Workspace Models: Memory Architecture Turns Reasoning Agents into Robot Policies
jajoosam · x · 2026-10-01
A new paper introduces Workspace Models, a memory architecture designed as a latent harness for strong reasoning models in robotics. The core question: agentic harnesses are hot for long-horizon robot tasks needing complex reasoning and memory—but what does it take to turn a reasoning agent into a reactive, reliable, low-latency robot policy? The authors lay out their approach in a 9-part thread.
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