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llms.txt examples

How real projects summarise themselves for language models.

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najmuzzaman-mohammadllms.txt

gawkbot / website

najmuzzaman-mohammad/gawkbot/website/llms.txt

gawkbot is the open source Grok Bot. gawkbots automate your menial work via AI models and build you microapps to manage the outcome, so that you have a false sense…

1.5k11d agoDiscuss
mnemox-aillms.txt

tradememory-protocol

mnemox-ai/tradememory-protocol/llms.txt

Platform-agnostic AI trading memory system with Outcome-Weighted Memory (OWM) architecture via MCP. Accepts standardized trade data from any source (MT5, Binance, Alpaca) and provides structured memory with LLM-powered reflection. TradeMemory Protocol is an open-source memory layer for AI-assisted trading systems. It does NOT connect to trading platforms directly — it accepts standardized trade data and organizes it into three layers: Key capabilities: - 4 MCP tools: storetrade, recalltrades, getperformance, runreflection - LLM-powered reflection engine (Claude API) for trade analysis -…

1.4k7mo agoDiscuss
razzantllms.txt

ouroboros

razzant/ouroboros/docs/llms.txt

Ouroboros is an open-source AI agent with a continuing identity, durable memory, agent swarms, autonomous evolution, and an implementation it can rewrite. Canonical site: https://ouroboros-agent.ai/ Source: https://github.com/razzant/ouroboros License: MIT Ouroboros publishes self-reported benchmark results with status labels and links to available runs, traces, methodology, and submissions. The GAIA result states that its scrubbed trace capsule is pending. Upstream leaderboard acceptance is reported separately when it happens.

1.4k2mo agoDiscuss
mbaileyllms.txt

voicemode

mbailey/voicemode/llms.txt

GitHub is a developer platform for building, shipping, and maintaining software. It provides cloud-based Git repository hosting, CI/CD via GitHub Actions, project management with Issues and Projects, code review via pull requests, AI-powered development with GitHub Copilot, and APIs (REST and GraphQL) for automation and integration. GitHub documentation is available at https://docs.github.com. The content covers GitHub.com (cloud), GitHub Enterprise Server, and GitHub Enterprise Cloud. To retrieve full article content, page lists, or search results programmatically, please use the APIs below.…

1.4k3mo agoDiscuss
Ataraxy-Labsllms.txt

weave

Ataraxy-Labs/weave/docs/llms.txt

Entity-level semantic merge driver for Git. Resolves conflicts at the function and class level using tree-sitter. weave replaces git's line-level merge with entity-level merge. It parses all three versions (base, ours, theirs) with tree-sitter, extracts functions/classes/methods, matches them by name and structural hash, and merges per-entity instead of per-line. Two developers editing different functions in the same file? No conflict. Git would flag this as a conflict because the line ranges overlap. weave knows they're different entities and merges cleanly.

1.3k21d agoDiscuss
sipyourdrink-ltdllms.txt

bernstein

sipyourdrink-ltd/bernstein/docs/llms-full.txt

Bernstein is the open-source governance layer for AI agents, with a deterministic scheduler driving CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more). Scheduling is plain Python - no LLM in the coordination loop - so runs are reproducible end to end. Every coding task runs in its own git worktree behind lint/type/test gates; artifact-mode tasks complete on a signed lineage receipt in an isolated plain directory instead. An always-on lineage spine and replay journal record what happened;…

1.3k9d agoPipes a download into a shellDiscuss
sipyourdrink-ltdllms.txt

bernstein

sipyourdrink-ltd/bernstein/docs/llms.txt

Bernstein is the open-source governance layer for AI agents, with a deterministic scheduler driving CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more). Scheduling is plain Python - no LLM in the coordination loop - so runs are reproducible end to end. Every coding task runs in its own git worktree behind lint/type/test gates; artifact-mode tasks complete on a signed lineage receipt in an isolated plain directory instead. An always-on lineage spine and replay journal record what happened;…

1.3k9d agoDiscuss
ksimbackllms.txt

hermes-ecosystem

ksimback/hermes-ecosystem/llms.txt

The decision layer for Hermes Agent by Nous Research — install guidance, mode and skill picks, and a community-curated catalog of 248+ tools, skills, plugins, and integrations with live GitHub…

1.3k6mo agoDiscuss
Microsoftllms.txt

winappCli

microsoft/winappCli/llms.txt

CLI for generating and managing appxmanifest.xml, image assets, certificates, Windows SDK projections, package identity, and MSIX packaging for any app framework targeting Windows. winapp helps developers add Windows-specific features (MSIX packaging, push notifications, native APIs) to apps built with any framework—Electron, Tauri, .NET, C++, Rust, or others. It handles the complexity of Windows app identity, code signing, and SDK integration. A single shared plugin at plugins/winapp/ serves both GitHub Copilot and Claude Code. It includes:

1.3k9d agoDiscuss
MongoDBllms.txt

kingfisher / docs-site

mongodb/kingfisher/docs-site/docs/llms.txt

Kingfisher is an open source secret scanner and credential-response tool. It detects exposed credentials, validates which are active, maps blast radius, supports visual triage, and revokes supported secrets. Kingfisher is written in Rust and licensed under Apache-2.0. Use TOON output for LLM and agent workflows: kingfisher scan <target> --format toon --no-update-check.

