Graphon raises US$35M Series A for agent memory graphs
The notable point is that a schema-free graph beats full-context frontier models on long-horizon recall while cutting token spend 10x, which directly attacks the cost wall of context stuffing. Teams building persistent agents over messy enterprise data — emails, media, documents — should evaluate it against vector RAG pipelines. With US$35M in fresh funding and benchmark leadership on ATM-Bench, it is a credible early option for memory infrastructure.
