ljquan/opentu
开放的AI应用平台
What it solves
Opentu provides a unified, canvas-based workspace for AI tasks, solving the fragmentation that occurs when users have to switch between different models, tools, and assets while managing complex creative or analytical workflows.
How it works
It functions as an AI application platform that connects multi-model generation (text, image, video, audio) with a canvas workspace. The platform uses a task queue and asset library to manage generated results and allows users to integrate internal React tools, iframe-based tools, and specialized AI agents to execute tasks continuously within a single environment.
Who it’s for
It is designed for users who need to orchestrate complex AI-driven content creation, such as those building flowcharts, mind maps, or PPT presentations, and those who require a structured workspace to manage AI-generated assets and knowledge flows.
Highlights
- Canvas-Centric Workspace: A central area to host AI tasks, frames, tools, and knowledge base content.
- Multi-Model Routing: Unified scheduling for text, image, video, audio, and agent-based workflows.
- Integrated Content Tools: Built-in support for Markdown, Mermaid diagrams, and PPT export.
- Extensible Architecture: Supports a plugin-based runtime with Skill/Agent extensions and iframe tool integration.
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