Who this is for: developers and power users who need TinyHumans OpenHuman v0.56.x running today on macOS, Windows, or Linux—with optional Ollama local inference and a verified Memory Tree.What you get: signed install paths (brew / DMG / MSI / apt), an eight-step acceptance checklist, a 12-row error table, and a hosting comparison for 24/7 use.Structure: pain points → environment matrix → eight steps → hard data → platform table → FAQ.
Many tutorials still describe cloning a Python repo and running pip install -r requirements.txt. That pattern does not match the 2026 product line.
TinyHumans ships OpenHuman as a Rust + Tauri desktop app (GPL-3.0) with UI-first onboarding. The real blockers look like this:
curl | bash on a daily driver. Install scripts fetch remote code and execute it. Security reviews recommend signed DMG / MSI / brew / apt packages on production machines instead.openhuman package creates PATH conflicts—"installed but won't launch."ollama list is empty and inference times out.OpenClaw excels at CLI, Gateway, and Telegram/WhatsApp channel ops. OpenHuman excels at desktop GUI, Memory Tree, 118+ integrations (Gmail, Slack, Notion), and voice / Google Meet avatars. For a dual-stack rental setup, read the OpenClaw & OpenHuman cloud Mac guide. This article covers install, verify, and local model wiring only.
OpenHuman beta builds (May–June 2026) need more headroom than a chat client: vault storage, optional Ollama weights, and screen-intelligence cache. The table splits "cloud routing only" from "local 13B + Memory Tree."
| Item | Minimum (cloud models) | Recommended (local Ollama + integrations) |
|---|---|---|
| OS | macOS 12+, Win10 22H2+, Ubuntu 20.04+ | macOS 14+ (Apple Silicon) / Win11 / Ubuntu 24.04 |
| CPU / chip | 4-core x86_64 or Apple M1 | Apple M4 / M4 Pro (unified memory helps Ollama) |
| RAM | 8 GB | 16 GB (13B Q4); 70B-class needs 64 GB+ or cloud-only |
| Disk | 5 GB (app + starter vault) | 40 GB+ (Ollama models + logs + integration cache) |
| GPU | No discrete GPU required (API path) | NVIDIA optional; Apple Silicon uses Metal via Ollama |
| Network | Reach subscription routing and OAuth endpoints | Stable low latency; first large model pull benefits from datacenter bandwidth |
Security note: In production, download signed packages from tinyhumans.ai/openhuman or GitHub Releases. Reserve curl | bash for isolated VMs or disposable test hosts.
These steps apply across macOS, Windows, and Linux. Remote Mac setup via VNC matches local console behavior.
brew install ollama or the official installer → ollama serve → ollama pull qwen2.5:7b.http://127.0.0.1:11434, select a pulled model, save, retry the same prompt.# Recommended: Homebrew tap (signed chain) brew tap tinyhumansai/core brew install openhuman # Or: official DMG / GitHub Releases manual install # https://github.com/tinyhumansai/openhuman/releases/latest # Test hosts only (not recommended on daily driver) # curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
sudo apt-get install -y --no-install-recommends gnupg2 curl ca-certificates curl -fsSL https://tinyhumansai.github.io/openhuman/apt/KEY.gpg \ | sudo gpg --dearmor -o /etc/apt/keyrings/openhuman.gpg echo "deb [signed-by=/etc/apt/keyrings/openhuman.gpg arch=amd64] \ https://tinyhumansai.github.io/openhuman/apt stable main" \ | sudo tee /etc/apt/sources.list.d/openhuman.list sudo apt-get update && sudo apt-get install -y openhuman
# Recommended: download signed .msi # https://github.com/tinyhumansai/openhuman/releases/latest # Test hosts only (review script first) # irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
brew install ollama # or https://ollama.com/download ollama serve # keep running in background ollama pull qwen2.5:7b # friendly for 16 GB unified memory ollama list # confirm model READY # OpenHuman settings: Local AI → http://127.0.0.1:11434
| Error / symptom | Cause | Fix |
|---|---|---|
| App won't open / crashes on launch | Mixed install channels or stale version | Keep one install method; fully uninstall, reinstall signed package |
| macOS "damaged" warning | Gatekeeper blocked unsigned copy | Use official site or Releases only; avoid third-party repacks |
| Screen intelligence unresponsive | Screen Recording not granted | System Settings → Privacy → Screen Recording → enable OpenHuman |
| Local AI stuck on Pending | Ollama not running or wrong port | ollama serve; URL must be 127.0.0.1:11434 |
connection refused (Ollama) |
Firewall or remote-only bind | Keep 11434 localhost-only; never expose to the public internet |
| Inference very slow or OOM | Model exceeds available RAM | Switch to 7B/13B Q4 or disable local routing |
| Gmail/Slack won't connect | OAuth incomplete or enterprise policy block | Re-run settings wizard; check proxy rules |
| Memory Tree empty | No indexable context yet | Complete a file/email task first; verify vault path |
| Meet avatar has no video | Camera/mic permissions missing | Check TCC and browser plugin conflicts |
| Linux has no GUI | Server image without desktop session | OpenHuman needs a desktop; headless use OpenClaw CLI instead |
| Config lost after upgrade | User data directory not backed up | Archive Application Support OpenHuman data before upgrading |
| Subscription model 429 | Routing rate limit | Switch to Local AI or retry later; check account quota |
Getting OpenHuman installed solves "can chat." Integrations plus Memory Tree compounding solves "knows you"—that requires a host that stays online with a stable GUI session.
| Platform | 24/7 availability | Local Ollama | Best for |
|---|---|---|---|
| Personal MacBook | Stops when lid closes | Best Metal experience on M-series | POC, same-day debugging |
| Linux workstation | Can stay up; desktop required | NVIDIA CUDA friendly | Existing GPU tower |
| x86 cloud VPS | High uptime | No official GUI path | Not recommended for OpenHuman |
| Rented Mac Mini M4 | Datacenter-grade uptime | UMA + remote VNC troubleshooting | Meet/screen intelligence + local 13B production |
Following the eight steps above, most readers finish first OpenHuman desktop smoke plus Ollama local inference in 45–90 minutes. Three alternative paths have clear limits: (a) a closed laptop interrupts webhooks and background reasoning; (b) headless Linux servers cannot host the Tauri GUI; (c) buying a Mac Mini shifts hardware depreciation, power, and 24/7 noise onto you.
If Memory Tree and integrations already save repetitive work and you want predictable monthly cost, SSH/VNC handoff in minutes, and the option to tarball vault data before moving hosts, a MACCOME dedicated Mac Mini M4 cloud node is usually the better production shape: real Apple Silicon, brew/Ollama commands unchanged, and room to run OpenClaw in parallel. Continue with the dual-agent rental guide and pick a region on the Mac Mini rental rates page.
FAQ
Does OpenHuman require a terminal install?
No. The product is UI-first: DMG, MSI, brew, and apt all work without a shell. Terminal scripts suit automated test machines.
Can OpenHuman and OpenClaw share one Mac?
Yes—watch aggregate RAM and disk (Ollama weights plus OpenClaw Gateway). For 24/7 desktop plus CLI, prefer a dedicated rental node or a 32 GB tier.
Does M2 vs M3 vs M4 matter?
All are supported. Local Ollama throughput scales with unified memory. 16 GB handles 13B Q4 reliably; larger models need more RAM or cloud routing.
How do I migrate OpenHuman data before returning a rental?
Archive the macOS Application Support OpenHuman folder plus the Obsidian vault path. MACCOME supports self-service wipe before return—see the cloud Mac support center.