Most people use AI as a chatbot. Ask a question, get an answer, move on.
I run fleets of autonomous AI agents that build software, analyze commodity markets, research the web, and create content - all while I’m doing something else entirely. Sometimes while I’m sleeping.
#The Setup
Right now I have four AI agents running on a Mac Mini in my home office:
- Hope - my personal strategist and coach
- Webdev - handles all my web development
- Worker - heavy-duty parallel processing
- Experimental - the R&D lab where wild ideas get tested
Each agent has its own personality, its own memory, its own workspace. They communicate across Signal, Discord, and Telegram. They have heartbeats - checking in every 5 minutes to see if anything needs attention.
#Why Multi-Agent?
The single-agent approach hits a wall fast. One context window. One set of instructions. One personality trying to do everything.
With multi-agent architectures, each agent specializes. Hope knows my goals, my schedule, my portfolio. The webdev agent knows my codebase. The worker handles bulk processing jobs. They don’t step on each other’s toes.
#What I’ve Learned
After months of running this setup, here’s what I know:
- Memory is everything. Agents that can’t remember yesterday are useless today. File-based memory beats “mental notes” every time.
- Heartbeats keep agents alive. Without periodic check-ins, agents go dormant. A 5-minute heartbeat cycle keeps everything responsive.
- Context windows are the real bottleneck. Not model intelligence. Not speed. The context window determines what an agent can hold in its head at once.
- Agents need personality. A generic assistant gives generic answers. An agent with a defined role, style, and mission gives focused, actionable output.
#The Stack
Everything runs on Cloudflare’s developer platform - Workers, Pages, D1, KV. The agents are powered by Claude Opus through OpenClaw. It’s remarkably affordable for what it does.
This is just the beginning. The autonomous AI era is here, and most people haven’t even noticed yet.
More on this soon. Let’s go.