taOS is a self-hosted AI agent operating system that provides a web desktop, multi-agent containers, persistent memory, local model management, and cluster inference. It is designed for developers and privacy-conscious users who want to run agents, conversations, and data on their own hardware, including single-board computers.
In the Frameworks & runtimes space, taOS takes a focused approach. It focuses on running AI agents and storing their memory privately on hardware you control instead of relying on hosted platforms. It is built as an open-source project for developers and privacy-conscious AI enthusiasts. It runs on the web and the command line, and it can be self-hosted.
Behind taOS is jaylfc, based in Malaysia, and it first shipped in 2026. The project is developed in the open on GitHub with 498 stars and 2.8k commits in the last 90 days. Among its 10 catalogued features are web desktop, multi-agent containers, and offline memory.
Summary written by a language model from the project’s public pages.
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