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.
KimYx0207llms.txtKimYx0207/Meta_Kim/llms.txt
formal projections for OpenClaw and Cursor. - The local complete-product MVP has repeatable scripts, tests, reports, and AI-readable delivery artifacts. - Capability-first dispatch is the default governance route: define
NVIDIAllms.txtNVIDIA/TensorRT-Model-Connect/website/static/llms.txt
Preserve user changes and inspect branch, status, and remotes before editing. - Do not weaken tests or thresholds to make CI pass. - Use exact model revision, family manifest, task, precision, topology
tamtomPipes a download into a shellllms.txttamtom/play-console-cli/llms.txt
AGENTS.md` for full contribution guide and project structure - `make dev` runs format + lint + test + build - `make test` runs the test suite - TDD is required: start with a failing test, then
OdyseeTeamReads credentialsllms.txtOdyseeTeam/odysee-frontend/llms.txt
shape) - `404` for not found/not owned ## 7.6 Status Endpoints From `internal/status/status.go`: - `/api/v2/status` - resolves fixed test claim (`what#19b9c243...`) against SDK - reports `general_state` and service status - includes assigned server when
wazuhllms.txtwazuh/wazuh-documentation/source/llms.txt
from Windows, Linux, and macOS operating systems, log data analysis with the Wazuh Log Test tool, and use cases for Sysmon, rsyslog relaying, and custom socket outputs. - **[Monitoring Linux system
jfarcandllms.txtjfarcand/mirroir-mcp/llms.txt
Types, keyboard maps, timing constants, and protocol definitions shared across the main executable and test targets. The input path: MCP client -> mirroir-mcp -> CGEvent API -> macOS HID -> iPhone Mirroring -> iPhone
aws-samplesPipes a download into a shellllms.txtaws-samples/sample-well-architected-skills-and-steering/llms.txt
code for all environments - Design for observability from day one ## Evaluations Each skill includes test cases in `skills/*/evals/evals.json`. The `evals/` directory contains an automated runner powered by Amazon Bedrock
billy-enrizkyReads credentialsllms.txtbilly-enrizky/openbrowser-ai/stress-tests/llms-full.txt
version](https://badge.fury.io/py/openbrowser-ai.svg)](https://pypi.org/project/openbrowser-ai/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/billy-enrizky/openbrowser-ai/actions) **AI-powered browser automation using LangGraph and CDP (Chrome DevTools Protocol)** OpenBrowser
AI45Labllms.txtAI45Lab/OpenART/llms.txt
artifacts, quickstart, and citation. - [README](https://github.com/AI45Lab/OpenART): Research summary, positioning table, install, smoke test, model-backed evaluation, task generation. - [Paper (arXiv:2608.00677)](https://arxiv.org/abs/2608.00677): Full results — 10K+ validated
sachitrafallms.txtsachitrafa/YourMemory/llms.txt
Cloud 28% | | HotpotQA distractor (200 multi-hop questions) | BOTH_FOUND@5 | 71.5% | HotpotQA tests whether a memory system can connect a chain of facts — not just retrieve similar ones. Entity
tawrootPipes a download into a shellllms.txttawroot/antigravity-cleaner/llms.txt
repositories. ### Does it work with Clash, v2ray, NekoBox, and Hiddify? Yes. The auto-detector tests standard local loopback SOCKS5 and HTTP ports (`10808`, `2080`, `7890`, `1080`, `10809`, `2081`) and automatically
tawrootPipes a download into a shellllms.txttawroot/antigravity-cleaner/website/llms.txt
repositories. ### Does it work with Clash, v2ray, NekoBox, and Hiddify? Yes. The auto-detector tests standard local loopback SOCKS5 and HTTP ports (`10808`, `2080`, `7890`, `1080`, `10809`, `2081`) and automatically
decionisllms.txtdecionis/govern/llms.txt
binary for GitHub Actions, GitLab CI, Jenkins and any runner; its source, tests and releases are in decionis/agent-safe-pipeline under govern/. Key inputs: `api-key`, `tenant-id`, `mode` (enforce | shadow), `action
mattrobinsonsrePipes a download into a shellllms.txtmattrobinsonsre/terrapod/llms.txt
guide for contributors and AI assistants** — architecture orientation, the API↔consumer contract, the code↔tests contract, the test tiers, conventions, and the hard invariants. Read this before changing code. - [docs/index.md
nirholasReads credentialsllms.txtnirholas/three.ws/llms-full.txt
# three.ws > Open-source platform for 3D AI agents. Turn text or a photo into
nirholasPipes a download into a shellllms.txtnirholas/three.ws/public/llms-full.txt
# three.ws: Complete Page Index three.ws is the AI-agent layer for the open web
QVerisAIPipes a download into a shellllms.txtQVerisAI/QVerisAI/agent/llms-full.txt
free, 1,000 one-time trial credits after signup verification - **Playground:** https://qveris.ai/playground (test capabilities in browser) - **Pricing:** https://qveris.ai/pricing ### Documentation - **Getting Started:** https://github.com/QVerisAI/qveris-agent-toolkit/blob/main/docs/en-US/getting-started.md - **MCP Server
dengyierllms.txtdengyier/OpenWorkProof/llms.txt
party audit via `validate_grant_chain`. ## Current Status **v0.1.0 in active development. 2,283 tests passed, 0 failed, 7 skipped.** What's implemented and verified: - Four protocol object models with
UKGovernmentBEISllms.txtUKGovernmentBEIS/control-arena/docs/llms.txt
Institute. It provides evaluation settings, control protocols, monitors, and analysis tools for designing and testing safety measures for AI systems. ## User Guide - [Welcome](https://control-arena.aisi.org.uk/index.html.md): Introduction to ControlArena, installation
deinfreullms.txtdeinfreu/hytale-server-container/docs/llms.txt
Cases - Self-hosting Hytale dedicated servers for personal or community use - Mod development and testing environments - Persistent multiplayer worlds with automated backups - CI/CD pipeline integration via Docker Compose - Edge deployment
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.
