wunjo.wladradchenko.ru
Modular open-source video editor with AI plugins for face swapping, object removal, lip-sync, and automated editing.
An open-source editor with plugins for face swap, object removal, voice cloning, and MCP agent control.
Wunjo Make is an open-source video editing application built on the Kdenlive codebase. You can use it to apply targeted AI transformations—such as face swapping, object removal, and lip sync—to your photos and video footage. It suits media creators and photographers who want local control or API integration without relying on closed proprietary platforms.
What it is
The editor combines classic timeline controls with a plugin architecture that handles AI tasks like face swapping, depth mapping, object removal, and speech cloning. It includes an integrated Model Context Protocol (MCP) server, allowing AI assistants like Claude Code or Cursor to write and execute video edits directly. You can install only the neural network plugins you need, or run generation remotely via API services.
Who it's for
This tool suits photographers and video creators who want an extensible timeline editor with AI transformation capabilities. It works well for creators interested in automated sequence editing using local hardware or external AI agents. It does not suit editors looking for a finished out-of-the-box toolkit without managing plugin installations or API keys.
Key features
Kdenlive-Based Video Timeline
Edit media on a full non-linear timeline derived from the open-source Kdenlive editor codebase.
Model Context Protocol Integration
Connect external AI agents like Claude Code or Cursor to drive editing operations directly through a built-in MCP server.
Modular AI Plugin Architecture
Download lightweight individual plugins for tasks like Live Portrait, face swapping, lip sync, and audio separation.
Custom Plugin Creation
Write your own custom Python plugins to integrate self-hosted models or external generation APIs.
Up and running in 3 steps
Our honest verdict
What's great
- Runs cross-platform on Linux, Windows, and macOS.
- Integrates an MCP server so external agents like Claude Code can manipulate the timeline.
- Modular plugin setup keeps the base video editor lightweight.
- Supports both local hardware processing and remote API services.
Where it falls short
- Running heavy local model plugins requires a dedicated GPU with at least 8GB VRAM and CUDA 12.x.
- Version 3 transition moved core v2 features into separate plugins that must be installed individually.
- Using cloud API integrations or commercial LLM agents incurs external API service costs.
Pricing & license
Wunjo Make is free under the GPL-3.0 license. Operating costs depend on whether you process models locally on your GPU hardware or use paid third-party API services for generation and agent LLMs.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
Can I run Wunjo Make on macOS without an Nvidia GPU?
Yes. The editor and MCP server run natively on macOS, while hardware-heavy local models can be offloaded to cloud API plugins.
What happened to Wunjo v2 Community Edition?
Wunjo v2 is discontinued but still available in legacy repository branches, while v3 replaces it as a unified modular editor.
