Ensu is Ente's offline LLM app designed to provide local language model capabilities, emphasizing privacy and control for users. The app aims to bridge the gap between advanced models and those that can run on personal devices, with its first release now available for download.

Qwen3.5-9B achieves a score of 93.8%, closely trailing GPT-5.4, while operating entirely on a MacBook Pro M5 at 25 tok/s and 765ms TTFT, using 13.8 GB of unified memory. The benchmark evaluates 96 tests across 15 suites focusing on tool use, security classification, and event deduplication, with zero API costs and full data privacy.

A locally hosted voice assistant has been developed using HomeAssistant's assist feature, leveraging local first technology and llama.cpp. The transition from Google Home to this setup involved specific decisions tailored to enhance reliability and user experience.

ggml.ai has joined Hugging Face to advance the development and adoption of Local AI technologies. The collaboration aims to leverage Hugging Face's support for scaling ggml.ai's efforts since its founding in 2023.