Skip to main contentARC-AGI
The Abstraction and Reasoning Corpus for Artificial General Intelligence. A series of benchmarks designed to measure an AI system’s ability to acquire new skills and generalize to novel situations. Learn more
ARC-AGI-3
The third iteration of the ARC-AGI benchmark, featuring interactive game environments that test an AI agent’s ability to explore, learn, and adapt in real-time.
Arcade
The main entry point class in the ARC-AGI Toolkit (arc_agi.Arcade()). Handles configuration, environment discovery, and scorecard management.
Environment
An interactive game instance that an agent can play. Each environment has a game state, available actions, and scoring. Created using arc.make("game_id").
Swarm
A system for orchestrating multiple agents across multiple games simultaneously. Swarms handle concurrent execution, scorecard management, and cleanup.
The ARC-AGI Toolkit — an open-source Python SDK for interacting with ARC-AGI-3 environments locally or via API. 
