Mix

Mix offers an open-source, local agent for automating complex multimodal creative workflows across professional software like Blender, Figma, and Logic Pro. It translates natural language prompts into executable commands, enabling AI-powered content generation and analysis for creative teams.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Creative teams face challenges in automating complex multimodal workflows, leading to manual execution of tasks across various professional software. This results in inefficiencies in content generation, analysis, and orchestration, hindering productivity and scalability.

Solution

Mix provides an open-source, local agent designed for complex multimodal tasks, enabling AI-powered creative automation. It allows users to automate marketing video generation in tools like Blender, analyze session recordings, and orchestrate workflows across professional software such as Figma and Logic Pro. The platform acts as a central hub, translating natural language prompts into executable commands for these creative applications. Mix offers a client-server architecture, with a Go backend orchestrating AI agents and tool integrations, and a Tauri frontend providing a desktop application. This setup facilitates flexible deployment and integration into existing development environments.

Target Audience

The primary customers are startups and creative teams seeking to streamline their creative processes through AI-powered automation and integration with professional design and production software.

Features

**Multimodal Workflow Automation**: Orchestrates tasks across professional creative tools including Blender, Figma, and Logic Pro.
**AI-Powered Content Generation**: Automates video creation, audio processing, and visual design based on natural language descriptions.
**Multimedia Content Analysis**: Extracts insights from session recordings and processes multimodal data.
**Client-Server Architecture**: Features a Go backend HTTP server for AI agent orchestration and tool integration, with a Tauri frontend desktop application.
**Plain Text Data Storage**: Ensures data portability by storing project data as plain text and native media files.
**RESTful API**: Provides an HTTP API for custom integrations and embedding the backend into other products.
**Unified Development Environment**: Simplifies setup with a single `make dev` command for starting both frontend and backend.
**AI Model Integration**: Utilizes Claude Sonnet 4 for reasoning and Gemini 2.5 Flash for multimodal analysis.