Multi-Agent AI Setup Guidev1.0.1

An indie developer or technical hobbyist sets up a persistent multi-agent AI system on a 32GB Mac Mini M4 for personal automation, research, and task delegation. They follow the install order (Claude Code first as a safety net, then OpenClaw) and use Kimi k2.5 in the cloud as orchestrator with a local 30B subagent for execution.

A small automation or AI consultancy builds client-facing agent systems and needs a reliable setup guide covering memory persistence, inter-agent communication, and recovery playbooks. They use the lobotomy protection and backup procedures to avoid catastrophic config loss during client demos.

An AI researcher or PhD student orchestrates multiple LLM agents that all read and write to a shared Obsidian vault and MemPalace (ChromaDB) semantic memory. The setup guide helps them avoid sandbox-killed symlinks on external drives while keeping cross-agent context synchronized.

A technically savvy user wants a Claude Code + OpenClaw stack that responds to WhatsApp messages as a personal AI assistant with persistent memory (SOUL.md, AGENTS.md, MEMORY.md). The guide's WhatsApp console loop and pitfall documentation prevent the common self-overwrite failure modes.

An early-stage AI startup with an existing multi-agent deployment on Apple Silicon needs to onboard a new agent without breaking the running system. They use the doctor-avoidance rules, backup-first policy, and Claude Code reviewer role to safely register the new agent into the shared memory architecture.

Sell the battle-tested setup guide as a paid PDF, Notion template, or Gumroad download targeting Mac Mini M4 owners attempting multi-agent setups. The guide's unique value is documenting real failure modes (doctor --repair config destruction, lobotomy, sandbox symlink kills) not found in official docs.

Offer remote or on-site installation and configuration services for clients who want a working OpenClaw + Claude Code stack on their own Apple Silicon hardware but lack the expertise. Includes backup automation, doctor-avoidance guardrails, and Kimi k2.5 orchestrator wiring.

Monetize by curating and referring recommended cloud orchestrator models (Kimi k2.5, GLM-4-Flash, Claude API) through affiliate or referral links embedded in the guide and companion dashboard. Value comes from saving users the trial-and-error of finding the right cost/quality tradeoff at 32GB.