How real projects summarise themselves for language models.
reticlehqllms.txtreticlehq/reticle/llms.txt
from the inside, without screenshots. It is a > dev-only SDK plus a local MCP server / CLI that reads **program truth** (network, state, console, > routing, animations, framework state, React source
CodeAbrallms.txtCodeAbra/iai-personal-memory-engine/llms.txt
PyPI. Repo: https://github.com/CodeAbra/iai-personal-memory-engine. Current release: 3.2.3. ## What it is - An MCP-over-stdio server plus a local background engine (called `daemon` in the CLI). - Storage, clustering (MOSAIC), hyperdimensional
MartinDelophyllms.txtMartinDelophy/ai-video-editor/public/llms-full.txt
STDIO MCP operate on project files. The website does not host a remote MCP or OAuth server. - Tool results can include project metadata, caption text and explicitly requested rendered media
MartinDelophyllms.txtMartinDelophy/ai-video-editor/public/llms.txt
Tools do not provide arbitrary URL imports, media upload, remote generation or a hosted MCP server. ## Citation guidance Use the canonical pages above for current product claims. Do not describe
promptise-comllms.txtpromptise-com/Foundry/llms-full.txt
node types, 18 flags, 7 prebuilt patterns, agent-assembled paths from a node pool), **MCP Server SDK** (FastAPI-style production servers with auth, middleware, queues), **Agent Runtime** (the operating system
promptise-comllms.txtpromptise-com/Foundry/llms.txt
PromptGraph` with 20 composable node types, 18 flags, 7 prebuilt patterns, agent-assembled paths), **MCP Server SDK** (FastAPI-style production servers with auth, middleware, queues, versioning, testing), **Agent Runtime
sirkirbyllms.txtsirkirby/unifi-mcp/docs/llms.txt
UniFi MCP > UniFi MCP is an open-source collection of local-first MCP servers and an independent HTTP API for controlled access to UniFi Network, Protect, and Access infrastructure. UniFi
santiferllms.txtsantifer/cv-santiago/public/llms.txt
Introduction to Model Context Protocol - **Anthropic (2026):** Claude Code in Action - **Anthropic (2026):** Advanced MCP Topics - **Anthropic (2026):** Building with the Claude API - **Anthropic (2026):** AI Fluency: Framework & Foundations — Anthropic
borgheillms.txtborghei/Claude-Skills/site/llms.txt
when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt... - [Mcp Server Builder](https://borghei.github.io/Claude-Skills/skills/engineering/mcp-server-builder.html): Build MCP (Model Context Protocol) servers with tool definitions, resource
duriantacollms.txtduriantaco/skylos/llms-full.txt
Benchmark section: https://github.com/duriantaco/skylos#skylos-vs-vulture-benchmark - FAQ: https://github.com/duriantaco/skylos#faq - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml - MCP server: https://github.com/duriantaco/skylos/tree/main/skylos_mcp - Package metadata: https://github.com/duriantaco/skylos/blob/main/pyproject.toml - Changelog: https://github.com/duriantaco/skylos/blob/main/CHANGELOG.md - Benchmark suite
duriantacollms.txtduriantaco/skylos/llms.txt
start: https://github.com/duriantaco/skylos#quick-start - Vulture benchmark: https://github.com/duriantaco/skylos#skylos-vs-vulture-benchmark - GitHub Action: https://github.com/duriantaco/skylos/blob/main/action.yml - MCP server: https://github.com/duriantaco/skylos/tree/main/skylos_mcp - Package metadata: https://github.com/duriantaco/skylos/blob/main/pyproject.toml - Changelog: https://github.com/duriantaco/skylos/blob/main/CHANGELOG.md - Benchmark suite
riponcmllms.txtriponcm/projectmem/llms.txt
events in plain text, feeds that history back to the agent through a native > MCP server, and warns at git commit time before you repeat an approach that > already failed
AVIDS2llms.txtAVIDS2/memorix/llms-full.txt
only when you intentionally want repo-local guidance, rules, or hooks for one project. ### MCP server `memorix serve` starts the stdio MCP server. Use it for manual MCP wiring when
AVIDS2llms.txtAVIDS2/memorix/llms.txt
memorix setup --list` lists supported agent entry points. - `memorix serve` starts the manual stdio MCP server for IDEs and agents. - `memorix background start` starts the HTTP MCP service and dashboard
unbrowse-aillms.txtunbrowse-ai/unbrowse/llms.txt
skill](https://github.com/unbrowse-ai/unbrowse-skill/blob/main/skill/SKILL.md): execution order, requirements, login handoffs and verified outcomes. - [MCP](https://github.com/unbrowse-ai/unbrowse-skill/blob/main/docs/mcp.md): remote server and workspace tools. - [CLI](https://github.com/unbrowse-ai/unbrowse-skill/blob/main/docs/cli.md): commands and exit codes
aeonfunllms.txtaeonfun/aeon/llms.txt
grammar to every harness. - [docs/mcp-oauth.md](https://raw.githubusercontent.com/aeonfun/aeon/main/docs/mcp-oauth.md): Durable dashboard OAuth for OAuth-gated MCP servers. - [docs/telegram-commands.md](https://raw.githubusercontent.com/aeonfun/aeon/main/docs/telegram-commands.md): The inbound Telegram command surface. ## Reference - [docs/help.md](https://raw.githubusercontent.com/aeonfun/aeon/main/docs/help.md):
GarethManningllms.txtGarethManning/education-agent-skills/llms.txt
architecture, usage, and domain table - [ARCHITECTURE.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/ARCHITECTURE.md): Three-layer system design and MCP server roadmap - [EXCLUSIONS.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/EXCLUSIONS.md): What was excluded and why (learning styles, VAK, unsupported
ronak-createllms.txtronak-create/FableCut/docs/llms.txt
local folder; nothing is uploaded to a cloud service. - Control surfaces: an MCP server (stdio, client-neutral), a REST API, and direct edits to `project.json` with live reload over server
RareSensellms.txtRareSense/Nova3D/mcp/llms.txt
NOVA3D_TOKEN` if you cannot complete the browser flow. Important: after installing the MCP server in any client, the next step is to call `nova3d_login` or `nova3d_setup` from
sandbaseaillms.txtsandbaseai/sandbase-harness/llms.txt
github.com/Zhiyuan-Fan/Awesome-DeepSeek-Harness-Plugins - Hermes Ecosystem — SandBase stack: https://github.com/ksimback/hermes-ecosystem/blob/main/projects/sandbaseai/cli.html - AgentStack: https://www.agentstack.live/mcp/io.github.sandbaseai/sandbase-harness - MCP Servers Live: https://linny006.github.io/mcp-servers-live/r/sandbaseai/sandbase-harness/ - DSH X-Ray: https://unstone.github.io/dsh-xray/p/sandbaseai__sandbase-harness.html - DSH Plugins: https://github.com/HackSing/dsh-plugins
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.
