Editable multitrack timeline
OpenChatCut uses a real multitrack timeline, so edits land on tracks, clips, captions, transitions, effects, keyframes, and history rather than a flattened render.
OpenChatCut
OpenChatCut is an open-source, local-first AI video editor that lets agents edit a real multitrack timeline instead of generating a flattened video. It is built for creators, editors, and developers who want conversational editing with editable exports and optional external-agent workflows.
What OpenChatCut is
OpenChatCut is an open-source, local-first AI video editor built around a real multitrack timeline. Instead of generating a finished video in one shot, it lets an agent make concrete edits to the project so the result remains previewable, reversible, and ready for further manual work.
The product is aimed at editors, creators, and developers who want AI assistance inside an actual editing workflow. It supports conversational edits, external agents such as Codex and Claude through MCP, and exports that can move into broader production pipelines.
Core capabilities
Conversation-driven editing
You can direct the edit in natural language, and the agent reads the project before making changes. It can use the media, transcript, current selection, and timeline state to decide what to do.
Model-agnostic agent support
The product supports Codex, Claude, and other agents through MCP, plugins, and templates, so you can bring your own agent workflow instead of being locked to one model.
Editable actions, not one-shot output
Built-in tools and MCP let the agent perform deterministic edit actions such as trimming, captions, ducking, transitions, and other timeline operations.
Production export options
The docs say OpenChatCut can export video, audio, captions, and project formats such as FCPXML, making it usable in production handoff workflows.
Local-first and auditable
OpenChatCut is local-first and open source. Projects and media stay on the user’s machine by default, and the code can be audited or run from source.
Practical use cases
Drafting interview and talking-head edits
Creators can ask an agent to organize footage, trim dead space, add captions, and assemble a first pass on the timeline before they polish the cut manually.
Iterative revisions on long-form projects
Podcasters and video teams can keep captions, music, and transitions editable while refining pacing and audio balance across an existing project.
Building agent-driven editing tools
Developers can connect Codex, Claude Code, or another agent through MCP to test agent-native editing workflows against a real timeline.
Production handoff and export
Editors who already hand off to another NLE can export project formats such as FCPXML, along with video, audio, and captions, for downstream work.
Local-first editing for private media
Teams working with local or sensitive media can keep projects on-device by default and avoid requiring a cloud account just to create a project.
Pros and Cons
Pros
- Edits happen on a real timeline, which keeps changes visible, inspectable, and undoable.
- The workflow supports iterative revision instead of forcing a new render every time something changes.
- Open source and free to download, with no pricing wall on the site.
- Local-first storage keeps projects and media on the user’s machine by default.
- Model-agnostic support lets you use built-in agents or connect external ones through MCP.
Cons
- It is not a one-click video generator, so you still need source media and basic editorial judgment.
- Some platform behavior depends on the current release; for example, docs note that export capabilities can vary and early desktop builds may be unsigned.
FAQ
How do I set up OpenChatCut?
OpenChatCut is designed to work from a local desktop project. The docs say you can install a desktop build or run it from source, and that projects and media stay on your machine by default, with optional online models and remote storage add-ons.
What is the basic editing workflow?
The workflow is: import media, describe the edit in chat, let the agent change the timeline, then review and refine the result in the preview. The source also says the agent can read the project, current selection, transcript, and timeline state before making edits.
What can I export from OpenChatCut?
OpenChatCut exports video, audio, captions, and project formats such as FCPXML, with capabilities depending on the current release. The docs also mention frame range, resolution, and progress feedback during export.
How is OpenChatCut different from pure AI video generators?
OpenChatCut is built around a real multitrack timeline, so the result stays editable and undoable instead of becoming a flattened file. The site contrasts this with pure generation, where you often cannot revise individual details after rendering.
Which AI agents and integrations does it support?
OpenChatCut supports the built-in agent plus external agents such as Codex and Claude Code through MCP. The docs say it exposes a local Streamable HTTP MCP endpoint for connecting external tools.
Quick Facts
- Category
- Video Editing
- Product type
- Open-source AI video editor
- Platform
- Desktop app; source-based install available
- Primary users
- Creators, editors, teams, and developers working with agent-assisted video workflows
- Source domain
- openchatcut.com
- Pricing
- Free and open source; no paid plans listed
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