🐦‍⬛ Rookery

Rookery Documentation

Everything you need to orchestrate, monitor, and scale AI agents with Rookery. From quick starts to advanced configuration.

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Quick Start

1

Install


                                    # Ensure Python 3.13+ and uv installed
                                    

                                    uv sync --all-extras

2

Run


                                    # Start the server
                                    

                                    uv run rookery --reload

3

Create


                                    # Create your first agent
                                    

                                    Visit /app/agents

Getting Started

Installation, configuration, and your first AI agent setup.

• Installation guide
• Running Rookery
• Basic configuration

Read Guide →

User Guide

Master the UI, chat interface, projects, and team collaboration.

• UI overview
• Chat interface
• Lists and projects
• Team management

Learn More →

Agent Configuration

Configure AI agents, models, tools, and advanced settings.

• Agent setup
• Model configuration
• Tool integration
• MCP servers

Configure →

API Reference

Complete REST API documentation and integration examples.

• REST endpoints
• Authentication
• SDKs and examples
• Webhooks

API Docs →

Core Concepts

Understanding orchestration, workflows, and architecture.

• Architecture overview
• Orchestration patterns
• Worker pools
• MCP protocol

Understand →

CLI Tools

Command-line utilities for managing agents and tasks.

• uv run agents
• uv run tasks
• uv run health
• uv run config

CLI Reference →

Additional Resources

Explore more ways to get help and stay connected with the Rookery community.

Source & Issues