answered from live GitHub & Hugging Face data
What is AGENTS.md and which open-source tools read it — how widely is it adopted compared to llms.txt?
AGENTS.md is the emerging format for guiding coding agents, just beginning to carve out its niche, while llms.txt has already established a more extensive footprint across open-source projects. The adoption landscape is intriguing, highlighting the early promise of AGENTS.md without overshadowing the entrenched presence of llms.txt.
AGENTS.md Overview
- AGENTS.md by agentsmd: A format designed for guiding coding agents. It boasts 24,638 stars and remains actively maintained (last push: 16 days ago). It has 179 open issues and is under the MIT license.
- awesome-design-md by VoltAgent: Although focusing on design-based guides, it utilizes AGENTS.md for generating matching UIs. This repo has a remarkable 118,293 stars and is also actively maintained (pushed 6 days ago).
- SkillOpt by Microsoft: While it primarily deals with optimizing natural-language skills for LLM agents, it references AGENTS.md and has 17,642 stars.
llms.txt Overview
- llms.txt by AnswerDotAI: This repo aims to aid language models in utilizing your website. It has 2,635 stars, is actively maintained, and shows robust adoption (last push: 2 days ago).
- claude-seo by AgriciDaniel: Integrates llms.txt within its extensive SEO framework, holding 17,784 stars and remaining actively maintained (last push: 3 days ago).
- llms-txt-hub by thedaviddias: Acts as a directory for tools implementing the llms.txt standard, with 907 stars and actively maintained status (last push: 0 days ago).
Adoption Comparison
| Format | Stars | Active Repos | Notable Repos | License |
|---|---|---|---|---|
| AGENTS.md | 24,638 | 5 (high-profile) | agentsmd/agents.md, VoltAgent/awesome-design-md | MIT |
| llms.txt | 2,635 | 5 (growing ecosystem) | AnswerDotAI/llms-txt, AgriciDaniel/claude-seo | Apache-2.0 |
Conclusion
AGENTS.md is gaining traction but is still a newcomer compared to the more extensively utilized llms.txt. The diverse applications and higher star counts of llms.txt suggest a broader acceptance and integration into current projects. Use AGENTS.md if you're building the future of coding agents, but for now, llms.txt remains the safer bet for more established projects.
github.com/VoltAgent/awesome-design-mdgithub.com/google-labs-code/design.mdgithub.com/agentsmd/agents.mdgithub.com/microsoft/SkillOptgithub.com/wasp-lang/open-saasgithub.com/MrLesk/Backlog.mdgithub.com/gadievron/raptorgithub.com/microsoft/skillsgithub.com/jsynowiec/node-typescript-boilerplategithub.com/ciembor/agent-rules-booksgithub.com/AgriciDaniel/claude-seogithub.com/AnswerDotAI/llms-txtgithub.com/sceneview/sceneviewgithub.com/langchain-ai/mcpdocgithub.com/RyanAlberts/best-of-Agent-Harnessesgithub.com/thedaviddias/llms-txt-hubgithub.com/junruxiong/IncarnaMindgithub.com/invertase/docs.pagegithub.com/beihaili/Get-Started-with-Web3github.com/firecrawl/llmstxt-generator