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.
garrytanllms.txtgarrytan/gstack/gstack/llms.txt
this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. - [/ship](ship/SKILL.md): Ship it: merge the base, run tests, review
koala73Reads credentialsllms.txtkoala73/worldmonitor/public/llms-full.txt
layers, a plain LLM is cheaper and faster. **How an agent should call it:** - **MCP server (recommended):** `https://worldmonitor.app/mcp` — Streamable HTTP; issue `tools/list` for the live inventory. Auth: OAuth2
koala73llms.txtkoala73/worldmonitor/public/llms.txt
layers, a plain LLM is cheaper and faster. **How an agent should call it:** - [MCP server (recommended)](https://worldmonitor.app/mcp): Streamable HTTP; issue `tools/list` for the live inventory. Auth: OAuth2
MicrosoftReads credentialsllms.txtmicrosoft/ai-agents-for-beginners/15-browser-use/llms.txt
# Check Balance Source: https://docs.browser-use.com/api-reference/accounts/check-balance https://api.browser-use.com/api/v1/openapi.json get /balance Returns the user
No other project uses it yet
chopratejasllms.txtchopratejas/headroom/llms.txt
before they reach the model. Same answers, 60–95% fewer tokens. Library, proxy, and MCP server. Apache 2.0, local-first. Headroom is shipped as a Python package (`headroom
mem0aiReads credentialsllms.txtmem0ai/mem0/docs/llms.txt
evaluation key in <5 seconds. Use it immediately against the Platform API or MCP server. When the human is ready, claim with `mem0 init --email ` to transfer ownership (memories preserved
DavidHDevllms.txtDavidHDev/react-bits/public/llms.txt
copy and CLI commands (jsrepo, shadcn). - [MCP Setup](https://www.reactbits.dev/get-started/mcp): Set up a MCP server to help you with development. - [Pro catalogue](https://www.reactbits.dev/pro): On-domain previews
Steady4 mentions in 2 weeks
No other project uses it yet
abhigyanpatwarillms.txtabhigyanpatwari/GitNexus/llms.txt
design context) - ARCHITECTURE.md — system overview, data flow, component relationships # Key directories - gitnexus/ (CLI/core, MCP server — TypeScript) - gitnexus-web/ (web UI — React/Vite/WASM) - eval/ (SWE-bench evaluation harness — Python) - gitnexus-claude-plugin
No other project uses it yet
DeusDatallms.txtDeusData/codebase-memory-mcp/docs/llms.txt
codebase-memory-mcp > Codebase Memory is an open-source local MCP server for AI coding agents. It connects code, documentation, configuration, and infrastructure in a persistent knowledge graph, with
Steady21 mentions in 2 weeks
No other project uses it yet
tinyhumansaiReads credentialsllms.txttinyhumansai/openhuman/llms-full.txt
configuration. The OpenAI-compatible example controls can point a live example at that local server. - [MCP servers](docs/gitbooks/en/developing/embed/integrations/mcp.md): Enable the `mcp` Cargo feature and declare a server with `AgentSpec::mcp
tinyhumansaillms.txttinyhumansai/openhuman/llms.txt
configuration. The OpenAI-compatible example controls can point a live example at that local server. - [MCP servers](docs/gitbooks/en/developing/embed/integrations/mcp.md): Enable the `mcp` Cargo feature and declare a server with `AgentSpec::mcp
Steady13 mentions in 2 weeks
No other project uses it yet
conductor-ossReads credentialsllms.txtconductor-oss/conductor/docs/llms-full.txt
# Conductor LLM context This generated file is a curated technical context for Conductor. Source
No other project uses it yet
linera-iollms.txtlinera-io/linera-protocol/docs/llms.txt
Linera and trading on Linera prediction markets. - [mcp-demo](https://github.com/linera-io/mcp-demo): Demo MCP server connecting Claude to a Linera counter application via GraphQL. - [linera-web](https://github.com/linera-io/linera-web):
No other project uses it yet
garrytanPipes a download into a shellllms.txtgarrytan/gbrain/llms-full.txt
over MCP Your brain runs on your own computer. `gbrain mcp expose` publishes its MCP server on your [Tailscale](https://tailscale.com) tailnet with HTTPS, keeps it running as a user
garrytanReads credentialsllms.txtgarrytan/gbrain/llms.txt
instant refresh, poll-sweep fallback, daily reconcile, App-credential option. - [docs/mcp/DEPLOY.md](https://raw.githubusercontent.com/garrytan/gbrain/master/docs/mcp/DEPLOY.md): MCP server deployment. - [docs/protocol/MEMORY_VERBS_v1.md](https://raw.githubusercontent.com/garrytan/gbrain/master/docs/protocol/MEMORY_VERBS_v1.md): The frozen memory-verb protocol (recall/remember/entity/synthesize/forget plus context_pack
Steady44 mentions in 2 weeks
No other project uses it yet
OpenAIllms.txtopenai/openai-agents-python/docs/llms-full.txt
tool contexts, and test tool execution paths. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Integrate MCP servers so agents can dynamically request data or actions from external providers via a standard
No other project uses it yet
OpenAIllms.txtopenai/openai-agents-python/docs/llms.txt
manage schemas, and work with tool contexts. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Connect MCP servers so agents can request external data or actions through standardized tool APIs. ## Operations
No other project uses it yet
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
sync scripts in `scripts/`. Supported targets include: - **Claude Code** (primary) — plugins, agents, slash commands, MCP servers, hooks - **OpenAI Codex** — `scripts/sync-codex-skills.py`, `~/.codex/` - **Gemini CLI** — `scripts/sync-gemini-skills.py` - **Cursor** — rules-format export - **Hermes Agent
Steady17 mentions in 2 weeks
No other project uses it yet
a2aprojectllms.txta2aproject/A2A/docs/llms.txt
docs/spec/a2a.json`. 2. **Core Concepts Documentation:** Conceptual guides in `docs/topics/` (What is A2A, A2A & MCP, Core Concepts, Life of a Task, Agent Discovery, Enterprise Features, Streaming & Async, Multi-Tenancy
No other project uses it yet
akfamilyllms.txtakfamily/akshare/llms.txt
Assistants (MCP) AKShare itself is a Python library and does not run an MCP server. The companion project AKTools (`https://github.com/akfamily/aktools`) provides one, registered in the official MCP Registry
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.
