· ai-devtools
BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model
Furthermore, proprietary models offer limited customization for specific workflows, while posing risks to privacy, data control, and transparency.
Besides, not every task demands frontier-level intelligence: small, specialized agents can be equally capable on specific tasks and significantly cheaper to run, since many routine or smaller workloads can be processed efficiently on-device. As intelligence per parameter continues to improve rapidly, we aim to stand at the forefront of this shift toward performant, privacy-focused, self-hosted models. Tether AI Research introduces BotPsy, a 0.8B-parameter model introduce BotPsy, a 0.8B-parameter model designed for function calling and agentic workflows, built on top of Qwen3.5-0.8B and suitable for on-device deployment.
