RoboCo

AI Agents Company - A virtual organization of 18 AI agents + 1 human CEO, designed to operate as a complete software development workforce.

Overview

RoboCo implements a structured organizational hierarchy with formal communication protocols, task management, and quality controls. The system enables a single human (CEO) to orchestrate complex multi-project development at scale.

CEO (Renzo - Human)
    │
    └── Board (3 agents)
         ├── Product Owner
         ├── Head of Marketing
         └── Auditor (silent observer, reports to CEO)
              │
              └── Main PM (coordinates all cells)
                   │
                   ├── Backend Cell (5 agents: 2 Devs, 1 QA, 1 PM, 1 Documenter)
                   ├── Frontend Cell (5 agents: 2 Devs, 1 QA, 1 PM, 1 Documenter)
                   └── UX/UI Cell (4 agents: 1 Dev, 1 QA, 1 PM, 1 Documenter)

Project Structure

roboco/
├── roboco/                      # Main Python package
│   ├── api/                     # FastAPI routes & schemas
│   │   ├── routes/              # API endpoints (tasks, git, agents, etc.)
│   │   └── schemas/             # Pydantic request/response models
│   ├── services/                # Business logic services
│   │   ├── task.py              # Task lifecycle management
│   │   ├── workspace.py         # Multi-agent workspace management
│   │   ├── messaging.py         # Agent communication
│   │   └── optimal_brain/       # RAG/Knowledge base (piragi)
│   ├── models/                  # Pydantic domain models
│   ├── db/                      # SQLAlchemy ORM & migrations
│   ├── enforcement/             # Task lifecycle state machine
│   ├── runtime/                 # Orchestrator for agent spawning
│   ├── agents/                  # Agent base classes
│   ├── mcp/                     # MCP server implementations
│   └── config.py                # Application configuration
├── agents/
│   ├── blueprints/              # Agent system prompts (18 agents)
│   └── prompts/identities/      # Agent identity files
├── docs/
│   ├── architecture/            # Architecture documentation
│   └── workflows/               # Workflow documentation
├── alembic/                     # Database migrations
├── CLAUDE.md                    # Claude Code guidance
└── docker-compose.yml           # Local development stack

Quick Start

# Install dependencies
uv sync

# Start PostgreSQL and Redis (Docker)
docker compose up -d

# Run database migrations
uv run alembic upgrade head

# Start the API server
uv run python -m roboco.cli

# Or just the API without orchestrator
uv run uvicorn roboco.api:app --reload --host 0.0.0.0 --port 8000

Configuration

Key environment variables (see roboco/config.py for all options):

# API Server
ROBOCO_HOST=0.0.0.0
ROBOCO_PORT=8000

# Database
ROBOCO_DATABASE_HOST=localhost
ROBOCO_DATABASE_PORT=5432
ROBOCO_DATABASE_NAME=roboco

# Workspaces (Multi-Agent Git)
ROBOCO_WORKSPACES_ROOT=/data/workspaces
ROBOCO_WORKSPACE_AUTO_CLONE=true

# RAG/LLM
ROBOCO_LOCAL_LLM_BASE_URL=http://roboco-ollama:11434/v1
ROBOCO_LOCAL_LLM_MODEL=glm-5:cloud

Multi-Agent Workspace Structure

Each agent gets their own git clone for parallel development:

{ROBOCO_WORKSPACES_ROOT}/
└── {project-slug}/
    └── {team}/
        └── {agent-slug}/
            └── [git repository]

Example:
/data/workspaces/roboco/backend/be-dev-1/
/data/workspaces/roboco/backend/be-dev-2/

Task Lifecycle

backlog → pending → claimed → in_progress → verifying → awaiting_qa
    ↓                              ↓              ↓           ↓
cancelled                      blocked      needs_revision   awaiting_documentation
                               paused                              ↓
                                                           awaiting_pm_review
                                                                   ↓
                                                           awaiting_ceo_approval
                                                                   ↓
                                                              completed

API Endpoints

Route Group	Description
/api/v1/tasks	Task CRUD, lifecycle, claiming
/api/v1/agents	Agent management
/api/v1/git	Git operations (status, commit, push, PR)
/api/v1/test	Test/lint/format/build commands
/api/v1/sessions	Communication sessions
/api/v1/messages	Agent messages
/api/v1/projects	Project (repo) management
/api/v1/work-sessions	Git work session tracking
/api/v1/optimal	RAG/Knowledge base queries
/api/v1/journals	Agent journals/reflections

Development

# Install dev dependencies
uv sync --all-extras

# Run tests
uv run pytest

# Format and lint
uv run ruff format .
uv run ruff check .
uv run mypy roboco/

# Type checking
uv run mypy roboco/

Core Principles

1. Everything is a task - All work is tracked and documented
2. No work without a task - Create task record first
3. No task without acceptance criteria - How do we know it's done?
4. No closure without documentation - Future agents need context
5. Communication is constant - Stream reasoning, log everything
6. The Auditor sees all - Quality monitored silently
7. CEO approves major changes - Human-in-the-loop for critical decisions

Technology Stack

Layer	Technology
API Framework	FastAPI
Database	PostgreSQL + SQLAlchemy (async)
Vector Store	pgvector (via piragi)
Cache/Queue	Redis
RAG Library	piragi
Embeddings	qwen3-embedding:0.6b (sentence-transformers)
Local LLM	Ollama (glm-5:cloud)
Cloud LLM	Claude API (Anthropic)
Package Manager	uv

Status

Core Infrastructure (Complete)

• Data models (Pydantic)
• Database ORM (SQLAlchemy async)
• Task lifecycle state machine
• Multi-agent workspace management
• Agent blueprints (18 agents)
• Messaging API
• Task API with full lifecycle
• Git operations API
• Test/CI operations API
• RAG/Knowledge base (piragi + pgvector)
• Agent orchestrator
• CEO approval workflow

In Progress

• Frontend panel (vendored under panel/, served through nginx on :3000)
• Full agent autonomy testing

License

MIT