New AI Assistant QVAC from Tether
Tether's Chief Technology Officer, Paolo Ardoino, recently announced on the X platform that the company is testing a new AI assistant named QVAC. This tool not only supports the MCP multi-skill framework but also integrates with third-party services for task collaboration, such as the project management platform Asana.
Enhanced Multi-Task Capabilities
One of QVAC's key features is its powerful multi-tasking ability. Through the MCP framework, it can perform multiple operations simultaneously, such as analyzing data while generating reports or accessing external information while conversing with users.
Local Inference for Privacy and Efficiency
Ardoino emphasized that QVAC can achieve 100% local inference on standard laptop GPUs. This means users don't need to rely on cloud computing, thus enhancing privacy and response speed.
- Supports MCP multi-skill framework
- Integrates with third-party tools
- Runs on standard laptop GPUs
- Full local AI inference
This advancement marks a significant step for Tether in the field of artificial intelligence and provides a new direction for the development of AI assistants in the future.