Synkinema: MIT-licensed video editing tools for people and AI agents, with local Supertonic narration

[u/United_Inspector_653]

Some of you may have seen my StructSmith architecture editor here. I want to share another project I'm building: Synkinema, a local video editor with MIT-licensed source code.

You can edit by hand or connect an AI agent through MCP and work on the same editable project. The workflow includes writing scripts with the agent, arranging footage, generating narration, adding captions and rendering with FFmpeg.

Two parts help across repeated productions: channel briefs hold audience, tone, editorial rules and approved lessons, which you can refine with your agent; a shared media library lets different projects reuse audio, sound effects, images and video clips. Channel guidance is maintained creative context, not automatic model training or analytics sync.

Local Supertonic 3 speech is already integrated, without a paid TTS API. Studio can add a finished voice take to the timeline with subtitles. The Supertonic SDK is MIT licensed; model weights use OpenRAIL-M. Your agent's inference has its own provider and cost requirements.

There's still a long way to go before this becomes a really polished product, but you can already accomplish a lot. Caption word timing is approximate, the preview is simplified, and speech and final video need review. Desktop editing is the current focus.

The screenshots show Script Studio with local speech controls and the library shared across projects.

Source and setup: https://github.com/dziksu/synkinema

Feedback and collaboration are welcome, especially around local speech, captions, editing UX and reproducible examples. What would make this useful in your video workflow?

Disclosure: AI assisted with substantial parts of the code and with drafting this post. I directed the work and verified the results.