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Rei Labs•August 6, 2026
Adapt-1
Open Source
Neuro-symbolic
Test-time learning
AI Research
Autonomous Systems
### TL;DR
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 Insights & Metrics
Pricing
Research preview (free for evaluation and experimentation)
Cost structure
Version
Preview
Current release version
Hardware
Run efficiently on standard CPUs, with GPUs only required if you choose to route external, heavy visual processing tasks to them
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region
Key Features
- Pretraining-free, non-transformer neuro-symbolic architecture
- Real-time test-time learning and adaptation
- Inspectable state with clear decision provenance
- Low-latency operation with compact persistent state
- Outcome-gated updates to prevent self-reinforcing bias
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