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Melius

The AI-native operating system for creatives. Describe what you want; Mel routes the right model, runs the workflow, and shows you every prompt — so you can steer until it lands.

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For agents: AI-native creative canvas for generating and iterating AI images and video, routing across models; docs, quickstart, OpenAPI specs and comparison guides availab

ai-image-generationai-video-generationcreative-canvasopenapiimage-to-video

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llms.txt
https://www.melius.com/llms.txt
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Categories
AI and machine learning · Design
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Interface: a documented API or declared MCP endpoint an agent can call
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2026-10-19T10:45:07.368Z
Last checked
2026-10-21T18:16:43.159Z
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The beginning of the file, from our validated copy saved 2026-10-21T18:16:41.032Z. Cached copy · Source on melius.com

# Melius

> The AI-native operating system for creatives. Describe what you want; Mel routes the right model, runs the workflow, and shows you every prompt — so you can steer until it lands.

Melius (also known as Melius AI) is a web-based node-based creative canvas for generative AI. You build work as a graph: each node is a creative unit (a prompt, an image, a video, an audio clip, a file) and each edge passes output from one node into the next, so a multi-step pipeline (reference image to image to video to voiceover to final cut) lives visually on one infinite canvas instead of across separate tools and chat threads. Describe what you want and the Mel agent wires the nodes for you, routes each one to the right model, and shows every prompt so you can rewire or re-run any step. It is not affiliated with Melius Research, Melius Inc, or other organizations that share the "Melius" name.

Focus areas: Node-based creative canvas, AI canvas, Node-based AI workflows, Infinite canvas for creative work, AI image generation, AI video generation, AI audio and voice generation, Generative AI, AI creative tools, Multi-model AI workflows, AI agents for creative work.

## How the node-based canvas works
- Nodes are the creative units: text prompts, images, video, audio, and uploaded files. Each node holds its own model, settings, and version history.
- Edges connect nodes and pass output forward, so one node's result becomes the next node's input. That is how multi-step pipelines are built.
- The canvas is infinite and zoomable. Branches run side by side, so you can compare variations of the same step instead of overwriting them.
- Any node can be re-run after editing its prompt or swapping its model; downstream nodes re-run from the new result.
- The Mel agent builds and edits the graph for you. It creates nodes, connects edges, picks models, and runs the workflow, and every prompt it wrote stays editable.
- Reusable templates capture a working graph so a proven workflow can be re-run with new inputs.
- Canvases are real-time multiplayer, and external agents can drive the same graph over MCP or the CLI.

## What Melius is good for
- Video production: storyboard, generate shots, keep takes on separate branches, then assemble and export in the built-in multi-track editor.
- Advertising and campaign creative: build one graph per concept, then fan a locked concept out to every placement and aspect ratio.
- E-commerce product imagery: reuse one product photo as a reference node across lifestyle scenes, backgrounds, and marketplace crops.
- Brand and design systems: pin brand assets, fonts, and reference images as nodes so every downstream generation stays on-brand.
- Marketing content at volume: templates plus batch runs turn an approved workflow into repeatable output.
- Agencies and creative teams: shared canvases make the whole pipeline reviewable, so feedback lands on a specific node rather than a final file.

## Key pages
- [Melius home](https://www.melius.c
…

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