What You Are Building
A team of AI agents running 24 hours a day on a small computer in your home or office. Each agent has a name, a personality, and a specific job. They talk to you through Discord. They remember what they have learned, update their own knowledge over time, and handle tasks while you sleep.
This is not a chatbot that you have to prompt every time. It is a team that runs continuously.
“Pulled last 24hrs of emails and calls. Ran the follow-up list, 3 prospects touched. Pushed enterprise pricing to Samantha, SMB deck to Fred. Brochure out to James, Sandeep, and Karl. Pipeline updated across the board. Everything's moving.”
The Hardware
Mac Mini
M-series chip. $600-800. Draws 10 watts. Size of a hardback book.
Windows
OpenClaw runs on Windows. Terminal commands need adaptation.
Virtual Machine
Ubuntu or Debian. 4GB RAM, 2 CPU cores. Great for experimenting.
Do not set this up on your main laptop. Start on a dedicated machine until you understand the system and trust your configuration.
What You Need
How Agents Work
An agent is defined by a set of text files in its workspace folder. These files are loaded automatically at the start of every session.
SOUL.mdWho the agent is. Personality, voice, values.AGENTS.mdHow the agent operates. Startup sequence, delegation.AUTONOMY.mdWhen to act, when to ask, which model to use.USER.mdWho you are. Name, timezone, preferences.TOOLS.mdTechnical setup. Channel IDs, file paths.IDENTITY.mdThe agent's name, model, and Discord identity.MEMORY.mdLong-term curated memory. Updated over time.The Team
| Agent | Role | What they do |
|---|---|---|
| Don Draper | Creative Director | Content creation, social publishing, engagement, analytics |
| Ray Kroc | Business Development | Sales pipeline, proposals, CRM updates, follow-ups |
| Gilfoyle | Systems Engineer | Security, infrastructure, monitoring, skeptical review |
| Dinesh | Generalist | Fast tasks, lightweight work, quick lookups |
| Richard | Chief of Staff | Orchestration, research, routing work between agents |
| Clawdxpert | Platform Expert | OpenClaw configuration, agent setup, maintenance |
| Ted Mosby | Design Engineer | UI/UX, frontend, visual craft |
| Jian-Yang | Reasoning Specialist | Logic, structured problem solving |
Use Cases
Each use case below is a real workflow running in production. For full details on each, visit the Use Cases page.
Build Your Audience
- X, Threads & LinkedIn Content Publishing Engine
- Automated Social Feed Engagement
- Social Post Analytics That Feed Back Into Content
Grow Your Business
- Automated Sales Pipeline & Proposal Generation
- Inbox & Scheduling That Handles Itself
- Social Watchlist Monitoring & Alerts
Build Knowledge
- Searchable Second Brain (4,000+ Notes)
Build Software Faster
- Overnight Coding Team (Architect & Coders)
- Cross-Functional Agent Collaboration
- Design & Frontend Engineering
Keep It Running
- Daily Security Auditing
- Self-Improving Agents
- Automated Nightly Backup to GitHub
- 22 Automated Cron Jobs
- Self-Healing Error Resolution
- Platform Updates
What Makes This Different
This is not a demo or a weekend project. It is a production system that runs every day.
Agents improve themselves
Every week, agents review their own performance and propose changes to their prompts and workflows. You approve what ships.
Complete config, ready to copy
Every workspace file, cron job, and prompt is included. You are not starting from scratch — you are customizing a working system.
22 automated jobs
Content publishing, security audits, backups, analytics, error recovery, and more run on schedule without you touching anything.
Agents talk to each other
When one agent discovers something relevant to another, they route it directly. You do not have to relay context between them.
Security
Your agents have real tool access. They can browse the web, run commands, read files, send emails, and post to social media. This is why the security setup matters.