diffusionstudio/editor

The VS Code of video editing, built for agents.

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diffusionstudio/editor has 3k+ stars and 300+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 15 minutes ago
Added to GitGenius on September 22nd, 2026
Created on July 7th, 2026
Open Issues & Pull Requests: 34 (+0)
GitHub issues: Enabled
Number of forks: 306
Total Stargazers: 3,335 (+0)
Total Subscribers: 12 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.9 days
Mean response time: 12.3 days
90th percentile: 36.9 days
Tracked items: 17

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 15
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 11 days
Stale 30+ days: 7
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Diffusion Studio is a video editor built for AI agents that converts edits into code and code into video.

The tool addresses the challenge of automating video production by enabling AI agents to perform complex editing tasks through a code-first interface. When you provide raw footage and describe the desired output in natural language, an agent handles the entire workflow—cutting clips, removing filler, adding subtitles, applying color correction, generating motion graphics, and rendering the final video. Every edit made in the interface is written to real code, ensuring the agent always sees the latest version of the project. The tool supports integration with multiple AI models including Claude Code, Codex, and others through an MCP server that registers with your agent automatically.

The tool suits workflows where video production is repetitive or where you want to leverage AI agents for tasks like creating social media clips from long-form content, generating motion graphics and title sequences, or extracting and understanding scenes from video. It works both through a desktop application with a full editing environment and in headless mode for automation. The README does not compare it to other video editors or agent-driven tools.

The project maintains active community engagement through Discord and social channels. Development activity shows consistent iteration on the core editing and agent integration capabilities, with the tool expanding to support video understanding features like summaries and scene search alongside traditional editing operations.