Vresk brings open models such as Kimi, DeepSeek, Qwen, and Llama into one workspace, automatically choosing a model for each task while preserving notes, history, and memory across switches.
Features
- Unified access to open models
- Automatic task-based routing
- Context retained across models
Use Cases
- Compare model outputs
- Centralize AI work
- Create answers, widgets, and decks
FAQ
Vresk brings open models such as Kimi, DeepSeek, Qwen, and Llama into one workspace, automatically choosing a model for each task while preserving notes, history, and memory across switches. Core capabilities include: Unified access to open models, Automatic task-based routing, Context retained across models.
Common scenarios include: Compare model outputs, Centralize AI work, Create answers, widgets, and decks.
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