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.
Atharvsinh-codezllms.txtAtharvsinh-codez/ObsidianUI/public/llms.txt
readable HTTP API contract. - [Authentication](https://www.obsidianui.dev/markdown/authentication.md): Public read access requires no credentials. - [MCP server](https://www.obsidianui.dev/markdown/mcp.md): Local stdio resources/list and resources/read at obsidian://{name}. - [Registry catalogue
mixpeekPipes a download into a shellllms.txtmixpeek/amux/site/llms.txt
terminal TUI, git worktrees, lightweight, MIT); Nimbalyst (native macOS app, GPU rendering, no external server); Opcode (free AGPL desktop GUI for Claude Code); Claude Code Agent Teams (experimental native feature
Ikalus1988llms.txtIkalus1988/MisakaNet/docs/llms-full.txt
workflow-fix-dco-command-design-implementation](https://misakanet.org/lessons/dco-auto-fix-workflow-fix-dco-command-design-implementation/) - [Lesson: deepseek-tui-feishu-mcp-server-setup-permission-boundaries](https://misakanet.org/lessons/deepseek-tui-feishu-mcp-server-setup-permission-boundaries/) - [Lesson: deepseek-tui-write-file-sandbox-worktree-git-path
Ikalus1988llms.txtIkalus1988/MisakaNet/docs/llms.txt
database locked - Feishu document cleared - Windows Unicode crash - WSL permission denied - FANUC error codes - MCP server not discovered - Agent loops debugging ## How to connect ### Claude Code / Claude Desktop ```json { "mcpServers
Ikalus1988llms.txtIkalus1988/MisakaNet/llms.txt
repeat: - **MCP endpoint**: `https://misakanet.org/mcp` — Streamable HTTP, anonymous reads with no account. Reads carry a per-address burst window: a speed limit, not a quota. - **Local stdio server**: from
emiliaprotocolllms.txtemiliaprotocol/emilia-protocol/public/llms-full.txt
HTTP local service alpha over an owner-permissioned Unix socket plus HTTP and MCP SDK protection. The local service is not a general HTTP reverse proxy. Host
ankimcpPipes a download into a shellllms.txtankimcp/anki-mcp-server/llms-full.txt
give AI systems the context they need. How it works 1 Choose MCP servers Pick from pre-built servers for popular tools like GitHub, Google Drive, Slack and hundreds
bnb-chainReads credentialsllms.txtbnb-chain/bnb-chain.github.io/docs/llms.txt
privacy stack — Intelligent Privacy Pool, ZKredit, and Zama FHE. - [Overview](https://docs.bnbchain.org/developer-kit/mcp/): bnbchain-mcp server for on-chain tools and IDE integration. - [Ask AI](https://docs.bnbchain.org/developer-kit/ask-ai/): Read-only
EvolutionAPIPipes a download into a shellllms.txtEvolutionAPI/evo-nexus/docs/llms-full.txt
with iteration-based circuit breaker ### Tier 2 — Setup & infrastructure (5) - `dev-mcp-setup` — configure MCP servers - `dev-deepinit` — generate hierarchical AGENTS.md / CLAUDE.md for new projects - `dev-project-session-manager
oxbshwllms.txtoxbshw/LLM-Agents-Ecosystem-Handbook/llms.txt
safety, prompt evals + dataset + rubric ## Templates - [templates/](templates/): AGENTS, SOUL, MEMORY, USER, TOOLS, SKILL, MCP_SERVER, SYSTEM_PROMPT, AGENT_PROMPT, DESIGN_DOC, ADR, EVAL_PLAN, GUARDRAILS, HUMAN_APPROVAL_POLICY, CODING
nossa-yllms.txtnossa-y/activity-frames/llms.txt
aframes steps --frame ID | --find "task query" # replay-view script aframes mcp # MCP stdio server ## MCP (6 tools) get_context, get_activity, get_steps, get_day_summary, get_patterns
ythx-101Reads credentialsllms.txtythx-101/ask-search/llms.txt
search > ask-search is a self-hosted web search CLI and MCP server for AI agents. It wraps SearxNG so Claude Code, OpenClaw, Antigravity or any shell can search Google
erikdarlingdatallms.txterikdarlingdata/PerformanceMonitor/llms.txt
Server collectors, real-time alerts, graphical execution plan viewer, and a built-in MCP server for AI-powered analysis (more than 100 tools in Lite, more than 200 in Darling
BarredEwellms.txtBarredEwe/Prefire/llms.txt
also lets AI coding agents see SwiftUI: `prefire render` and the `prefire mcp` MCP server build the app and return previews as PNG images, on the devices, color scheme
heyderekjllms.txtheyderekj/dinky/site/llms.txt
public HTTP API**, **no OAuth/OIDC**, **no protected API resource**, and **no remote MCP server** on dinkyfiles.com. - Machine-readable discovery: `https://dinkyfiles.com/openapi.yaml` (empty paths for the *site*; see description
timoncoolllms.txttimoncool/ACE-Step-Studio/docs/llms.txt
card through the native C++ engine acestep.cpp. While it is open it serves an MCP server at http://127.0.0.1:8792/mcp that an agent uses to do everything the studio does
VikashLoomballms.txtVikashLoomba/copilot-mcp/llms.txt
Skills search/install/manage: - [web/src/components/SearchSkills.tsx](./web/src/components/SearchSkills.tsx) - [web/src/components/InstalledSkillsList.tsx](./web/src/components/InstalledSkillsList.tsx) - [src/skills-client.ts](./src/skills-client.ts) - [src/installer.ts](./src/installer.ts) - MCP registry search/install: - [web/src/components/SearchRegistryServers.tsx](./web/src/components/SearchRegistryServers.tsx) - [web/src/utils/registryInstall.ts](./web/src/utils/registryInstall.ts) - Installed server management: - [web/src/components/InstalledMCPServers.tsx](./web/src/components/InstalledMCPServers.tsx) - [src/panels/ExtensionPanel.ts](./src/panels/ExtensionPanel.ts) ## CI + Release (Canonical Files) - Test workflow
coollabsioPipes a download into a shellllms.txtcoollabsio/coolify-cli/llms-full.txt
# Coolify CLI - llms-full.txt > Full AI/LLM command catalog for the Coolify CLI. > Manage Coolify instances
cristicretuReads credentialsllms.txtcristicretu/diri/website/llms-full.txt
Agents you start inside diri can reach the Engine too, through the built-in [MCP server](/docs/mcp/). That is how one agent starts helpers, hands them tasks, waits for results
cristicretullms.txtcristicretu/diri/website/llms.txt
side, with live status, git worktrees, review, notes, remote SSH hosts, and an MCP server that lets agents start and coordinate other agents. Free and open source (AGPL-3.0). Each
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.
