Not a course. Not a SaaS product. Direct access to the team.
Architecture office hours, install packets, research drops, and a direct line to the builders running 5 daemons across 17,900+ knowledge nodes on $50/month infrastructure.
Tutorials show you how to chain two API calls. Production shows you what happens at 3AM when your memory graph corrupts, your daemon enters a retry loop, and your NATS stream backs up to 9,500 messages.
Building an agent in a notebook is day 1. Keeping it alive in production is the other 364.
Memory corruption, daemon drift, token exhaustion — you only learn these by running a mesh.
AI Twitter is noise. You need a room of people who've debugged a 5-daemon fleet at 2AM.
# Install the operator packet
./install.sh --tier operator
# Start your mesh
docker compose up -d
# Launch your first daemon
./scripts/daemon-shell.sh sensei
Sensei online. MIG connected.
17,900 nodes. 49 sentinels.
Mesh operational.
Every pattern comes from a system in production. Not a whiteboard.
Production-ready configs: CLAUDE.md, daemon templates, MCP server setup, Docker compose stacks, NATS work queues, sentinel patterns. Copy, paste, run.
Weekly live sessions. Bring your architecture, incidents, questions. We debug live.
Monthly deep research from our autonomous pipeline. 472+ classified docs across 7 domains.
Audit, build, research, triage — agent modes that work.
Private Slack channel with the engineering team. Answers from operators who've seen it before.
What we shipped, what broke, what we learned. Pure operational signal.
Neo4j, NATS, sentinels, work queues. One command to launch your mesh.
We don't teach theory. We share what's running. Every pattern comes from a system processing 17,900+ knowledge nodes across 5 daemons on 3 VPS nodes costing less than $50/month. When we say "this works," we mean it's running right now.
For serious operators. No free tier.
/month
/month
/month
The gap between building an agent demo and running an agent fleet is everything we learned the hard way. Skip the hard way.