GoalKeeper — A Memory-Aware Privacy Gate for AI Agents AI agents make HR data easier to access, but even simple questions can expose sensitive employee information. GoalKeeper helps organizations use AI safely. It checks user permissions, protects small groups, and remembers past queries to detect privacy risks across conversations. It can recognize repeated attempts even when questions are worded differently, flag risky behavior for review, and adjust access based on historical roles and departments. GoalKeeper remembers what has been asked to protect what should stay private.
More from Agents in Context Toronto: a MongoDB Hackathon
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…

Venues 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…
New 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…
