Documentation Index
Fetch the complete documentation index at: https://docs.arcprize.org/llms.txt
Use this file to discover all available pages before exploring further.
Build stateful agents with the popular LangChain framework. This template uses LangGraph to create cyclical, stateful agent runtimes that can manage complex reasoning flows and tool use within the ARC-AGI-3 environment.
LangGraph Templates
Multi-Modal
# Run the LangGraph agent with image support
uv run main.py --agent=langgraph --game=ls20
Text only
# Run the LangGraph agent (text-only)
uv run main.py --agent=langgraphtextonly --game=ls20
Random Agent
Created by Anusheel Bhushan (@anusheel), Burak Akkaya (@bakkaya-plank), Sophia Willows (@sophiabits) of Plank.
# Run the LangGraph random agent
uv run main.py --agent=langgraphrandom --game=ls20
LangGraph Thinking Agent
A more advanced template than LangGraph Random Agent for people to build upon. Uses a variety of different tools, and has support for making long-term observations which persist between runs.
Created by Anusheel Bhushan (@anusheel), Burak Akkaya (@bakkaya-plank), Sophia Willows (@sophiabits) of Plank.
# Run the LangGraph thinking agent
uv run main.py --agent=langgraphthinking --game=ls20
