ArtificialAnalysis/Stirrup
A lightweight Python framework providing a foundation template for building AI agents with built-in best practices and tools.
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Stirrup is a lightweight framework for building AI agents. It provides a starting template or package that incorporates best practices from leading agents like Claude Code and Codex, including context management and foundational tools such as code execution in Docker or E2B sandboxes, web browsing, and MCP client support. The framework lets models choose their own approach to tasks rather than imposing rigid workflows.
Frequently asked
- What is ArtificialAnalysis/Stirrup?
- A lightweight Python framework providing a foundation template for building AI agents with built-in best practices and tools.
- Is Stirrup open source?
- Yes — ArtificialAnalysis/Stirrup is open source, released under the MIT license.
- What language is Stirrup written in?
- ArtificialAnalysis/Stirrup is primarily written in Python.
- How popular is Stirrup?
- ArtificialAnalysis/Stirrup has 516 stars on GitHub.
- Where can I find Stirrup?
- ArtificialAnalysis/Stirrup is on GitHub at https://github.com/ArtificialAnalysis/Stirrup.