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Comfy

comfy.orgDeveloper Tools
Community listing llms.txt reachable AI Impact Score 100/100 · A

The organization Comfy uses the llms.txt standard for better discoverability by AI systems. Industry: Developer Tools. The website comfy.org provides its llms.txt at https://comfy.org/llms.txt. Listed since 24 August 2026.

Check of the llms.txt

Automated check on Sep 29, 2026: the llms.txt of comfy.org is reachable (HTTP 200, text/plain, 38.3 KB). It starts with a title and a short summary, is divided into 17 sections and contains 225 links. It refers to a more detailed llms-full.txt. The file is written mainly in English.

llms.txt address
https://comfy.org/llms.txt
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llms.txt: current content Open ↗
# Comfy > Comfy is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Built around ComfyUI, the open-source node-graph runtime with 60,000+ community nodes, Comfy ships as a free desktop app, a managed cloud, an API, an MCP server and CLI for AI agents, and an enterprise platform. The Comfy ecosystem spans these surfaces: - **Comfy Desktop (local)**: the open-source ComfyUI engine, running models on your own hardware. - **Comfy Cloud**: managed ComfyUI in the browser, with pre-loaded models, pre-installed custom nodes, and concurrent jobs. - **Comfy API**: any ComfyUI workflow deployed as a production endpoint, triggered from your own apps and pipelines. - **Comfy MCP**: the full ComfyUI engine exposed over the Model Context Protocol, so any AI agent can build workflows and generate images, video, audio, and 3D. - **Comfy CLI**: the same engine from the terminal and from coding agents such as Claude Code, Codex, and Cursor, with JSON output for scripts. - **Comfy Enterprise**: ComfyUI for teams, with dedicated GPU compute, SSO and role-based access, bring-your-own API keys, and custom SLAs. - **Comfy Developer Platform** (platform.comfy.org): API keys, usage, builds, and serverless deployments for developers. How it works: a ComfyUI workflow is a graph. Each node loads a model, encodes a prompt, samples, edits, upscales, or saves; edges carry typed data between nodes; the whole graph is one JSON file. …

Excerpt from the first section of the llms.txt of comfy.org, retrieved Sep 29, 2026. Source: https://comfy.org/llms.txt.