# RepoSwarm

> RepoSwarm is open-source (Apache-2.0) multi-repo architecture discovery for AI coding agents: it generates standardized .arch.md files per repository and commits them to one results hub repository.

A one-page answer to the question "How do you give AI coding agents context across multiple repositories?": what RepoSwarm produces, supported git providers and model backends, prerequisites, a real output example, limitations, and a dated comparison with other tools. RepoSwarm was co-created by Roy Osherove; this is not an independent review.

Licensed under CC BY 4.0 — reuse, quote and adapt with attribution (Roy Osherove, link to the original page). License: https://creativecommons.org/licenses/by/4.0/

About the author: Roy Osherove — Senior Solutions Architect at AWS working on AI for production and AI-driven development; author of The Art of Unit Testing and Elastic Leadership, with about 20 years of consulting and training on unit testing, TDD, team leadership and continuous delivery. More: https://reposwarm.ai/about-roy.md (sites, social links, contact).

Every page listed below is plain Markdown (YAML front matter: title, canonical URL, dates, tags, author, license). The full text of every page is in https://reposwarm.ai/llms-full.txt.

## Key Pages

- [Home: How do you give AI coding agents context across multiple repositories?](https://reposwarm.ai/index.md): Site overview: every page and post with a short description and its Markdown link.

## Optional

- [Full text](https://reposwarm.ai/llms-full.txt): all 1 pages in one Markdown file
- [About Roy Osherove](https://reposwarm.ai/about-roy.md): bio, sites, social links and contact
- [Sitemap](https://reposwarm.ai/sitemap.xml): every HTML page (XML sitemap)