UniVA Introduces Open Source Video Generation Agent

UniVA agent interface showing editable config files, scene generation steps, and community plugin modules.
For devs and builders, UniVA offers a transparent, modular approach to AI video.

UniVA has released a fully open source video generation agent designed to help developers build automated video workflows. The agent supports prompt based generation, editing actions and multi step task execution.Key features include:

  • Flexible modular architecture
  • Extensible plugins for new tools
  • Support for both text and image inputs

This gives users more freedom to customise their video pipelines.

Workflow automation becomes more accessible

The agent can perform chained actions, allowing tasks like scene creation, editing and rendering to run automatically. This reduces manual involvement and speeds up production.Common automated flows:

  1. Generate initial scene
  2. Apply visual effects
  3. Insert subtitles
  4. Export final clip

Developers gain deeper control with API access

UniVA provides a detailed API that lets developers integrate the agent into existing software. Functions for prompting, editing and rendering can be executed programmatically.

Capability

Benefit

API based editing

Automated corrections

Custom prompt handlers

Tailored output styles

Remote execution

Team wide access

This opens the door for more complex video applications.

Open source structure encourages community innovation

The project is hosted in a public repository, allowing developers to contribute new modules, tools and improvements. This helps the ecosystem grow faster and ensures continuous updates. Community workflows like this are also seen in music motion models such as Seedance, where open experimentation leads to rapid feature growth.

Community driven development supports:

  • New animation plugins
  • Additional rendering tools
  • Custom scene generators

Improved consistency across multi step tasks

The agent tracks context across different steps, ensuring that characters, colours and motion styles remain consistent. This avoids the disconnect that can happen when using separate tools manually. Models with strong cross step stability, such as those discussed in our piece on Hailuo by Minimax, show how important unified behaviour is when building longer sequences.

Useful for:

  • Narrative sequences
  • Educational content
  • Multi scene explainers

Why UniVA’s release matters for builders and creators

By combining automation, open source flexibility and API level control, UniVA gives developers a framework to build advanced video creation systems. It reduces bottlenecks, supports collaboration and offers a foundation for customised AI driven video tools. These trends line up with broader shifts highlighted in our guide to AI video trends, where modular ecosystems and agentic workflows are becoming core to next generation tools.

Want to Explore What This Unlocks for You?

UniVA’s open source agent gives builders a cleaner path into automated video workflows, so if you want to see how their system works in action you can check out this video. It is a fun way to peek under the hood and think about how you might shape your own tools or automate the repetitive parts of your video pipeline. No pressure to build something huge, just play around and get a feel for how flexible open source can be for creatives and developers.

And if you also want to experiment with making AI videos yourself, you can try creating inside Focal, where you get access to multiple AI models in one place. It is simple, fast and surprisingly fun to test ideas and watch them turn into motion. Give Focal a try and see what you can make.

Tools like UniVA show what’s possible. Use Focal to try your own video generation pipeline with clean prompts and flexible outputs.

📧 Got questions? Email us at [email protected] or click the Support button in the top right corner of the app (you must be logged in). We actually respond.