1.2k7d agoDiscuss
BankrBotllms.txt

skills / defi-native

BankrBot/skills/defi-native/llms.txt

A skill that makes any LLM agent crypto-native for onchain capital markets. Evergreen mental models plus live-data discipline. MIT licensed.

1.2k5mo agoDiscuss
aklofasllms.txt

kicad-happy

aklofas/kicad-happy/llms.txt

AI-powered design review skills for KiCad electronics projects A suite of 11 skills that turn an AI coding agent into an electronics design assistant. Structured Python analysis scripts (zero dependencies, Python 3.10+ stdlib only) for KiCad 5-10 projects. Works with Claude Code, OpenAI Codex, Cursor, and Google Antigravity. Capabilities: schematic analysis (40+ subcircuit detectors), PCB layout review, EMC pre-compliance (44 rules), SPICE simulation, thermal analysis, component sourcing (DigiKey/Mouser/LCSC/element14), BOM management, manufacturing prep (JLCPCB/PCBWay), and professional documentation generation. Install: /plugin marketplace…

1.2k6mo agoDiscuss
LING71671llms.txt

open-reverselab

LING71671/open-reverselab/docs/llms.txt

183-article knowledge base, 100+ MCP automation tools for reverse engineering. Agent-native architecture. Covers CTF, APK, PE, cryptography, game cheating, and more. - 24h Loop Orchestration > - CAPTCHA Bypass Techniques…

1.2k3mo agoDiscuss
NVIDIAllms.txt

cuda-quantum

NVIDIA/cuda-quantum/llms.txt

CUDA-Q streamlines hybrid application development and promotes productivity and scalability in quantum computing. It offers a hybrid programming model designed for a setting where CPUs, GPUs, and QPUs work together. CUDA-Q contains support for programming in Python and in C++.

1.1k2mo agoDiscuss
ClawBiollms.txt

ClawBio

ClawBio/ClawBio/llms.txt

ClawBio is a local-first, privacy-focused, reproducible bioinformatics AI agent skill library built on OpenClaw. This file is the fast entry point for LLMs discovering the repository. - Current public release:…

1.1k7mo agoDiscuss
fastcrwllms.txt

crw

fastcrw/crw/docs/llms.txt

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: https://github.com/fastcrw/crw

1.1k7mo agoDiscuss
NirDiamantllms.txt

Agent_Memory_Techniques

NirDiamant/Agent_Memory_Techniques/llms.txt

A hands-on cookbook for agent memory in Large Language Model (LLM) applications. 30 runnable Jupyter notebooks covering every major memory pattern: short-term conversation buffers, long-term storage, cognitive architectures, retrieval patterns, frameworks (Mem0, Letta/MemGPT, Zep, Graphiti), and production deployment. Each notebook is paired with a sub-README that explains the technique, when to use it, its limitations, and a per-technique architecture diagram. The repository is licensed Apache 2.0.

1.1k5mo agoDiscuss
vshulczllms.txt

deja-vu

vshulcz/deja-vu/docs/llms.txt

Local memory for coding agents, built from the session transcripts they already write to disk. deja indexes what Claude Code, Codex, Cursor, opencode, Gemini CLI, Zed and twenty-nine more agents wrote on this machine — including the months before it was installed — and answers from them over MCP or the command line. BM25 over the transcripts: no model, no embeddings, and no network path unless you ask for one. Two things distinguish it from memory tools that record forward:…

1.1k2mo agoPipes a download into a shellDiscuss
hoangsonwwllms.txt

Claude-Code-Agent-Monitor

hoangsonww/Claude-Code-Agent-Monitor/llms.txt

Local-first real-time dashboard for Claude Code: native hooks POST to an Express + SQLite server, the React UI updates over WebSocket, and an optional local MCP server exposes safe dashboard tools. This repository is MIT-licensed; default stack is Node.js 18+, React 18, Vite, TypeScript, and better-sqlite3. Important context for tools and answers: Techniques and patterns used: - Local-first architecture: runs on the developer machine, data stored in SQLite, no cloud dependencies. - Hooks-based integration: native hooks POST to the Express…

1k57d agoDiscuss
CLAUDE.md vs AGENTS.md

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.