How real projects summarise themselves for language models.
Supabasellms.txtsupabase/supabase/apps/learn/public/llms.txt
supabase.com/ui/docs/getting-started/faq) - Frequently asked questions - [Introduction](https://supabase.com/ui/docs/getting-started/introduction) - A flexible, open-source, React-based UI component library built on shadcn/ui, designed to simplify Supabase-powered projects with pre-built
Microsoftllms.txtmicrosoft/ai-agents-for-beginners/15-browser-use/llms.txt
create a simple type-safe `fetch` client, but you can also use other generators. * React Query - [https://openapi-ts.dev/openapi-react-query/](https://openapi-ts.dev/openapi-react-query/) * SWR - [https://openapi-ts.dev/swr-openapi/](https://openapi-ts.dev/swr-openapi/) ```bash npm npm install openapi-fetch
mem0aillms.txtmem0ai/mem0/docs/llms.txt
Features - Integration & Ops - [Webhooks](https://docs.mem0.ai/platform/features/webhooks) [Platform]: Use when another system needs to react to memory changes in real time. - [Feedback Mechanism](https://docs.mem0.ai/platform/features/feedback-mechanism) [Platform]: Use when capturing
Evil0ctalllms.txtEvil0ctal/Douyin_TikTok_Download_API/llms.txt
third party. Built with Python 3.12, FastAPI, PostgreSQL + TimescaleDB and Redis; the console is React. It fetches posts, authors, comments, mixes and search from both platforms, downloads video and image
tonhowtfllms.txttonhowtf/omniget/llms-full.txt
address in **Settings → World → Room server**. **The pet.** A floating Omni reacts to what the agents do, including Claude Code or Codex running in a terminal outside
corsairdevllms.txtcorsairdev/corsair/docs/llms.txt
route, read synced data in a server function or loader, and connect tenants with React hooks. - [Node.js](https://docs.corsair.dev/frameworks/node.md): Mount on a bare node:http server with toNodeHandler
anbeimellms.txtanbeime/skill/public/llms-full.txt
本技能商店收录了来自以下顶级团队的官方技能： - **Anthropic** (17个) - docx, pptx, xlsx, pdf, mcp-builder, webapp-testing 等 - **Vercel** (7个) - react-best-practices, next-best-practices, composition-patterns 等 - **Cloudflare** (7个) - agents-sdk, durable-objects, wrangler
builderz-labsllms.txtbuilderz-labs/mission-control/public/llms.txt
based access control (viewer, operator, admin) - REST API with OpenAPI spec ## Stack Next.js 16, React 19, TypeScript 5, SQLite (better-sqlite3), Tailwind CSS ## Links - Source: https://github.com/builderz-labs/mission-control - Landing page
tinyplexllms.txttinyplex/tinybase/docs/llms-full.txt
create tinybase@latest -- \ --non-interactive \ --projectName my-tinybase-app \ --appType todos \ --language typescript \ --framework react \ --tinyWidgets false \ --schemas true \ --syncType none \ --persistenceType local-storage \ --prettier true \ --eslint true \ --installAndRun false
tinyplexllms.txttinyplex/tinybase/docs/llms.txt
value data, optional schemas, indexes, relationships, queries, persistence, CRDT synchronization, and UI bindings for React, Solid, and Svelte. It has no runtime dependencies. Use TinyBase when an app needs
melgarafaelllms.txtmelgarafael/DeskcommCRM/public/llms.txt
LGPD by design (redact, data_request, anonymization), append-only audit log - Stack: Next.js 16, React 19, TypeScript, Supabase (Postgres + Auth + Realtime + Storage), Vercel AI SDK, WAHA - License: MIT. Fully self
OvidijusParsiunasllms.txtOvidijusParsiunas/deep-chat/llms.txt
Deep Chat - LLM Reference Web component (`deep-chat`) and React wrapper (`deep-chat-react`) for AI chat interfaces. ## Installation ```bash npm install deep-chat npm install deep-chat-react ``` ## Connection
LangChainllms.txtlangchain-ai/langgraphjs/docs/docs/llms.txt
structured format](https://docs.langchain.com/oss/javascript/langgraph/how-tos/respond-in-format/) - [How to manage agent steps](https://docs.langchain.com/oss/javascript/langgraph/how-tos/managing-agent-steps/) ### Prebuilt ReAct Agent - [How to create a ReAct agent](https://docs.langchain.com/oss/javascript/langgraph/how-tos/create-react-agent/) - [How to add memory
glinckerllms.txtglincker/thesvg/public/llms-full.txt
only | Color + wordmark | Mono only | | npm package | Yes | Yes | No (copy-paste SVG) | Yes | | React / Vue / Svelte components | Yes, all three | React: community wrapper only
glinckerllms.txtglincker/thesvg/public/llms.txt
icon supports multi-variant rendering (color, mono, light, dark, wordmark). Available as npm packages, React components, CLI, REST API, CDN, and MCP server. ## Why theSVG (vs Simple Icons, svgl, Iconify
Lumiwealthllms.txtLumiwealth/lumibot/llms-full.txt
# Lumibot Documentation (Compiled) # Generated: 2026-09-13T21:04:40Z ===== MIGRATING_FROM_BACKTRADER ===== Migrating
Microsoftllms.txtmicrosoft/WhatTheHack/068-AzureOpenAIApps/Student/Resources/data/mcp-info/llms-full.txt
resources, and prompts in Neovim | | [MCPOmni-Connect][MCPOmni-Connect] | ✅ | ✅ | ✅ | ❓ | ✅ | ❌ | ❓ | Supports tools with agentic mode, ReAct, and orchestrator capabilities. | | [Memex][Memex] | ✅ | ✅ | ✅ | ❓ | ❌ | ❌ | ❓ | Support tools. Also support *building and testing* MCP server
Vercelllms.txtvercel-labs/dev3000/www/llms.txt
Environment (`src/dev-environment.ts`)** - Orchestrates dev server + browser monitoring - Works with any web framework (Next.js, Vite, React, etc.) - Port management (defaults: 3000 for app) - Chrome profile management and unified logging 3. **Browser
sceneviewllms.txtsceneview/sceneview/llms.txt
Jetpack Compose (Filament, ARCore), SwiftUI (RealityKit, ARKit) and the web (Filament.js, WebXR), with Flutter, React Native and Compose Multiplatform bridges and shared core logic via Kotlin Multiplatform. This file
ksimbackllms.txtksimback/hermes-ecosystem/llms-full.txt
# Hermes Atlas — Full Context Bundle > Complete content of hermesatlas.com as of 2026-09-28
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.
