# 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 ```bash # 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): ```bash # 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-4.7: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 ```bash # 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 | embeddinggemma:300m (sentence-transformers) | | Local LLM | Ollama (glm-4.7:cloud) | | Cloud LLM | Claude API (Anthropic) | | Package Manager | uv | ## Status **Core Infrastructure** (Complete) - [x] Data models (Pydantic) - [x] Database ORM (SQLAlchemy async) - [x] Task lifecycle state machine - [x] Multi-agent workspace management - [x] Agent blueprints (18 agents) - [x] Messaging API - [x] Task API with full lifecycle - [x] Git operations API - [x] Test/CI operations API - [x] RAG/Knowledge base (piragi + pgvector) - [x] Agent orchestrator - [x] CEO approval workflow **In Progress** - [ ] Frontend panel (roboco-panel) - [ ] Full agent autonomy testing ## License MIT