Stirrup

<div align="center"> <a href="https://stirrup.artificialanalysis.ai"> <picture> <img alt="Stirrup" src="https://github.com/ArtificialAnalysis/Stirrup/blob/048653717d8662b0b81d152a037995af1c926afc/assets/stirrup-banner.png?raw=true" width="700"> </picture> </a> <br></br> <h1>The lightweight foundation for building agents</h1> <br> </div> <p align="center"> <a href="https://pypi.python.org/pypi/stirrup"><img src="https://img.shields.io/pypi/v/stirrup" alt="PyPI version" /></a>&nbsp;<!-- --><a href="https://github.com/ArtificialAnalysis/Stirrup/blob/main/LICENSE"><img src="https://img.shields.io/github/license/ArtificialAnalysis/Stirrup" alt="License" /></a>&nbsp;<!-- --><a href="https://stirrup.artificialanalysis.ai"><img src="https://img.shields.io/badge/MkDocs-4F46E5?logo=materialformkdocs&logoColor=fff" alt="MkDocs" /></a> </p>

Stirrup is a lightweight framework, or starting point template, for building agents. It differs from other agent frameworks by:

• Working with the model, not against it: Stirrup gets out of the way and lets the model choose its own approach to completing tasks (similar to Claude Code). Many frameworks impose rigid workflows that can degrade results.
• Best practices and tools built-in: We analyzed the leading agents (Claude Code, Codex, and others) to understand and incorporate best practices relating to topics like context management and foundational tools (e.g., code execution).
• Fully customizable: Use Stirrup as a package or as a starting template to build your own fully customized agents.

Note: This is the Python implementation, StirrupJS is the Typescript implementation.

Features

• 🧪 Code execution: Run code locally, in Docker, or in an E2B sandbox