> ## Documentation Index
> Fetch the complete documentation index at: https://art.openpipe.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# ART Notebooks

> Use ART to train agents for many different tasks.

<div className="full-width">
  | Agent Task              | Notebook                                                                                                                                | Description                                        | Performance                                                                                                                                                                                                                                                        |
  | ----------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
  | **ART•E \[Serverless]** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/art-e.ipynb)                       | Qwen3 14B learns to search emails using RULER      | <a href="https://github.com/OpenPipe/ART/blob/main/dev/art-e/art_e/evaluate/display_benchmarks.ipynb">  <img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a>   |
  | **2048 \[Serverless]**  | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb)                   | Qwen3 14B learns to play 2048                      | <a href="https://github.com/OpenPipe/ART/blob/main/examples/2048/display_benchmarks.ipynb">  <img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a>                     |
  | **ART•E LangGraph**     | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/langgraph/art-e-langgraph.ipynb)   | Qwen2.5 7B learns to search emails using LangGraph | \[Link coming soon]                                                                                                                                                                                                                                                |
  | **MCP•RL**              | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/mcp-rl/mcp-rl.ipynb)               | Qwen2.5 3B masters the NWS MCP server              | \[Link coming soon]                                                                                                                                                                                                                                                |
  | **Temporal Clue**       | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen2.5 7B learns to solve Temporal Clue           | \[Link coming soon]                                                                                                                                                                                                                                                |
  | **Tic Tac Toe**         | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb)     | Qwen2.5 3B learns to play Tic Tac Toe              | <a href="https://github.com/OpenPipe/ART/blob/main/examples/tic_tac_toe/display-benchmarks.ipynb">  <img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
  | **Codenames**           | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb)      | Qwen2.5 3B learns to play Codenames                | <a href="https://github.com/OpenPipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb">  <img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" width="72" style={{margin: "0"}} /></a>               |
  | **AutoRL \[RULER]**     | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/auto_rl.ipynb)                     | Train Qwen2.5 7B to master any task                | \[Link coming soon]                                                                                                                                                                                                                                                |
</div>