Stash: agent memory across sessions, laptops, models and teammates. When an agent’s session ends, everything it learned is lost: what it tried, what worked, what failed. The next agent starts from zero. Stash saves that knowledge with its evidence, so any agent, on any laptop or model, continues where the last one stopped. Repeated mistakes become rules a person approves, so your organization’s agents get smarter with every session.
Team
We simulate real world agent to agent systems built on MongoDB, Langchain (harnesses) ready for use in production to defend all systems. A swarm of real AI…
suture is an incident-recovery agent that finishes the job even when its worker crashes mid-run. Cleaning up a leaked key takes a chain of writes across…
+1Venues play one playlist for everyone, and the apps that let guests shape the music keep their likes on view with no easy way to take them back. Musory: your…
Robots are starting to learn from people, and fleets can share what one robot learns with every other robot. Nobody can yet answer three questions: who taught…
Phylax Tower is a safety net for airport control towers. In March 2026 at LaGuardia, a jet was cleared to land, and two minutes later a fire truck was cleared…
+1New hires hit the ground at light speed. New devs lose their first days juggling broken setup guides, each solving the same problems alone. Day One finishes…
