How real projects summarise themselves for language models.
bibinprathapllms.txtbibinprathap/VeritasGraph/llms-full.txt
Reasoning Layer - Reasoner package root: [veritas-reason/](./veritas-reason/) - Policy examples: [rules/sod_policy.yaml](./rules/sod_policy.yaml) - Compliance demo test: [tests/test_policy_compliance_demo.py](./tests/test_policy_compliance_demo.py) ## Data and Retrieval Flow 1. Ingest documents and optionally structured data. 2. Extract
kydlikebtcllms.txtkydlikebtc/awesome-grokbot/llms.txt
does what it claims. No bot in this catalog has been imported and behaviour-tested. Important caveat for anyone summarising this data: a reachable share page proves the page loads
rife2llms.txtrife2/bld/llms.txt
where bld sits next to Maven and Gradle - [Quickstart](https://github.com/rife2/bld/wiki/Quickstart): create, run, test and package a first project - [Installation](https://github.com/rife2/bld/wiki/Installation): Homebrew, SDKMAN!, JBang, a zip archive
oriveollms.txtoriveo/oriveo/llms.txt
OriveoProviderKit Swift package - [Contributing](https://github.com/oriveo/oriveo/blob/main/CONTRIBUTING.md): toolchain versions, how to build and test each client, and what a good pull request looks like - [Scope](https://github.com/oriveo/oriveo/blob/main/COMMUNITY.md): what this
nirholasllms.txtnirholas/cryptocurrency.cv/llms-full.txt
/api/rag/batch Batch RAG processing for multiple queries. ### GET /api/rag/eval RAG evaluation against a test set. ### GET /api/rag/feedback Submit feedback on RAG answers. ### GET /api/rag/personalization Personalised RAG based on user preferences
nirholasllms.txtnirholas/cryptocurrency.cv/public/llms-full.txt
/api/rag/batch Batch RAG processing for multiple queries. ### GET /api/rag/eval RAG evaluation against a test set. ### GET /api/rag/feedback Submit feedback on RAG answers. ### GET /api/rag/personalization Personalised RAG based on user preferences
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
ohad6kllms.txtohad6k/emulo/site/llms.txt
personal folder that is not committed. In a host-by-host test on 2026-09-25, a project AGENTS.md reached the model in Codex (verified
Higangsshllms.txtHigangssh/homebutler/llms.txt
status --all homebutler watch add nginx homebutler watch start homebutler watch history homebutler notify test homebutler serve ``` ## Config Primary config path: - `~/.config/homebutler/config.yaml` Resolution order: 1. `--config ` 2. `$HOMEBUTLER_CONFIG
Scottcjnllms.txtScottcjn/rustchain-bounties/llms.txt
Star + fix doc issue / first PR (2 RTC)](https://github.com/Scottcjn/rustchain-bounties/issues/2783). - [#2784 Star + test miner + hardware report (3 RTC)](https://github.com/Scottcjn/rustchain-bounties/issues/2784). ## Payout rules - Currency: RTC only. No fiat
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
gosudallms.txtgosuda/portal-tunnel/llms.txt
endpoint, and hand off lifecycle information. If the user asks you to reach, call, test, browse, or check a service that is already published through Portal, or asks what
aws-samplesllms.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-enrizkyllms.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
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
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
xixihhhhllms.txtxixihhhh/hotclip/docs/llms.txt
service with optional ForcedAligner, CLI/MCP parity and reproducible local evaluation. 0.6B CPU smoke tested; 1.7B and GPU performance not established. - Export reliability: cancellation from preparation onward, exclusive desktop
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
vinkius-labsllms.txtvinkius-labs/mcpfusion/docs/llms.txt
mcpfusion server project mcpfusion create [--transport stdio|sse] [--vector vanilla|prisma|n8n|openapi|oauth] [--testing|--no-testing] [--yes|-y] # Start HMR dev server with auto-reload (auto-detects server entrypoint
tamtomllms.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
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.
