g-battagliallms.txtkerykeion / kerykeion
g-battaglia/kerykeion/kerykeion/llms.txt
# Kerykeion AI Agent Guide **Comprehensive reference for AI agents using the Kerykeion Astrological Library
llms.txt examples
How real projects summarise themselves for language models.
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g-battagliallms.txt
Xilinxllms.txtmlir-aie
Xilinx/mlir-aie/docs/llms.txt
tiling - **@iron.jit**: decorator that JIT-compiles a design to the NPU on first call ## Documentation sections - [Getting Started](https://xilinx.github.io/mlir-aie/): install IRON on Ubuntu, build and run your first
buzzer-rellms.txtRikugan
buzzer-re/Rikugan/llms.txt
RIKUGAN.md` per binary — facts saved by `save_memory` pseudo-tool, loaded into system prompt. ## Documentation - [Full Architecture Reference](https://buzzer-re.github.io/rikugan/ARCHITECTURE.html): Agent loop internals, TurnEvent system, tool framework, exploration mode
buzzer-rellms.txtRikugan / webpage
buzzer-re/Rikugan/webpage/llms.txt
scripting API. ## Pages - [Home](index.html): Overview, feature highlights, skills list, and provider support. - [Documentation](docs.html): Installation, configuration, usage guide, commands reference, skills, MCP setup, custom skills, and full tool listing
saleweaverllms.txtpython-amazon-sp-api
saleweaver/python-amazon-sp-api/docs/llms.txt
asyncio) Source of truth: the hosted docs (not GitHub snippets, not blog posts). ## Canonical documentation (authoritative) Docs home (latest): https://python-amazon-sp-api.readthedocs.io/en/latest/ Installation: https://python-amazon-sp-api.readthedocs.io/en/latest/installation.html Credentials (LWA/SP-API auth
kossisoroycellms.txttimber
kossisoroyce/timber/llms.txt
Timber — LLM Reference Document This file is a comprehensive single-file reference for Timber, designed for use by language models, code assistants, and AI tooling. It covers the full public
ojuschugh1llms.txtsqz
ojuschugh1/sqz/llms.txt
dedup hits, 0% on source files and on stack traces and credential lines. ## Docs - [Documentation site](https://ojuschugh1.github.io/sqz/): every guide below, with search - [README](https://github.com/ojuschugh1/sqz/blob/main/README.md): install, supported
genomoncologyllms.txtbiomcp
genomoncology/biomcp/docs/llms-full.txt
BioMCP Documentation Index An expanded index of the BioMCP documentation. - [Generate Charts Easily from Study Data](https://biomcp.org/blog/biomcp-charts/): An article about Generate Charts Easily from Study Data
genomoncologyPipes a download into a shellllms.txtbiomcp
genomoncology/biomcp/docs/llms.txt
biomcp.org/install.sh | bash Read the [installation guide](https://biomcp.org/getting-started/installation/) or begin with the [documentation](https://biomcp.org/). ## Interfaces The CLI uses these entity command forms: - `search [filters]` - `get [section
nubenetesllms.txtawesome-kubernetes / v2-docs
nubenetes/awesome-kubernetes/v2-docs/llms.txt
Spotify for building customizable internal developer portals. It consolidates service catalogs, software templates, technical documentation, and... - [github.com/charlax/professional-programming: A collection of full-stack' resources for programmers 🌟](https://github.com/charlax/professional-programming):
carloslfuPipes a download into a shellllms.txtslotstream
carloslfu/slotstream/llms-full.txt
slotstream: full documentation Generated by Tools/llms_full.sh from README.md docs/MODELS.md docs/GETTING-STARTED.md docs/ENGINEERING.md docs/EXPERT-LOOKAHEAD.md docs/HERMES-NOTES.md docs/CLIENTS.md docs/CLI.md docs/API.md docs/LIBRARY.md docs/FX.md docs/HERMES.md docs/CODEX.md docs/CLAUDE-CODE.md docs/CODING-AGENTS.md docs/TESTING.md docs/TROUBLESHOOTING.md docs/DOWNLOAD-FORMAT.md docs/HARDWARE.md CHANGELOG.md. Edit those, then
carloslfuPipes a download into a shellllms.txtslotstream
carloslfu/slotstream/llms.txt
token) and `POST /v1/messages/count_tokens`, with tools, `tool_choice`, base64 images, plain-text documents, thinking whose `signature` carries the reasoning, stop sequences, Anthropic's SSE event order with a `ping` every
decionisllms.txtagent-safe-pipeline
decionis/agent-safe-pipeline/llms-full.txt
authority on loopback, named local/demo everywhere and refused in production; it is not policy. ## Documentation - Overview: https://github.com/decionis/agent-safe-pipeline#readme - Five-minute quickstart (install, start the gateway, send the first governed
decionisllms.txtagent-safe-pipeline
decionis/agent-safe-pipeline/llms.txt
authority on loopback, named local/demo everywhere and refused in production; it is not policy. ## Documentation - Overview: https://github.com/decionis/agent-safe-pipeline#readme - Five-minute quickstart (install, start the gateway, send the first governed
ScottcjnReads credentialsllms.txtRustchain
Scottcjn/Rustchain/llms.txt
consensus layer where older silicon earns proportionally more reward. - **License**: MIT - **Website**: https://rustchain.org - **Documentation**: https://github.com/Scottcjn/Rustchain#readme - **Whitepaper**: https://github.com/Scottcjn/Rustchain/blob/main/RustChain_Whitepaper_Flameholder_v0.97-1.pdf - **API Reference**: https://github.com/Scottcjn/Rustchain/blob/main/API_WALKTHROUGH.md - **Install Guide
neondatabasellms.txtmcp-server-neon
neondatabase/mcp-server-neon/public/llms.txt
/mcp - **Docs-only (no auth)**: Connect via https://mcp.neon.tech/mcp?category=docs to use only the documentation tools (`search_docs`, `get_doc`) and `send_feedback` without an account or OAuth flow. ## Documentation
nirholasllms.txtXActions
nirholas/XActions/llms.txt
/nirholas - Agent instructions (CLI vs MCP, and which to use): https://raw.githubusercontent.com/nirholas/XActions/main/AGENTS.md - Full documentation for LLMs: https://raw.githubusercontent.com/nirholas/XActions/main/llms-full.txt ## Key Capabilities - Public reads with no account and no browser
nirholasllms.txtXActions / python
nirholas/XActions/python/llms.txt
style)` - Generate AI reply - `ai.analyze_sentiment(tweets)` - Sentiment analysis - `ai.detect_bot(profile)` - Bot detection ## Documentation - Quick Start: docs/QUICKSTART.md - CLI Reference: docs/CLI_REFERENCE.md - AI Features: docs/AI_FEATURES.md - Examples: docs/EXAMPLES.md - FAQ: docs/FAQ.md ## Links - Repository
JanssenProjectllms.txtjans
JanssenProject/jans/llms.txt
FIDO security stack for app integrity, client constrained access tokens, and user presence. ## Documentation - Documentation: https://docs.jans.io/stable/llms.txt - Full documentation: https://docs.jans.io/stable/llms-full.txt ## Installation ### Development Environments You can install
aws-neuronllms.txtaws-neuron-sdk
aws-neuron/aws-neuron-sdk/llms.txt
Neuron SDK Documentation > AWS Neuron SDK enables high-performance deep learning and generative AI on AWS Inferentia and Trainium instances. The SDK provides TorchNeuron (native PyTorch with eager mode
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.