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.
stoolapllms.txtstoolap/stoolap/llms.txt
stoolap/mcp", "--path", "./mydata"]}}}`. Add `--read-only` to refuse writes. Docs: https://stoolap.io/docs/drivers/mcp/ ## Documentation - [Installation](https://stoolap.io/docs/getting-started/installation/): crate, CLI, build from source - [SQL commands](https://stoolap.io/docs/sql-commands/sql-commands/): the supported
No other project uses it yet
frank890417llms.txtfrank890417/taiwan-md/public/llms.txt
explicitly screened (獎項幻覺 / 人名+精確數字 / 地點錯置 / 偽造直接引語 / 共創省略 / 場景動作 detail). MANIFESTO §10 幻覺鐵律 documents the canonical philosophy. ### 6. Wall-Clock Discipline All `lastVerified` and memory file timestamps come from
reacher-zllms.txtreacher-z/ClawBench/llms.txt
task’s evaluation schema; scoring distinguishes interception from judged task fulfillment. See the scoring documentation for the evaluation contract. ## Canonical resources - [Project page](https://claw-bench.com): overview, task explorer, leaderboard
1 project uses a version of this
fastcrwPipes a download into a shellllms.txtfastcrw/crw/docs/llms-full.txt
REST endpoint returns links unbounded up to the requested limit.) "sitemaps" lists the sitemap documents that were fetched and parsed during discovery (robots.txt declarations, the well-known fallback paths
Steady11 mentions in 2 weeks
1 project uses a version of this
fastcrwReads credentialsllms.txtfastcrw/crw/docs/llms.txt
Documentation > CRW is a high-performance web scraper for agents and developer workflows. Start with one `scrape` request, then branch into `crawl`, `map`, `search`, extraction, or MCP as needed. Source
Steady11 mentions in 2 weeks
1 project uses a version of this
asheshgoplaniPipes a download into a shellllms.txtasheshgoplani/agent-deck/llms-full.txt
Agent Deck - Complete Documentation for AI Assistants This file contains documentation for AI/LLM consumption. It is a hand-assembled snapshot of README.md, skills/agent-deck/SKILL.md and skills/agent-deck/references/ (cli, config, troubleshooting
Steady20 mentions in 2 weeks
No other project uses it yet
asheshgoplaniPipes a download into a shellllms.txtasheshgoplani/agent-deck/llms.txt
/asheshgoplani/agent-deck/main/install.sh | bash ``` Or via Homebrew: `brew install asheshgoplani/tap/agent-deck` ## Links - GitHub: https://github.com/asheshgoplani/agent-deck - Full documentation for LLMs: https://raw.githubusercontent.com/asheshgoplani/agent-deck/main/llms-full.txt - Website: https://asheshgoplani.github.io/agent-deck/ - Discord: https://discord.gg/e4xSs6NBN8 - Latest release
Steady20 mentions in 2 weeks
No other project uses it yet
chernistryPipes a download into a shellllms.txtchernistry/bernstein/docs/llms-full.txt
needs the install's audit key. Air-gap install profile included. > Apache-2.0. This document is the long-form `llms-full.txt` variant per the llms.txt spec (<https://llmstxt.org/>). It expands
1 project uses a version of this
chernistryllms.txtchernistry/bernstein/docs/llms.txt
already trust. Enable `--audit` for an HMAC-signed audit trail on top. ## Core Documentation - [Getting Started](https://docs.bernstein.run/getting-started/install/): Install, configure, run first orchestration in 60 seconds - [Architecture & Concepts
1 project uses a version of this
gimlet-ioPipes a download into a shellllms.txtgimlet-io/capacitor/docs/llms.txt
browser; like the ArgoCD UI, just lighter. ## Primary resources - [App Home](/) - [Documentation Hub](/docs/) - [GitHub Repository](https://github.com/gimlet-io/capacitor) - [Install Script](https://gimlet.io/install-capacitor) ## Quickstart ```bash wget -qO- https://gimlet.io
No other project uses it yet
NVIDIAllms.txtNVIDIA/cuda-quantum/llms.txt
latest/using/install/install.md) - [Integration](latest/using/integration/integration.md) - [Extending](latest/using/extending/extending.md) - [Specifications](latest/specification/index.md) - [llms-full.txt](latest/llms-full.txt): Full concatenated content of this documentation
No other project uses it yet
openresponsesllms.txtopenresponses/openresponses/public/llms.txt
tool_choice` - `stream` - `temperature` - `top_p` - `truncation` - `service_tier` - `reasoning` ### Streaming Events - `response.create` - `response.compaction` ## Documentation - [Overview](https://www.openresponses.org/): Introduction and getting started guide. Open Responses is an open-source
No other project uses it yet
EmilStenstromllms.txtEmilStenstrom/justhtml/llms.txt
disabled. Core model - HTML (str/bytes) -> parse -> transforms -> sanitize -> query/serialize. - Use `fragment=True` for snippets; document mode for full pages with html/head/body. Note on sanitization - When `sanitize=True`, JustHTML ensures exactly
Steady9 mentions in 2 weeks
No other project uses it yet
hoangsonwwllms.txthoangsonww/Claude-Code-Agent-Monitor/llms.txt
Modular structure: clear separation of concerns across `server/`, `client/`, `mcp/`, and `scripts/` directories. - Comprehensive documentation: detailed Markdown files covering installation, setup, architecture, API, hooks, database schema, MCP integration, plugins, deployment
No other project uses it yet
DeepMystllms.txtDeepMyst/Mysti/llms.txt
these repository-relative paths for your revision; the URLs track published main. ## Start here - [Documentation home](https://raw.githubusercontent.com/DeepMyst/Mysti/main/docs/README.md): Routes by task and audience. - [Repository agent guidance](https://raw.githubusercontent.com/DeepMyst/Mysti/main/AGENTS.md):
yfedoseevllms.txtyfedoseev/pdf_oxide/llms.txt
Text extraction, image extraction, PDF creation, editing, and markdown conversion. > 0.8ms mean per document. 100% pass rate on 3,830 real-world PDFs. > 5× faster than PyMuPDF, 15× faster
Steady2 mentions in 2 weeks
No other project uses it yet
layer5iollms.txtlayer5io/layer5/static/llms.txt
technologies. - [Service Mesh Landscape](https://layer5.io/service-mesh-landscape): Comprehensive landscape of service mesh technologies. ## Technical Documentation - [Architecture Overview](https://docs.meshery.io/concepts): Core logic on models, relationships, and registry components. - [API Reference
No other project uses it yet
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms-full.txt
Windows: ```cmd setx AGENTBAY_API_KEY your_api_key_here ``` ## 📦 Installation | Language | Install Command | Documentation | |----------|----------------|---------------| | Python | `pip install wuying-agentbay-sdk` | [Python Docs](python/README.md) | | TypeScript | `npm install wuying-agentbay
1 project uses a version of this
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms.txt
Windows: ```cmd setx AGENTBAY_API_KEY your_api_key_here ``` ## 📦 Installation | Language | Install Command | Documentation | |----------|----------------|---------------| | Python | `pip install wuying-agentbay-sdk` | [Python Docs](python/README.md) | | TypeScript | `npm install wuying-agentbay
1 project uses a version of this
NirDiamantllms.txtNirDiamant/Agent_Memory_Techniques/llms.txt
limitations, and a per-technique architecture diagram. The repository is licensed Apache 2.0. ## Core Documents - [README](https://github.com/NirDiamant/Agent_Memory_Techniques/blob/main/README.md): Project overview, decision tree, learning paths, full technique index, and quick
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.
