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Update
What changedTokenPost reports that Liquid Context is designed for phones, wearables, PCs and vehicles, with optimisation for Qualcomm Snapdragon processors and the Hexagon neural processing unit. That makes the project’s intended reach more concrete than a general promise of on-device personal AI.
The system is designed to learn routines, preferences and needs from permitted device signals, then keep that context locally. Liquid AI describes it as separate from the agents that use it, rather than one ever-growing memory file doing every job.
Those agents may run on the device, in the cloud or across both, and can use the context to suggest actions or perform tasks with user permission, TokenPost reports. The company also says it separately optimised its memory layer and LFM2.5-2.6B agentic model for Snapdragon processors.
Sources and evidence- Liquid AI Builds On-Device Context Layer for Personal AI Agents – TOKENPOST: TokenPost reports that Liquid Context is designed to maintain local personal context on Snapdragon-optimised phones, wearables, PCs and vehicles, for use by authorised agents that may run locally, in the cloud or across both.
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