AI Agent Ecosystem

This is the part I am most actively building: a roster of AI agents wired into how I actually work, led by a tiered ops team that watches my infrastructure. I modeled it on a real IT support org, Tier 1 through Tier 3, plus a shared brain so the agents coordinate instead of stepping on each other.

The tiers

• Alerting. A monitoring layer watches my cloud and local infrastructure, containers, services, network, and app health, and routes anything that looks wrong to the agents.
• Tier 1, read-only. These agents read everything in Grafana, Loki, and Alloy and work out what broke, when, and what it affected. They can only read, which keeps them safe to run loose.
• Tier 2, elevated. When the logs are not enough, a Tier 2 agent can SSH into the server, pull deeper detail, and chase the root cause. If it needs a human, it pages me.
• Me. I log in and fix it, approve an action, or kick it up a level.
• Tier 3. Claude on my local desktop, for the heavy cross-system analysis, root-cause work, and write-ups. The senior engineer of the group.

They run on three-hour timers, so on top of reacting to alerts they do proactive sweeps of both environments and surface problems before they turn into outages.

Cognee: a shared brain

The agents used to work blind to each other and repeat each other’s effort. Cognee fixes that. It is a shared memory layer they all read and write: status, finished work, investigation notes, and context. When one agent changes something, the others see it. I am now pushing the same brain into my sales agents and the personal agents I use day to day.

Where it’s going

The question I keep chasing: what happens when AI agents stop working alone and start working as a coordinated team. This project is me finding out, on infrastructure I actually depend on. Full demos and the rest of the roster (help desk, sales, personal) coming soon.