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.
TraceMachinaDeletes or force-pushesllms.txtTraceMachina/nativelink/llms-full.txt
recc all speak to it as they are. **Wired into coding agents.** The NativeLink MCP server gives Claude Code, Cursor and Codex five real tools: generate an optimal Bazel configuration
TraceMachinallms.txtTraceMachina/nativelink/llms.txt
llms files, one-click hand-off to hosted assistants, skills for coding agents, the MCP server, and the rules for contributing with an agent. - [Company](https://nativelink.com/company): NativeLink
fujibeellms.txtfujibee/agmsg/llms.txt
other directly through a shared local SQLite database — no daemon required, no network, no MCP. Just `bash` + `sqlite3`. (An optional resident service, agmsgd, is installed only if you choose
Steady5 mentions in 2 weeks
No other project uses it yet
janbjorgellms.txtjanbjorge/pgqueuer/docs/llms.txt
Metrics endpoint and FastAPI router - [Distributed tracing](https://raw.githubusercontent.com/janbjorge/pgqueuer/main/docs/integrations/tracing.md): Logfire, Sentry, and OpenTelemetry - [MCP server](https://raw.githubusercontent.com/janbjorge/pgqueuer/main/docs/integrations/mcp-server.md): Read-only queue inspection tools for agents ## Reference - [Architecture](https://raw.githubusercontent.com
No other project uses it yet
Avijit07xllms.txtAvijit07x/animateicons/public/llms-full.txt
icon into your project as an editable file, instead of installing the package. - The [MCP server](https://animateicons.in/icons/docs/mcp) lets an AI coding agent such as Claude Code or Cursor
Avijit07xllms.txtAvijit07x/animateicons/public/llms.txt
party animateicons CLI. Add, search, and browse icons without leaving the terminal. ## AI agents - [MCP Server](https://animateicons.in/r/docs/mcp.md): Connect the @animateicons/mcp Model Context Protocol server so AI coding agents
arihantcodesllms.txtarihantcodes/spectrum-ui/public/llms-full.txt
install only its listed dependencies. 5. AI coding tools can use the Spectrum UI MCP server: https://ui.spectrumhq.in/docs/mcp ## Verified usage examples ### Accordion Install: `npx shadcn@latest add @spectrumui/accordion
No other project uses it yet
arihantcodesllms.txtarihantcodes/spectrum-ui/public/llms.txt
existing shadcn/ui project. - Accessible — built on Radix UI primitives. - AI-native — ships an MCP server so assistants like Cursor, Claude Code, and Windsurf can add components directly. - Good fit when
No other project uses it yet
hotovoReads credentialsllms.txthotovo/aider-desk/llms.txt
check-project.ts index.ts migrations.ts project-manager.ts project.ts prompts/ helpers/ conditional.ts file.ts formatting.ts index.ts index.ts prompts-manager.ts types.ts server/ rest-api/ agent-api.ts base-api.ts commands-api.ts context-api.ts extensions-api.ts index.ts mcp-api.ts memory-api.ts project-api.ts prompt-api.ts providers-api.ts readonly-api.ts settings-api.ts
nucliwebllms.txtnucliweb/webperf-snippets/public/llms.txt
same URL without .md. --- ## Guides - [WebPerf Snippets CLI](https://webperf-snippets.net/CLI.md) - [MCP server](https://webperf-snippets.net/MCP.md) - [DevTools extension](https://webperf-snippets.net/extension.md) - [Which snippet should I use?](https://webperf-snippets.net/which-snippet.md) ## Core
obseillms.txtobsei/obsei/llms.txt
Slack, Jira or a webhook, and serves it to AI agents through an MCP server whose only write, a proposed issue, waits for human approval. It is a Python
obseillms.txtobsei/obsei/website/llms.txt
Jira, Linear or a signed webhook, and serves it to AI agents through an MCP server whose only write, a proposed issue, waits for human approval. It is a Python
mbaileyllms.txtmbailey/voicemode/llms.txt
coding agents and automation) - [Extend Copilot Chat with MCP](https://docs.github.com/en/copilot/how-tos/provide-context/use-mcp/extend-copilot-chat-with-mcp): Connect MCP servers to Copilot Chat to share context from other applications. - [Use the GitHub MCP Server
Steady9 mentions in 2 weeks
No other project uses it yet
mnemox-aillms.txtmnemox-ai/tradememory-protocol/llms.txt
from a venue, and the optional proxy sits in front of a broker's MCP server. Memory is organized in three layers: - L1 (Raw Trades): Every trade recorded automatically with
No other project uses it yet
RyanAlbertsllms.txtRyanAlberts/best-of-Agent-Harnesses/llms.txt
tools the way a model reads them](https://ryanalberts.github.io/best-of-Agent-Harnesses/skills/tool-design-checker/): Point it at an MCP server or a saved tool list to grade each tool's purpose, parameters, annotations
brayonpiReads credentialsllms.txtbrayonpi/hexstellar/llms.txt
MCP (register the CLI as a local MCP server; tools hxs.analyze/compute/verify/inverse/explore) hexstellar mcp ``` Every response always carries its compute cost — `elapsed_ms` (the solver engine's own compute time
No other project uses it yet
sceneviewReads credentialsllms.txtsceneview/sceneview/llms.txt
/docs/ai-context/): how to hand this file to any assistant, and how to install the MCP server - [AI-assisted development](https://sceneview.github.io/docs/ai-development/): the prompts and workflows that produce code which
chernistryPipes a download into a shellllms.txtchernistry/bernstein/docs/llms-full.txt
Grafana dashboards. Per-model cost tracking (`bernstein cost`). Terminal TUI and web dashboard. - **Ecosystem**. MCP server mode, A2A protocol support, GitHub App integration, pluggy-based plugin system, multi-repo workspaces
Surging3 mentions in 2 weeks
1 project uses a version of this
chernistryllms.txtchernistry/bernstein/docs/llms.txt
Install, configure, run first orchestration in 60 seconds - [Architecture & Concepts](https://docs.bernstein.run/architecture/ARCHITECTURE/): Task server, agent spawner, janitor verification, worktree isolation - [Adapter Reference](https://docs.bernstein.run/adapters/): 40+ supported agents - Claude
Surging3 mentions in 2 weeks
1 project uses a version of this
SceneViewReads credentialsllms.txtSceneView/sceneview-android/llms.txt
/docs/ai-context/): how to hand this file to any assistant, and how to install the MCP server - [AI-assisted development](https://sceneview.github.io/docs/ai-development/): the prompts and workflows that produce code which
No other project uses it yet
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.
