Products/Video editing, AI Video Editor, Design Tools, Productivity, Artificial Intelligence/Monet

Monet

Edit Videos and Design Images with Claude Code and Codex

Video editing, AI Video Editor, Design Tools, Productivity, Artificial Intelligence1 peopleFounded 2026Terminal-native interface with real PTY (not chat input)Integration with Claude Code and Codex coding agentsMonet Canvas for vector graphics, physics simulations, and kinetic text designeditorctl CLI for agent controlMCP (Model Context Protocol) integrationHTTP bridge for agent APIsLocal-first storage - projects and transcripts stay on machineOpen source on GitHubPaper.js / Matter.js / HTML canvas design that auto-imports to timelineSemantic transcript searchRemotion composition rendering
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Our Take

Monet is the terminal-native video editor that gives coding agents like Claude Code and Codex actual keys to the kingdom instead of just chatting at them through a chatbot interface — users click Terminal and the agent has full project context to scrub timelines, trim clips, render Remotion compositions, and even design kinetic graphics in Monet Canvas that auto-import to the timeline, which is the kind of deterministic control that developers automating video workflows have been waiting for. The traction is teeny (28 users, Day Rank #52), but for a one-person open-source project founded in 2026 with a free tier, that's the expected starting point — the real question is whether the niche of devs who want to code their video editing will actually adopt this or just play with it.

A terminal-native AI video editor that integrates with coding agents like Claude Code and Codex. Users can click Terminal and their favorite coding agent is already in the room with full project context to scrub the timeline, trim clips, generate captions, search transcripts semantically, render Remotion compositions, and design with Monet Canvas.

Problem It Solves
Traditional AI video editors feel like chatbots bolted onto a timeline where users generate a clip, hope it works, and try again. The AI agent never actually operated the editor. Monet flips this by giving coding agents full control to operate the editor directly through terminal, CLI, and APIs.
Target Customer
Video editors and creators who prefer working with AI coding agents, developers who want to automate video editing workflows, and those who want local-first video editing with open-source tools.
Use Cases
AI-assisted video editing through coding agents, Automated video editing workflows via CLI, Creating kinetic text and graphics with code, Local-first video projects without cloud dependencies, Building video editing automations with AI agents
Free Tier
true
Differentiator
Terminal-native AI video editor with real PTY, not a chat interface. Integrates coding agents directly into the editing workflow with full project context. Includes Monet Canvas for designing graphics that automatically import to the timeline. Local-first and open source.
Why Now
The rise of AI coding agents like Claude Code and Codex has created demand for editors that these agents can actually operate, not just generate clips from. Video editing needed a terminal-native approach with deterministic agent control.
Traction
User Count: 28 · Notable Metrics: 70 Product Hunt points, Day Rank #52

Key Facts

Category
Video editing, AI Video Editor, Design Tools, Productivity, Artificial Intelligence
Founded
2026
Team Size
1 people
Pricing
Free
Discovered via
product-hunt

The people behind Monet

H

Het Patel

profile

Links

WebsiteGitHubSource: product-hunt

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