How real projects summarise themselves for language models.
koreainvestmentllms.txtkoreainvestment/open-trading-api/llms.txt
production environments, API credentials (App Keys/Secrets) and account settings. - [System Requirements & Setup](README.md): Main documentation including setup instructions. The project requires Python 3.11+ and recommends using the `uv` package manager
mnemox-aillms.txtmnemox-ai/tradememory-protocol/llms.txt
Claude Code claude mcp add tradememory -- uvx tradememory-protocol ### pip pip install tradememory-protocol ## Documentation - [README](https://github.com/mnemox-ai/tradememory-protocol#readme): Full documentation with architecture diagrams. - [PyPI](https://pypi.org/project/tradememory-protocol/): Install
mbaileyllms.txtmbailey/voicemode/llms.txt
development with GitHub Copilot, and APIs (REST and GraphQL) for automation and integration. GitHub documentation is available at https://docs.github.com. The content covers GitHub.com (cloud), GitHub Enterprise Server, and GitHub
sceneviewllms.txtsceneview/sceneview/llms.txt
# SceneView > Declarative 3D and AR SDK for Jetpack Compose (Filament, ARCore), SwiftUI (RealityKit, ARKit
sipyourdrink-ltdllms.txtsipyourdrink-ltd/bernstein/docs/llms-full.txt
needs the install's audit key. Air-gap install profile included. > Apache-2.0. This document is the long-form `llms-full.txt` variant per the llms.txt spec (<https://llmstxt.org/>). It expands
sipyourdrink-ltdllms.txtsipyourdrink-ltd/bernstein/docs/llms.txt
already trust. Enable `--audit` for an HMAC-signed audit trail on top. ## Core Documentation - [Getting Started](https://docs.bernstein.run/getting-started/install/): Install, configure, run first orchestration in 60 seconds - [Architecture & Concepts
ksimbackllms.txtksimback/hermes-ecosystem/llms-full.txt
Developer Tools & Utilities](#developer-tools--utilities) 10. [Domain Applications](#domain-applications) 11. [Guides & Documentation](#guides--documentation) 12. [Ecosystem Resources](#ecosystem-resources) --- ## Core & Official The foundational repos maintained by Nous Research
Microsoftllms.txtmicrosoft/winappCli/llms.txt
index it without scraping the repository layout - [Usage Guide](https://github.com/microsoft/WinAppCli/blob/main/docs/usage.md): Full documentation for humans - [Debugging Guide](https://github.com/microsoft/WinAppCli/blob/main/docs/debugging.md): `winapp run` vs `create-debug-identity`, IDE setup
MongoDBllms.txtmongodb/kingfisher/docs-site/docs/llms.txt
agent workflows: `kingfisher scan --format toon --no-update-check`. ## Start Here - [Documentation index](https://mongodb.github.io/kingfisher/reference/documentation-index/) - [Installation](https://mongodb.github.io/kingfisher/getting-started/installation/) - [Basic scanning](https://mongodb.github.io/kingfisher/usage/basic-scanning/) - [Platform integrations](https://mongodb.github.io/kingfisher/usage/integrations/)
aklofasllms.txtaklofas/kicad-happy/llms.txt
SPICE simulation, thermal analysis, component sourcing (DigiKey/Mouser/LCSC/element14), BOM management, manufacturing prep (JLCPCB/PCBWay), and professional documentation generation. Install: `/plugin marketplace add aklofas/kicad-happy` (Claude Code), `agy plugin install kicad-happy` after cloning
NVIDIAllms.txtNVIDIA/cuda-quantum/llms.txt
latest/using/install/install.md) - [Integration](latest/using/integration/integration.md) - [Extending](latest/using/extending/extending.md) - [Specifications](latest/specification/index.md) - [llms-full.txt](latest/llms-full.txt): Full concatenated content of this documentation
fastcrwllms.txtfastcrw/crw/docs/llms-full.txt
REST endpoint returns links unbounded up to the requested limit.) "sitemaps" lists the sitemap documents that were fetched and parsed during discovery (robots.txt declarations, the well-known fallback paths
fastcrwllms.txtfastcrw/crw/docs/llms.txt
Documentation > CRW is a high-performance web scraper for agents and developer workflows. Start with one `scrape` request, then branch into `crawl`, `map`, `search`, extraction, or MCP as needed. Source
NirDiamantllms.txtNirDiamant/Agent_Memory_Techniques/llms.txt
limitations, and a per-technique architecture diagram. The repository is licensed Apache 2.0. ## Core Documents - [README](https://github.com/NirDiamant/Agent_Memory_Techniques/blob/main/README.md): Project overview, decision tree, learning paths, full technique index, and quick
hoangsonwwllms.txthoangsonww/Claude-Code-Agent-Monitor/llms.txt
Modular structure: clear separation of concerns across `server/`, `client/`, `mcp/`, and `scripts/` directories. - Comprehensive documentation: detailed Markdown files covering installation, setup, architecture, API, hooks, database schema, MCP integration, plugins, deployment
RyanAlbertsllms.txtRyanAlberts/best-of-Agent-Harnesses/llms.txt
# Best of Agent Harnesses > Hand-curated, ranked list of 167 AI agent harnesses — the
asheshgoplanillms.txtasheshgoplani/agent-deck/llms-full.txt
Agent Deck - Complete Documentation for AI Assistants This file contains complete documentation for AI/LLM consumption. **Discord:** https://discord.gg/e4xSs6NBN8 --- # README # Agent Deck **Your AI agent command center** [: overview, installation, feature highlights - [AGENTS.md
agentic-communityllms.txtagentic-community/mcp-gateway-registry/docs/llms.txt
reusable modules) | | `tests/` | **Test Suite** - pytest unit, integration, E2E tests | `conftest.py`, `unit/`, `integration/` | | `docs/` | **Documentation** - Architecture, guides, design docs | `llms.txt` (this file), `design/` (architecture) | | `cli/` | **Command-Line Tools** - MCP client
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
