Palmier Pro – Open‑source macOS video editor with built‑in AI

Palmier Pro – Open‑source macOS video editor with built‑in AI

Overview

Palmier Pro is an open‑source macOS video editor designed to let AI agents perform editing tasks inside the application.

Key Features

  • Project management: create, import media from URLs or the filesystem, and organize assets in folders.
  • Media search: uses SigLIP2 embeddings to search video frames locally.
  • Timeline editing: supports track, clip, and keyframe operations.
  • AI generation: can produce images, video, sound effects, captions, and music via built‑in tools.
  • Export: renders the final video.

AI Integration

The editor exposes two interaction paths for LLMs:

  1. Local MCP server – clients connect to this server to call the same tools used by the in‑app chat.
  2. In‑app chat – a UI component that talks directly to the editor’s API. Both paths provide the agent with the ability to manage projects, import media, search by embedding, edit the timeline, generate assets, and export.

Technical Stack

  • Built in Swift for performance and minimal dependencies.
  • Uses native macOS frameworks: SpeechAnalyzer for local transcription, CoreML for model execution.
  • Runs several open‑source models employed locally: SigLIP2 for frame embeddings, beat_this for beat detection, Silero VAD for silence detection.
  • No Node.js or webview is used.

Platform Support

Currently supports macOS 26 only; Linux and Windows are not supported at this time.

Community Feedback

Commenters noted the following points:

  • Interest in comparing Palmier Pro to other open‑source editors such as FableCut.
  • Appreciation for the native Swift implementation and the focus on macOS.
  • Enthusiasm for automating repetitive tasks like extracting speaker segments or creating shorts from long footage.
  • Requests for alternative pricing models (e.g., selling credits instead of subscriptions).
  • Desire for future features such as 360‑video support, browser tabs for AI generation, and code‑based video rendering via MoviePy or Remotion.
  • Some skepticism about whether automating editing removes subtle creative decisions.

These observations reflect the community’s excitement about AI‑assisted editing and their suggestions for future directions.

Sources