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OpenChatCut

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OpenChatCut is an open-source, local-first AI video editor where Codex, Claude, or MCP agents can edit a real multitrack timeline while every change remains visible, reversible, and manually adjustable.

Added on July 30, 2026

OpenChatCut Screenshot

Product Information

What is OpenChatCut?

OpenChatCut is an open-source AI video editor designed around conversational timeline editing. Instead of generating a flattened result, it lets an agent organize footage, trim clips, add captions, place music, and build transitions on a real multitrack timeline. Editors can keep refining the project manually or undo agent actions at any step. It is aimed at creators, video editors, developers, and agent builders who want automation without losing control of the edit.

How to use OpenChatCut?

  1. Download the desktop build or run the open-source project locally.
  2. Import footage, audio, captions, and other assets into a timeline project.
  3. Describe the desired edit, pacing, destination, captions, transitions, or music.
  4. Let a connected AI agent apply changes directly to the multitrack timeline.
  5. Preview, undo, refine manually, or continue giving instructions until the edit is ready to export.

Core Features

  • Conversational editing — Turns plain-language requests into timeline edits instead of static suggestions.
  • Real multitrack timeline — Supports video, audio, captions, effects, transitions, LUTs, motion graphics, and keyframes.
  • Agent integrations — Works with Codex, Claude, MCP agents, plugins, and templates.
  • Visible actions — Keeps every automated change inspectable and reversible inside the project.
  • Local-first workflow — Lets users edit with an open workflow instead of relying on a closed cloud generator.
  • Template and motion support — Helps agents build first-pass motion, transitions, and effects that editors can refine.
  • Open-source foundation — Gives technical users a codebase they can run, inspect, and adapt.

Use Cases

  • Creator editing — Turn rough footage into a first cut by describing the desired pacing and style.
  • Captioned social clips — Ask an agent to trim highlights, add captions, and prepare platform-ready edits.
  • Agent workflow experiments — Connect different AI agents to a real video timeline for automation research.
  • Open-source video production — Keep projects editable and local while still using AI assistance.

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