Tokyo AI Event Explores Agentic Memory and Retrieval on Edge Devices
Stefania_druga · x · 2026-08-27
Tokyo AI is hosting an event titled "Constrained Autonomy: AI Models, Memory, and Retrieval at the Edge." The session examines practical engineering challenges of deploying AI to constrained physical systems, covering the economics of local LLM inference, the design of agentic memory harnesses, and embedded vector search for offline autonomy. Speakers from Liquid AI, Sakana AI, and Qdrant will present, targeting engineers in robotics, applied ML, and embedded systems.
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