Research project
CurveMemory is a promising routing experiment.
CurveMemory explores geometric, CPU-first routing for AI memory and large knowledge spaces. It is not the current product headline. The commercial focus is Trajbl: a post-retrieval context compressor that can plug into existing RAG and agent stacks.
QUERY ROUTED0.109 ms
Research status
Useful ideas, not the main market claim.
CurveMemory may later contribute routing, ingest, or memory-classification ideas. For now it is presented as a research track behind the primary Trajbl product.
Geometric routing
Explores routing a query into compact semantic regions before broader retrieval work begins.
CPU-first design
Early measurements show very small routing latency and memory footprint.
Ingest-aware thinking
The project contains ideas around organizing memory before query time.
Research track
Promising, but not yet the product claim we want to put in front of customers.