> ## 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.

# LangChain Template

> LangChain Template

Build stateful agents with the popular [LangChain](https://www.langchain.com/) framework. This template uses [LangGraph](https://langchain-ai.github.io/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

```bash theme={null}
# Run the LangGraph agent with image support
uv run main.py --agent=langgraph --game=ls20
```

### Text only

```bash theme={null}
# Run the LangGraph agent (text-only)
uv run main.py --agent=langgraphtextonly --game=ls20
```

### Random Agent

Created by Anusheel Bhushan ([@anusheel](https://github.com/anusheel)), Burak Akkaya ([@bakkaya-plank](https://github.com/bakkaya-plank)), Sophia Willows ([@sophiabits](https://github.com/sophiabits)) of [Plank](https://www.joinplank.com/).

```bash theme={null}
# 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](https://github.com/anusheel)), Burak Akkaya ([@bakkaya-plank](https://github.com/bakkaya-plank)), Sophia Willows ([@sophiabits](https://github.com/sophiabits)) of [Plank](https://www.joinplank.com/).

```bash theme={null}
# Run the LangGraph thinking agent
uv run main.py --agent=langgraphthinking --game=ls20
```