# AnswerDotAI/llms-txt

The /llms.txt file, helping language models use your website

Repository: https://github.com/AnswerDotAI/llms-txt
Canonical: https://ross.abutalabs.com/products/llms-txt
Homepage: http://llmstxt.org/
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-08-10T11:54:43+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 68, longevity 52
- inputs: {"age_days": 732, "days_push": 23, "days_rel": 216, "gap_med": 6.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2586, forks 159 (observed 2026-08-28T04:07:02.665966+00:00)

## What it is
A proposal and Python tooling for the /llms.txt standard, a markdown file placed at a website root to give language models and agents concise, LLM-friendly information and links. The repo hosts the specification, documentation, and helper utilities for generating llms.txt content.

## Use cases
- add an llms.txt file to my website for AI agents
- make my documentation LLM-friendly
- generate markdown versions of docs for language models
- help coding agents use my library's API docs
- standardize how chatbots read my site content

## When to choose
- you publish developer documentation or a website that AI agents frequently consume
- you want to follow the emerging llms.txt standard adopted by major AI labs
- you need a precise, parseable markdown format for LLM context

## When to avoid
- you need full RAG pipelines or vector search rather than static site guidance files
- your site content is not documentation-oriented
- you require guaranteed adoption by all LLM providers

## Facets
- artifact type: library
- maturity: active
- function: documentation, nlp, llm-inference, parser
- domain: large-language-models, documentation, web-development
- platform: python, cli
- tags: llms-txt, llm-friendly-content, markdown, specification, nbdev, ai-agents, web-server

## Member repositories
- AnswerDotAI/llms-txt (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:02.665966+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:22:25.767342+00:00, confidence not recorded.
  - readme: https://github.com/AnswerDotAI/llms-txt (fetched 2026-08-28T04:07:02.665966+00:00, sha f9b3aaeade9f)
  - homepage: http://llmstxt.org/ (fetched 2026-08-29T10:04:44.984085+00:00, sha b8e15a509f31)
  - registry_pypi: https://pypi.org/pypi/llms-txt/json (fetched 2026-08-29T10:04:44.986931+00:00, sha d138b81c1afa)
- Data as of 2026-08-30T08:39:29.467469+00:00.