2026 MiroFish multi-agent prediction engine on a rented Mac mini M4 16GB: stack floor matrix, ports 3000/5001, LLM secret hygiene, agent gates, and a twelve-step smoke ladder
MiroFish is an open-source, multi-agent “digital sandbox” prediction engine—seed real-world inputs, let agents interact, export scenario reports. Teams rent a Mac mini M4 with 16GB unified memory when they need a Node frontend plus Python backend without buying another desk machine. This playbook turns upstream README requirements into a finance-friendly contract: stack floors, ports 3000 and 5001, LLM secret hygiene, agent-count gates on 16GB, six KvmZone region footnotes, and a 12-step smoke ladder.
On first mention, pair with AI server lane matrix (MiroFish fits a dedicated orchestration host), OpenClaw hour-zero Node contract for Node 22+ discipline, and unified memory pressure playbook when simulations spike swap. Hardware assumptions align with Apple’s Mac mini specifications.
Disclosure: KvmZone is the Mac rental provider referenced in this article. MiroFish setup requirements cite the upstream MiroFish GitHub repository; hardware notes cite Apple Mac mini specifications.
Why MiroFish belongs on a rented Mac mini M4
MiroFish is not a 70B local model host on 16GB—it is an orchestrator that spends unified memory on concurrent agents, Node/Vite dev processes, and Python API workers. Renting keeps long-running simulations off laptops and isolates LLM_API_KEY on a machine finance can invoice.
| Reason | Detail |
|---|---|
| Dual runtime | Vue/Node frontend on port 3000 + Python API on port 5001 per upstream docs |
| Long-running daemons | Simulations are not a one-shot CLI—rented hosts keep processes stable across days |
| Secret isolation | Aligns with Gemini API client hygiene patterns on the same rental class |
| Compliance footprint | AGPL-3.0 upstream—legal review before production redistribution or network-facing forks |
Stack floor matrix (pin before clone)
Clone only after the rented Mac proves upstream floors. If you share a host with OpenClaw, align Node to 22+ per the hour-zero contract even though MiroFish lists 18+.
| Component | Upstream floor | Rented Mac proof |
|---|---|---|
| Node.js | 18+ (prefer 22+ on shared hosts) | node -v shows 22.x |
| Python | ≥3.11, ≤3.12 | python3 --version in band |
| uv | Latest package manager | uv --version |
| APFS free | ≥25GB before first clone | df -h / |
Install via SSH only—see SSH vs VNC security workflow when macOS permission prompts appear.
Ports, disk, and 16GB agent gates
Upstream maps localhost:3000 (frontend) and localhost:5001 (backend API). On 16GB, treat agent count as a billing and memory contract—not a marketing number.
| Surface | Default | Gate on 16GB |
|---|---|---|
| Frontend UI | 3000 | Bind loopback; reverse-proxy if exposing beyond SSH tunnel |
| Backend API | 5001 | Document firewall posture; same host only for pilots |
| Agent count | High LLM cost upstream | Pilot <40 agents; one simulation lane per host |
| Logs + cache | Grows per run | Cap logs at 512MB; rotate weekly |
Disk triggers: free <18GB → pause new seeds; <12GB → wipe run artifacts or add 1TB per rent-term matrix. Memory: swap delta >15% after a 30-minute pilot → split to a second rented instance instead of heroic tuning.
LLM API secrets and SSH hygiene
Copy .env.example → .env on the server; mode 0400; never commit. MiroFish expects OpenAI-compatible LLM_BASE_URL, LLM_MODEL_NAME, and LLM_API_KEY plus ZEP_API_KEY per upstream README.
- Store keys outside application git checkouts; rotate when LLM invoices spike.
- Separate MiroFish
.envfrom OpenClaw webhook secrets on shared hosts. - Manage install,
npm run setup:all, andnpm run devover SSH per SSH vs VNC security workflow. - Prefer
launchdKeepAlive for dev/prod processes after smoke passes; document restart steps in the runbook.
Six-region POP for MiroFish pilots
KvmZone nodes: Hong Kong, Japan (Tokyo), Korea (Seoul), Singapore, US East, US West. Pick the node closest to humans reading reports and LLM billing time zones, not the region name on a GitHub badge.
| Pilot profile | Region hint | Pairing article |
|---|---|---|
| CN business-hours scenario labs | Hong Kong or Singapore | AI server lanes |
| JP compliance + reviewer TZ | Tokyo | Gemini client host |
| KR automation beside Seoul reviewers | Korea (Seoul) | Parallel rent matrix |
| US Pacific evening batches | US West | OpenClaw hour-zero |
| EU handoff windows | US East | Second host split |
Compare regions on the pricing page before pinning runbook labels—egress and reviewer time zones beat nominal CPU charts.
Twelve-step MiroFish smoke ladder
Run this ladder after clone, any Node/Python upgrade, or LLM key rotation. Store screenshots with the invoice week ID finance already uses.
| Step | Gate | Pass |
|---|---|---|
| 1 | SSH | Non-interactive admin shell |
| 2 | Stack | Node 22+, Python 3.11–3.12, uv installed |
| 3 | Clone | Upstream repo on fastest APFS volume |
| 4 | .env | Keys load without printing to logs |
| 5 | Backend | API responds on 5001 |
| 6 | Frontend | UI loads on 3000 |
| 7 | Health | One minimal seed simulation completes |
| 8 | Agents | Count stays under pilot ceiling (<40) |
| 9 | Memory | Swap <15% vs baseline |
| 10 | Logs | Rotation configured (512MB cap) |
| 11 | Region | Runbook lists KvmZone node |
| 12 | Finance | Run URL + pricing screenshot stored with week ID |
If steps 8–9 fail, triage memory pressure before blaming LLM latency.
FAQ
Related reading
- Mac mini M4 AI server: three workload lanes — where MiroFish fits
- OpenClaw hour-zero install contract — Node 22+ discipline
- Unified memory swap pressure playbook — swap triage
- Gemini 3.5 Flash API client host — LLM client patterns
- Rent-term parallel light-jobs disk matrix — second host triggers
- Remote Mac SSH vs VNC security workflow — access hygiene
Compare regions before you pilot MiroFish
Compare six-region Mac mini M4 rentals on pricing, pin Node 22+ and Python 3.12, keep pilots under 40 agents, and pass the twelve-step smoke ladder before production simulations.