core Terminal Interface**: Interactive command-driven HAP terminal with help system
 **HMMM Message Composition System**:
   - New reasoning messages, thread replies, network queries, decision proposals
   - Complete message metadata handling (topics, threads, timestamps)
 **UCXL Context Browsing System**:
   - Address parsing, content retrieval from DHT encrypted storage
   - Search functionality, content creation, history navigation
 **Decision Participation System**:
   - Active decision listing, decision details with voting status
   - Vote casting with reasoning, decision proposals, HMMM integration

🔧 Phase 3: Enhanced Human Workflows
 **Patch Creation and Submission Workflows**:
   - Complete patch lifecycle management (create, review, submit, track)
   - Multiple patch types (context, code, config, docs)
   - UCXL integration with DHT storage, HMMM coordination
 **Time-Travel Diff Support**:
   - Temporal navigation operators (~~<n>, ^^<n>, @<time>)
   - Decision-hop analysis, visual diff display, version comparison

🏗️ **Architecture Highlights**:
- **Multi-binary structure**: Separate chorus-agent and chorus-hap binaries
- **Shared P2P runtime**: Both binaries use identical libp2p, DHT, HMMM, UCXL systems
- **Interactive sub-shells**: Dedicated command environments for HMMM, UCXL, patches, decisions
- **Network integration**: All features connect to distributed P2P agent network
- **Human-agent parity**: Humans participate as first-class network citizens

📦 **New Files**:
- internal/hapui/terminal.go: Complete HAP terminal interface (2400+ lines)
- prompts/human-roles.yaml: Role-based prompt configuration
- docs/decisions/*: HAP conversion decision record

🔗 **Integration Points**:
- HMMM: Collaborative reasoning and patch/decision announcements
- UCXL: Context addressing and version management
- DHT: Distributed storage of patches and content
- Decision System: Formal approval and consensus workflows

The HAP terminal interface now provides comprehensive human portal into the CHORUS
autonomous agent network, enabling collaborative reasoning, context sharing, patch
management, and distributed decision-making between humans and AI agents.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-07 09:38:14 +10:00
2025-09-06 14:47:41 +10:00
2025-09-06 14:47:41 +10:00
2025-09-06 14:47:41 +10:00
2025-09-02 19:53:33 +10:00
2025-09-06 14:47:41 +10:00

CHORUS - Container-First P2P Task Coordination System

CHORUS is a next-generation P2P task coordination and collaborative AI system designed from the ground up for containerized deployments. It takes the best lessons learned from CHORUS and reimagines them for Docker Swarm, Kubernetes, and modern container orchestration platforms.

Vision

CHORUS enables distributed AI agents to coordinate, collaborate, and execute tasks across container clusters, supporting deployments from single containers to hundreds of instances in enterprise environments.

Key Design Principles

  • Container-First: Designed specifically for Docker/Kubernetes deployments
  • License-Controlled: Simple environment variable-based licensing
  • Cloud-Native Logging: Structured logging to stdout/stderr for container runtime collection
  • Swarm-Ready P2P: P2P protocols optimized for container networking
  • Scalable Agent IDs: Agent identification system that works across distributed deployments
  • Zero-Config: Minimal configuration requirements via environment variables

Architecture

CHORUS follows a microservices architecture where each container runs a single agent instance:

┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
│   CHORUS Agent  │  │   CHORUS Agent  │  │   CHORUS Agent  │
│   Container 1   │◄─┤   Container 2   │─►│   Container N   │
└─────────────────┘  └─────────────────┘  └─────────────────┘
         │                      │                      │
         └──────────────────────┼──────────────────────┘
                                │
                    ┌─────────────────┐
                    │  Container      │
                    │  Network        │
                    │  (P2P Mesh)     │
                    └─────────────────┘

Quick Start

Prerequisites

  • Docker & Docker Compose
  • Valid CHORUS license key
  • Access to Ollama endpoints for AI functionality

Basic Deployment

  1. Clone and configure:
git clone https://gitea.chorus.services/tony/CHORUS.git
cd CHORUS
cp docker/chorus.env.example docker/chorus.env
# Edit docker/chorus.env with your license key and configuration
  1. Deploy:
docker-compose -f docker/docker-compose.yml up -d
  1. Scale (Docker Swarm):
docker service scale chorus_agent=10

Licensing

CHORUS requires a valid license key to operate. Set your license key in the environment:

CHORUS_LICENSE_KEY=your-license-key-here
CHORUS_LICENSE_EMAIL=your-email@example.com

No license = No operation. CHORUS will not start without valid licensing.

Differences from CHORUS

Aspect CHORUS CHORUS
Deployment systemd service (1 per host) Container (N per cluster)
Configuration Web UI setup Environment variables
Logging Journal/files stdout/stderr (structured)
Licensing Setup-time validation Runtime environment variable
Agent IDs Host-based Container/cluster-based
P2P Discovery mDNS local network Container network + service discovery

Development Status

🚧 Early Development - CHORUS is being designed and built. Not yet ready for production use.

Current Phase: Architecture design and core foundation development.

License

CHORUS is a commercial product. Contact chorus.services for licensing information.

Contributing

CHORUS is developed by the chorus.services team. For contributions or feedback, please use the issue tracker on our GITEA instance.

Description
Container-First P2P Task Coordination System - Next generation distributed AI agent coordination designed for Docker/Kubernetes deployments
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