How real projects summarise themselves for language models.
AgentAnycastllms.txtAgentAnycast/agentanycast/llms.txt
Thin Python/TypeScript SDKs communicate with the daemon via gRPC over a Unix domain socket. Security: all peer connections use Noise_XX authenticated encryption. Each node has an Ed25519 identity
djadminllms.txtdjadmin/fort/landing/llms.txt
fort > fort is a free, open-source command-line tool that audits 15+ macOS security settings, explains every finding in plain English, and fixes what it safely
AsiaOstrichllms.txtAsiaOstrich/universal-dev-standards/llms.txt
Message Guide](https://github.com/AsiaOstrich/universal-dev-standards/blob/main/core/commit-message-guide.md): `commit-message-guide`, level 1 - [Container Image Build and Security Standards](https://github.com/AsiaOstrich/universal-dev-standards/blob/main/core/container-image-standards.md): `container-image-standards`, level 2 - [容器安全標準](https://github.com/AsiaOstrich/universal-dev-standards/blob/main/core/container-security.md): `container-security
HuckleR2003llms.txtHuckleR2003/PC_Workman_HCK/docs/llms-full.txt
apps.microsoft.com/detail/9PGW6WS2N50V - Signed ZIP releases: https://github.com/HuckleR2003/PC_Workman_HCK/releases - SourceForge history: https://sourceforge.net/projects/pc-workman-hck/ - Security report: https://pcworkman.dev/SECURITY_report.html - Source build: `python startup.py` - Tests: `python -m unittest discover tests` - PyInstaller build
HuckleR2003llms.txtHuckleR2003/PC_Workman_HCK/docs/llms.txt
/index_en.html) | [Polski](https://pcworkman.dev/) - Download: [English](https://pcworkman.dev/download/) | [Polski](https://pcworkman.dev/download/index_pl.html) - Security report: [English](https://pcworkman.dev/SECURITY_report.html) | [Polski](https://pcworkman.dev/SECURITY_report_pl.html) - Roadmap: [English](https://pcworkman.dev/roadmap/) | [Polski
trustablllms.txttrustabl/trustabl/llms.txt
open-source tool for AI agent reliability: it finds the > reliability, safety, and security defects in an agent codebase and > automatically fixes them. It discovers a repo's agent/tool inventory
StayCurious-Xuanllms.txtStayCurious-Xuan/wayfinder/website/llms.txt
采集、网络访问与数据删除 ## Source And Downloads - [GitHub repository](https://github.com/StayCurious-Xuan/wayfinder): Source code, README, issues, security policy, and public project history - [Current Early Access release](https://github.com/StayCurious-Xuan/wayfinder/releases/tag/alpha-v0.3.17): Apple Silicon, Intel
stuinflallms.txtstuinfla/ruvnet-brain/explainer/llms-full.txt
both and removes exact owned legacy callbacks while preserving foreign registrations and user security policy. The knowledge base downloads to `~/.cache/ruvnet-brain/kb` and is user-level — one brain, shared across every
ScraperNodellms.txtScraperNode/awesome-n8n-templates/public/llms-full.txt
# Awesome n8n Templates — Full Listing > https://scrapernode.github.io/awesome-n8n-templates > 8,697+ n8n workflow templates > Built
NirDiamantllms.txtNirDiamant/moltbook-agent-guard/llms.txt
Moltbook Agent Guard > A security-first toolkit for building and running AI agents on Moltbook, published as the Python package moltbook-toolkit. Provides real-time prompt-injection scanning, runtime guardrails
swimmwatchllms.txtswimmwatch/cloakbrowser-mcp/docs/llms.txt
Input Behavior: https://swimmwatch.github.io/cloakbrowser-mcp/humanized-input-behavior/ - CLI Reference: https://swimmwatch.github.io/cloakbrowser-mcp/generated/cli/ - Tools: https://swimmwatch.github.io/cloakbrowser-mcp/tools/ - Security: https://swimmwatch.github.io/cloakbrowser-mcp/security/ - FAQ: https://swimmwatch.github.io/cloakbrowser-mcp/faq/ ## Install The recommended local stdio command for most
VyomKulshresthallms.txtVyomKulshrestha/Heliox-OS/llms.txt
claim that every catalog model is a separately integrated backend. Consult the privacy and security documents before making data-handling claims. ## Start Here - [Project README](https://github.com/VyomKulshrestha/Heliox-OS/blob/main/README.md): Product overview
fastagent-shllms.txtfastagent-sh/fastagent/llms.txt
reference implementation architecture. - [Contributing](https://github.com/fastagent-sh/fastagent/blob/main/CONTRIBUTING.md): branch model, PR loop, and review tiers. - [Security policy](https://github.com/fastagent-sh/fastagent/security/policy): how to report a vulnerability
akutishevskyllms.txtakutishevsky/nutrition-mcp/public/llms.txt
rate limits, barcode lookups, export links, account deletion, and where to report bugs and security issues. - [Alternatives overview](https://nutrition-mcp.com/alternatives): How Nutrition MCP compares to popular nutrition-tracking apps
open-agent-ai-securityllms.txtopen-agent-ai-security/praxen/llms.txt
Codex > (community-marketplace instructions cover both harnesses), maintained by > the Open Agent and AI Security Community (Exabeam-sponsored). Praxen answers a governance question traditional AppSec and runtime guardrails
open-agreementsllms.txtopen-agreements/open-agreements/llms-full.txt
caps for physician assistants and APRNs, statutory carve-outs excluding security-guard (§ 31-50a), broadcast-employee (§ 31-50b), and homemaker-companion / home-health (§§ 20-681, 20-683) restraints
johnxiellms.txtjohnxie/awesome-code-docs/llms-full.txt
strong, extensibility, charmbracelet, native, workflows, flexible, providers, lsp, mcp, integrations, grade, controls ## Daytona Tutorial: Secure Sandbox Infrastructure for AI-Generated Code - Path: tutorials/daytona-tutorial - Index: https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/daytona-tutorial/README.md - Summary: Learn
johnxiellms.txtjohnxie/awesome-code-docs/llms.txt
Tutorial: Multi-Model Terminal Coding Agent with Strong Extensibility: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/crush-tutorial - Daytona Tutorial: Secure Sandbox Infrastructure for AI-Generated Code: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/daytona-tutorial - DeerFlow Tutorial: Open-Source Super Agent
modelstudioaillms.txtmodelstudioai/skills/skills/bailian-docs-llm-wiki/llms.txt
# 阿里云百炼文档 > 阿里云百炼是一站式大模型开发与应用平台 ## 模型使用指南 - **开始使用** - [什么是阿里云百炼](raw/model-user-guide/get-started-with-models/what-is-model-studio.md) - [首次调用千问API](raw/model-user-guide/get-started-with-models/first-api-call-to-qwen.md) - [动态限流](raw/model-user-guide/get-started-with-models/quota-management.md) - [选择模型](raw/model-user-guide/get-started-with-models/models.md) - [限流](raw/model-user-guide/get-started-with-models/rate-limit.md
dearlordylordllms.txtdearlordylord/huly-mcp/site/llms.txt
Drive, inventory, labels, leads, mail, templates, model administration, Planner, preferences, processes, recruiting, SDK discovery, security administration, sequence administration, spaces, support, tag categories, tags, task management, test management, user statuses, views
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.
