What is llms.txt? A proposed 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.About This File
The Research Memex documentation includes an llms.txt file at the root of our site, making it easy for AI assistants to quickly understand and navigate our approach.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
How It Works
When you ask an AI assistant about Research Memex:Try it yourself! Ask an AI assistant: “Fetch the llms.txt from research-memex.org and tell me about interpretive orchestration”
What’s Included
Our llms.txt contains:Project Overview
Project Overview
- Core philosophy and methodology
- Key concepts (interpretive orchestration, mirror effect, cognitive blueprints)
- Visual identity and mascot explanation
Complete Navigation
Complete Navigation
Tools & Stack
Tools & Stack
- Essential tools (Zotero, Research Rabbit, Cherry Studio)
- AI models and their use cases
- MCP servers and integrations
Frequently Asked Questions
Frequently Asked Questions
- Common questions with concise answers
- Setup requirements and timelines
- Methodology comparisons
Meta Information
Meta Information
- Contact information
- MCP server connection details
- Repository links
Use Cases
For AI Assistants
For Developers
- Quick Reference
- Integration
- Learning
Perfect for getting AI help while coding:
View the Full File
View llms.txt
See the complete AI-readable documentation summary
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
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! 🤯
- We write docs about AI-powered research
- We make those docs AI-readable (llms.txt + MCP)
- Students use AI to learn the approach
- The approach becomes embedded through practice
- Students understand both the framework AND how AI accesses knowledge