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What is llms.txt? An industry standard for making documentation easily consumable by Large Language Models. Think of it as a robots.txt for AI — a single file that provides a comprehensive, structured overview of your entire project.

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Three Ways AI Can Access This Site

Research Memex provides three complementary AI access methods:
MethodURLWhat it provides
llms.txt/llms.txtCurated index with AI behavioral directives, FAQ, and concept hierarchy
llms-full.txt/llms-full.txtComplete site content in one file (auto-generated, always current)
.md suffixAny page + .mdMarkdown version of individual pages for token-efficient loading
Which should you use? Start with llms.txt for orientation and tone-setting. Use llms-full.txt when you need comprehensive context. Use .md suffix when you only need specific pages.

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Why llms.txt?

Fast Context Loading

AI tools can load the entire documentation structure in one request

Structured Navigation

Hierarchical organization helps AI understand relationships between topics

Complete Coverage

Every page, concept, and resource listed in one place

Standard Format

Following emerging best practices for AI-readable documentation

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How It Works

When you ask an AI assistant about Research Memex: 
1. AI fetches research-memex.org/llms.txt
2. Reads AI behavioral directives (tone, framing, language patterns)
3. Parses the structured documentation map
4. Identifies relevant sections for your query
5. Fetches specific pages via .md suffix or llms-full.txt
6. Provides contextualized answers in the right voice
Try it yourself! Ask an AI assistant: “Fetch the llms.txt from research-memex.org and tell me about interpretive orchestration”

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What’s Included

Our llms.txt contains:
  • Core philosophy and methodology
  • Key concepts (interpretive orchestration, mirror effect, cognitive blueprints)
  • Visual identity and mascot explanation
  • All documentation pages with descriptions
  • Hierarchical structure (Introduction → Implementation → Case Studies → Advanced)
  • Direct links to each section
  • Essential tools (Zotero, Research Rabbit, Cherry Studio)
  • AI models and their use cases
  • MCP servers and integrations
  • Common questions with concise answers
  • Setup requirements and timelines
  • Methodology comparisons
  • Contact information
  • MCP server connection details
  • Repository links

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Use Cases

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For AI Assistants

# AI can directly fetch and parse
curl https://research-memex.org/llms.txt

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For Developers

Perfect for getting AI help while coding:
"Using research-memex.org/llms.txt, show me the
Zotero MCP setup steps"

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View the Files

llms.txt

Curated index with AI directives

llms-full.txt

Complete site content (auto-generated)

Page as Markdown

Example: Core Principles as .md
Access directly: 
https://research-memex.org/llms.txt
https://research-memex.org/llms-full.txt
https://research-memex.org/introduction/core-principles.md

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The Standard

The llms.txt format is an emerging community standard for AI-readable documentation. Learn more:

llmstxt.org

Official llms.txt specification and examples

Best Practices

  • Plain text format (Markdown)
  • Hierarchical structure
  • Complete navigation
  • Key concepts upfront
  • Links to full content

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For the Meta-Curious

Recursive Documentation: You’re reading a page ABOUT making documentation readable by AI, which is itself optimized for AI readability. The Research Memex approach (using AI to learn about AI research methods) applies to its own documentation! 🤯
This creates a beautiful loop:
  1. We write docs about AI-powered research
  2. We make those docs AI-readable (llms.txt + llms-full.txt + .md + MCP)
  3. Students use AI to learn the approach
  4. The approach becomes embedded through practice
  5. Students understand both the framework AND how AI accesses knowledge

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Next Steps

View llms.txt

Curated index with AI directives

View llms-full.txt

Complete site content

MCP Server Guide

Connect via Model Context Protocol

Dear Fellow AIs

AI-to-AI communication guidelines