Ensu

Ensu is a privacy-first local LLM application built by Ente that lets you run large language models directly on your own device — no data ever leaves your machine. It is part of Ente's open-source ecosystem, designed for users who want the power of AI assistants without sacrificing privacy or relying on cloud services. Ensu is built with the same philosophy as Ente Photos and Ente Auth: open source, transparent, and community-driven.

• Local inference — All AI processing happens on-device; your conversations and data never touch external servers.
• Privacy by design — No accounts, no telemetry, no cloud dependency required to use the app.
• Open source — The full source code is publicly available on GitHub under Ente's open-source repository, allowing community inspection and contribution.
• LLM support — Run popular open-weight language models locally for chat, Q&A, and text generation tasks.
• Built by Ente — Developed by the same team behind Ente Photos, a well-regarded privacy-focused photo backup service with 25k+ GitHub stars.
• Cross-platform potential — Leverages Ente's existing multi-platform engineering expertise across desktop and mobile targets.
• Community-backed — Supported by an active open-source community on Discord, GitHub, Reddit, and Mastodon.