Better Context. Less Space. All Models.
We build AI infrastructure that makes every token count.
Amnesia Labs builds tools that give AI agents the memory and efficiency they've never had.
AI Memory That Learns
Persistent context management modeled on biological memory. Four specialized stores, intelligent routing, outcome-based learning.
Learn more →Compression Without Compromise
AI-native encoding that delivers context in fewer tokens. Up to 28% reduction. In 48% of 7,948 benchmark tests, compressed context outperforms the original.
Learn more →Raw context in. Packed, model-ready context out. Fewer tokens — and often better accuracy.
Up to 28% token reduction. Compressed often outperforms the original.
The brain doesn't store raw data. It encodes patterns, reinforces what works, and lets everything else decay. We took the same architecture—hippocampal indexing, cortical consolidation, temporal scoring—and turned it into infrastructure. Biology solved the context problem billions of years ago. We just translated the answer.
This cross-domain thinking drives everything we build. Music theory informs our compression harmonics. Information theory shapes our encoding. Neuroscience structures our memory stores. The best patterns aren't invented—they're discovered where disciplines intersect.
Request early access to Brain, BrainPack, or both.