very proud to share some of our first work at Engram! These days, we have many tools for models to learn and remember: learning knowledge in weights, writing text files, practice with RL, on-policy distillation, etc. We've been thinking about what it would look like to have an agent that uses many kinds of memory natively, the same way human experts learn over time. it doesn't look like memorizing everything in weights, or grooming an elaborate system of notes, but naturally integrating all of these together to familiarize yourself in the same context day after day. We put our agent to work in Calderwood & Harkness, a 100M token synthetic law firm from our friends at Harvey, and are super excited to show a first preview of what this kind of system could look like!