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Rei Labs·Aug 6, 2026·Preview·open source

Adapt-1

Adapt-1 Preview is a non-transformer, neuro-symbolic substrate designed for test-time learning. It enables applications to learn and adapt while operating by maintaining a persistent, inspectable state without requiring task-specific pretraining or an LLM in the decision loop.

Neuro-symbolicTest-time learningAI ResearchAutonomous Systems
overview

Adapt-1 Preview is a non-transformer, neuro-symbolic substrate designed for test-time learning. It enables applications to learn and adapt while operating by maintaining a persistent, inspectable state without requiring task-specific pretraining or an LLM in the decision loop.

key features
  • 01Pretraining-free, non-transformer neuro-symbolic architecture
  • 02Real-time test-time learning and adaptation
  • 03Inspectable state with clear decision provenance
  • 04Low-latency operation with compact persistent state
  • 05Outcome-gated updates to prevent self-reinforcing bias
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