Shared Intelligence for Humans and AI Agents: How Engram Built Our Company Brain

Jensen Huang famously runs Nvidia with 60+ direct reports and skips 1-on-1s by giving everyone equal access to information and reasoning. It sounds brilliant... until you try it in a fast-moving startup or with dozens of AI agents and suddenly everyone (and every agent) is drowning in lost context, hallucinations, parallel drift, and rediscovered problems.

At our fintech startup Easy we solved this by building Engram, our shared intelligence layer and living Company Brain. Engram automatically ingests everything and turns it into a rich, self-organizing collective memory for both our team and our AI agents.

The result? A 28x productivity boost.

In this session we’ll show exactly how Engram works: the five-layer memory stack, mycelium-inspired self-organization, provenance chains for trustworthy autonomy, and the always-on Curator that surfaces business patterns. You’ll see real examples of how it turns session amnesia into shared superintelligence, and we’ll walk through how to set it up yourself (it’s open source and runs in a handful of commands).

Whether you’re running agents in a startup or just want to stop re-explaining the same decisions, you’ll leave with practical steps to implement collective memory in your own operations.

Links for the program/notes: GitHub → https://github.com/itseasyco/engram

• Intermediate
• Development
• Startups
• Emerging Tech
• AI/ML