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.
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
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
project/ 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
No other project uses it yet
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
sipyourdrink-ltdPipes a download into a shellllms.txtsipyourdrink-ltd/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
sipyourdrink-ltdllms.txtsipyourdrink-ltd/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
Ataraxy-Labsllms.txtAtaraxy-Labs/weave/docs/llms.txt
Cosmetic vs structural change detection - Post-merge semantic + parse validation - LRU entity cache in MCP server (500 entries) - Configurable: WEAVE_TIMEOUT, WEAVE_MAX_DUPLICATES, WEAVE_REPO ## Architecture Cargo workspace with
Steady6 mentions in 2 weeks
No other project uses it yet
ksimbackPipes a download into a shellllms.txtksimback/hermes-ecosystem/llms-full.txt
embodiment in virtual environments | 8 | Experimental | | [gizdusum/hermes-blockchain-oracle](https://github.com/gizdusum/hermes-blockchain-oracle) | Solana on-chain analytics MCP server for Hermes | — | Experimental | | [Ridwannurudeen/hermes-council](https://github.com/Ridwannurudeen/hermes-council) | Adversarial multi-perspective MCP server for decision
ksimbackllms.txtksimback/hermes-ecosystem/llms.txt
official aarch64 Docker image. - [Install on a VPS](https://hermesatlas.com/guide/install/vps/): The always-on server setup — sizing, Docker vs direct, and the mandatory-auth security guidance. - [The Hermes Agent Memory
LING71671Reads credentialsllms.txtLING71671/open-reverselab/docs/llms-full.txt
标志 page.evaluate("() => { delete window.chrome.runtime }") # 伪造 plugins 和 mimeTypes # playwright_stealth 已内置这些处理 ``` ## MCP 工具映射 | 攻击步骤 | MCP 工具 | 说明 | |---------|---------|------| | HTTP 探测验证码端点 | `http_probe` | 探测 /captcha /verify 接口 | | 按信号查知识库 | `kb_router` | 搜索 captcha
No other project uses it yet
LING71671llms.txtLING71671/open-reverselab/docs/llms.txt
cheating, and more. ## Quick Links - Landing Page: https://ling71671.github.io/open-reverselab/ - Knowledge Base: https://ling71671.github.io/open-reverselab/kb/ - MCP Tools: https://ling71671.github.io/open-reverselab/mcp-tools/ - FAQ: https://ling71671.github.io/open-reverselab/faq.html - GitHub: https://github.com/LING71671/open-reverselab - Full LLM dump
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.
