How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
fluffyponyPipes a download into a shellllms.txtfluffypony/dothething/llms.txt
working until the job is finished. It handles research, analysis, report writing, data extraction, document processing, and system administration. Licensed under BSD 3-Clause. dothething routes all model calls through
fscorruptllms.txtfscorrupt/posterizarr/docs/llms.txt
multi-process lifecycle, run modes, database schemas, rendering engine, REST endpoints, and conventions. ## Core Documentation & Deployment - [Requirements](https://fscorrupt.github.io/posterizarr/requirements/): Host prerequisites including ImageMagick 7, PowerShell 7+, Python 3.13, memory
AVIDS2Reads credentialsllms.txtAVIDS2/memorix/llms-full.txt
Memorix - Full AI-Facing Documentation Summary > Local-first shared memory layer for AI coding agents. Memorix is a TypeScript/Node.js project that gives AI coding agents persistent, project-aware memory
open-webuillms.txtopen-webui/docs/static/llms.txt
Open WebUI Docs Open WebUI documentation is available as regular HTML and raw Markdown. Start at https://docs.openwebui.com/sitemap.xml to discover pages. For any docs page, append `.md` for Markdown
CodeAbrallms.txtCodeAbra/iai-personal-memory-engine/llms.txt
install --with-tools` from a source checkout. See [docs/DEPLOYMENT.md](docs/DEPLOYMENT.md). ## Docs - [README.md](README.md): full documentation, English. - [README_zh-CN.md](README_zh-CN.md): Chinese. - [CHANGELOG.md](CHANGELOG.md): release history. - [docs/DEPLOYMENT.md](docs/DEPLOYMENT.md): deployment. - [docs/EMBEDDERS.md](docs/EMBEDDERS.md): swappable embedders
pnpllms.txtpnp/powershell/pages/llms.txt
Teams, Microsoft Planner, Microsoft Power Platform, Microsoft Entra, Microsoft Purview, and Microsoft Search. This documentation site is the canonical public reference for installing, authenticating, and using PnP PowerShell cmdlets. ## Start
unbrowse-aiReads credentialsllms.txtunbrowse-ai/unbrowse/llms.txt
breaks (the CLI prints "This looks like a bug in Unbrowse", a 5xx, a documented flag or exit code that misbehaves), follow the `unbrowse-contribute` skill: `unbrowse bug` writes
kinopio-clubllms.txtkinopio-club/kinopio-client/public/llms.txt
builds spatial memory. ## What it is not Not a structured diagramming tool. Not a document editor or database. No AI generation. ## Common Use Cases - you need to connect and organize
cryxnetReads credentialsllms.txtcryxnet/DeepMCPAgent/llms-full.txt
every agent - [Public API Index](reference/public-api.md): Every name Promptise exports, and the page that documents it - [Environment Variables](reference/environment-variables.md): Every variable Promptise reads or sets ================================================================================ Page: Quick Start: Build Your
cryxnetReads credentialsllms.txtcryxnet/DeepMCPAgent/llms.txt
Docs: Build AI Agents and MCP Servers in Python](https://docs.promptise.com/): Promptise Foundry documentation: build AI agents, MCP servers and autonomous agent runtimes in Python, with quickstarts, guides
ningbainbllms.txtningbainb/deepseek-harness-desktop/website/llms.txt
sandbox. Feedback, translation, automatic updates and project-layout scanning default off. Translation may send documents to a selected model and incur costs; feedback may create a public GitHub Issue. Managed
duriantacoReads credentialsllms.txtduriantaco/skylos/llms-full.txt
skylos agent scan . --changed` - LLM app defense: `skylos defend .` ## Official links - Website: https://skylos.dev - Documentation: https://docs.skylos.dev - GitHub: https://github.com/duriantaco/skylos - PyPI: https://pypi.org/project/skylos/ - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml
duriantacoReads credentialsllms.txtduriantaco/skylos/llms.txt
metadata: https://github.com/duriantaco/skylos/blob/main/pyproject.toml - Changelog: https://github.com/duriantaco/skylos/blob/main/CHANGELOG.md ## Best official pages - Website: https://skylos.dev - Documentation: https://docs.skylos.dev - GitHub: https://github.com/duriantaco/skylos - PyPI: https://pypi.org/project/skylos/ - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml
hackclubllms.txthackclub/hcb/public/llms.txt
commits from 50+ contributors. Stack includes Rails, PostgreSQL, Stripe, Column, and Twilio. - [Developer documentation](https://github.com/hackclub/hcb/tree/main/dev-docs): Setup instructions, code style, testing, OAuth flows, and contribution guidelines. Supports GitHub Codespaces
MageByte-Zerollms.txtMageByte-Zero/spec-superflow/llms.txt
reason ` - `ssf isolate [--worktree]` - `ssf resume [dir]` - `ssf validate ` - `ssf sync ` - `ssf finish ` ## Key documents - README.md: Chinese v2 overview and usage - docs/README_en.md: English v2 overview and usage - INSTALL.md: installation
MetaMaskllms.txtMetaMask/metamask-docs/static/llms.txt
MetaMask developer documentation > MetaMask is the leading self-custodial cryptocurrency wallet and Web3 gateway, enabling developers to build dapps that connect to the MetaMask browser extension and mobile app across
santiferllms.txtsantifer/cv-santiago/public/llms.txt
logged decisions, 31 distilled lessons), on ~4 human hours a week. Includes one fully documented maintenance day (July 2, 2026), six named patterns (orchestrator agent, ephemeral verifier, grounded watcher, compound
aelassasDeletes or force-pushesllms.txtaelassas/wexflow/llms-full.txt
Wexflow - Full Documentation Context > Auto-generated full documentation context compiled from the Wexflow Wiki. > Generated on: 2026-10-24T17:16:02Z --- # Document: Android App > Source: https://github.com/aelassas/wexflow/wiki/Android-App
aelassasllms.txtaelassas/wexflow/llms.txt
License - **Tech Stack**: .NET 9.0, C#, React, HTML5, CSS3, Docker, NuGet > **Full Text Documentation:** For full-text concatenated markdown documentation, see [llms-full.txt](https://wexflow.github.io/llms-full.txt). ## Key Capabilities - **Workflow Engine**: Supports
amaiyallms.txtamaiya/onprem/nbs/llms.txt
models on non-public data ## Modules - `onprem.workflow.convenience`: Convenience functions for workflow execution. - `onprem.workflow.document_transformers`: Document transformer node implementations for workflow pipelines. - `onprem.workflow.engine`: Workflow execution engine. - `onprem.workflow.exporters`: Exporter node implementations
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.
