Reflex-1
Decision models for agentsA 421M-parameter model for tool routing, intent classification and action selection. Public weights; runs on CPU or GPU.
Public weights
Independent research in machine intelligence
We build intelligence that learns from experience and acts in the world.
Our workRecorded in the re1 viewer. A completed scene, revisited in 3D.
A 421M-parameter model for tool routing, intent classification and action selection. Public weights; runs on CPU or GPU.
Robot control with recurrent memory. 94.50% native LIBERO success in a 217M-parameter policy.
Persistent agents that work in your tools, remember your projects and build what you need.
Persistent video memory, scene reconstruction and simulation artifacts for physical-AI research.
Research in progress.