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# An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI

**[Towards Data Science](https://daily.dev/sources/tds)** · 16 min read · 2 upvotes · 0 comments

## Summary

OSA (Open Source Advisor) is an open-source Python tool that uses LLM-powered multi-agent workflows to automatically improve open-source repositories. It generates README files (including article-style READMEs for scientific repos), adds docstrings and MkDocs-based documentation, sets up CI/CD workflows for GitHub and GitLab, and creates contribution guidelines. Users can run it via CLI or a web GUI, choosing from basic, auto, or advanced modes. The tool supports OpenAI, OpenRouter, and local models like Ollama. A real-world example shows a repository's OpenSSF Scorecard rising from 2.2 to 3.7 after OSA processing. Future plans include RAG-based comparison against best-practice repositories and multi-language support.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/an-end-to-end-guide-to-beautifying-your-open-source-repo-with-agentic-ai/>

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---

Tags: [#python](https://daily.dev/tags/python), [#open-source](https://daily.dev/tags/open-source), [#cicd](https://daily.dev/tags/cicd), [#agentic-ai](https://daily.dev/tags/agentic-ai)

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