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IgnisDaIgnisDa/ryot/AGENTS.md

ryot

AGENTS.md3.7k starsChanged 4 months agoGPL-3.0View on GitHub

This file contains coding conventions, workflows, and best practices for AI agents working on the Ryot project. Follow these guidelines to maintain code quality and consistency. Use tools from the…

Trending

Quiet since September.about the whole repository

Dec 2025: 2 mentionsJan 2026: 2 mentionsFeb 2026: 1 mentionMar 2026: 1 mentionApr 2026: 1 mentionMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 2 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the IgnisDa/ryot repository that our weekly crawl found. There is no adoption data for this file yet.

Who's talking about IgnisDa/ryot

The biggest 5 of 47 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 47

Talked about on GitHub, Hacker News and Bluesky (47 times).

On GitHub · 42

37 more on GitHub

On Bluesky · 2

  • Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.

    Of the AGENTS.md files we read, the 31,439 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.

The file

Show its rules and text

We split this AGENTS.md into the rules it gives an agent

21 rules. About 0 are common, 16 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈16

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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