2026 OpenHuman Complete Install Guide: Homebrew / apt to Memory Tree First Run + Cloud Mac 24/7

OpenHuman from TinyHumans AI is a GPL-3.0 licensed personal AI desktop application. The runtime is Rust with a Tauri shell, which means native macOS, Windows, and Linux builds rather than a browser tab you forget to keep open. The differentiator is Memory Tree: a structured index over connected accounts and local files that feeds retrieval into chat so the assistant can reference prior threads, commitments, and documents without you re-pasting context every session.

Upstream documents 118+ integrations spanning mail, calendars, notes, CRM adjacency, and developer tooling. Install success is only the first gate. Memory Tree quality grows when connectors stay authorized, sync jobs complete, and the host disk survives reboots without wiping the local store. A developer MacBook is fine for the steps below; treating a lid-closed laptop as production infrastructure for daily Gmail indexing is not. Teams that outgrow hobby hosting typically migrate the same user profile and connector tokens to a dedicated cloud Mac once the Memory Tree proves value.

This article assumes you have admin rights on the machine, outbound HTTPS, and permission to connect at least one real account such as Gmail during onboarding. Pick your install channel before you start so you can validate the full path in a single sitting rather than mixing curl-script binaries with package-manager updates later.

Most OpenHuman support threads are not broken installers. They are under-RAM hosts, confused identity boundaries between hosted sign-in and local data, or laptops that suspend mid-sync. The table maps platform expectations against what Memory Tree indexing actually needs.

• RAM reality: TinyHumans AI lists 4GB RAM as the floor. Large Gmail mailboxes, calendar backfill, and optional local model hooks push practical planning toward 16GB or more so indexing and chat do not contend for the same memory pool.
• Wrong project confusion: PyPI hosts unrelated digital-human demos. Always confirm the source is github.com/tinyhumansai/openhuman and the license is GPL-3.0 before you invest in connectors.
• Install channel hygiene: Prefer signed Homebrew and apt channels over piping curl to bash unless you accept weaker supply-chain guarantees. Pin the release you tested before opening production mail to Memory Tree.
• Sign-in boundary: Hosted sign-in authenticates your TinyHumans account; Memory Tree payloads and connector tokens still land in local application storage. Back up that directory before OS migrations or reinstalls.
• Disk layout: Plan separate space for the Memory Tree index, connector caches, and logs. A 20GB root volume fills quickly once Gmail initial sync runs for a multi-year mailbox.

Resolve RAM and disk warnings before you connect Gmail. Fixing environment drift upfront saves hours of re-authorizing OAuth flows after a corrupted local index.

TinyHumans AI publishes multiple install surfaces. macOS teams should default to Homebrew; Debian-family Linux should use the signed apt repo; Windows users should grab the MSI from releases unless IT mandates another path. Follow these six steps in order; they mirror what I use on fresh NUKCLOUD instances and clean Ubuntu images.

1. 01
   Confirm you have the right product: Open the official repository at github.com/tinyhumansai/openhuman and verify GPL-3.0 licensing and Rust/Tauri stack language in the README. Reject unrelated Python pip packages that mention digital humans but ship no Memory Tree.
2. 02
   Prepare the host: On macOS, ensure Homebrew is current. On Ubuntu or Debian, install HTTPS apt transport prerequisites. On Windows, confirm you can run signed MSI installers. Create a dedicated user account with a home directory on persistent disk, not a tmpfs mount.
3. 03
   Run the preferred installer: On macOS execute brew tap tinyhumansai/core && brew install openhuman. On Linux follow the signed apt instructions from upstream releases. Windows teams install the MSI; cross-platform developers may use npm install -g openhuman when Node is already standardized.
4. 04
   Launch and accept permissions: Start OpenHuman from Applications, the package menu, or the CLI entry point npm exposes. Grant filesystem and network permissions the Tauri shell requests. On macOS, remove quarantine attributes if you sideloaded a DMG instead of Homebrew.
5. 05
   Sign in and note the data boundary: Complete hosted sign-in with your TinyHumans AI account. Read the onboarding copy that explains which operations stay local versus which identifiers sync upstream. Export or screenshot connector settings before experimenting.
6. 06
   Snapshot baseline: Record OS version, install channel, application version, and directory listing for local data folders. Tarball this tree before Gmail initial sync so you can restore if a bad upgrade corrupts the Memory Tree index.

brew tap tinyhumansai/core
brew install openhuman
openhuman

Alternative paths include release DMG and MSI artifacts, npm global install, and a curl-based script upstream documents with explicit security caveats. Treat the curl path as last resort on machines that already hold mail credentials. If you are sizing a production SKU before install, use the order page to pick disk and RAM so Memory Tree indexes never share a cramped root volume with OS snapshots.

OpenHuman without connected sources is an empty shell. Onboarding walks you through sign-in, Gmail authorization, and the first Memory Tree query that proves retrieval works end to end.

Gmail connector: From settings or the onboarding wizard, choose Gmail and complete OAuth in the system browser. Prefer a test account first if your organization restricts third-party mail scopes. Wait for initial sync to start before you judge recall quality; large mailboxes can take hours on first run.

First Memory Tree query: Ask a question that requires indexed mail context, for example summarizing threads from a known sender or listing action items from last week. Follow with a narrower question that should reuse the same retrieved nodes. If the second answer ignores the first thread, check sync status and disk space before blaming the model.

Integration expansion: With 118+ integrations documented upstream, add calendar or notes connectors only after Gmail baseline passes. Each connector increases index size and OAuth surface. Disable unused integrations to keep Memory Tree pruning predictable.

Local versus hosted boundary: Sign-in establishes identity with TinyHumans AI services; Memory Tree content and connector tokens remain on disk under the application profile. Treat that profile like production data: mode-restricted permissions, encrypted backups, and no sharing across unrelated OS users.

After the first successful Memory Tree query, schedule a controlled reboot and repeat the same question. If recall fails after restart, fix disk persistence before adding more connectors or pointing teammates at the instance.

OpenHuman is a desktop app, not a headless daemon, but Memory Tree value compounds only when sync jobs finish while you sleep. That pushes serious users toward a host that never suspends.

Why laptops fail: macOS sleep pauses background Tauri tasks, stalls Gmail delta sync, and forces full re-index after long offline gaps. Users experience intelligent answers Monday morning and amnesia Tuesday after a travel day.

Cloud Mac pattern: Provision a dedicated macOS instance through NUKCLOUD console, install OpenHuman via Homebrew over SSH, complete Gmail onboarding once, and leave the session logged in with display sleep disabled while allowing the app to run. Use Screen Sharing or VNC only for occasional GUI tasks; daily chat can stay in the desktop UI or paired automation you document separately.

LaunchAgent adjacency: If you wrap helper scripts or local model servers beside OpenHuman, use launchd LaunchAgents under the dedicated user with KeepAlive for those helpers. Do not fight Tauri GUI lifecycle with aggressive kill policies; instead ensure the Mac itself stays powered and networked.

Backup cadence: Weekly tarball backups of the OpenHuman local data directory plus exported connector settings. Test restore on a staging cloud Mac quarterly. Memory Tree rebuilds from scratch are slower than restoring a known-good index.

Command cheat sheet for day-two ops: check application version from the about screen, monitor disk usage on the index volume, re-run the first Memory Tree query after each upgrade, and keep OAuth refresh tokens valid by signing in before provider-enforced expiry. Pin these steps in your runbook next to on-call contacts and link to help documentation for tenant-specific networking questions.

Install channels are deliberately cross-platform; hosting choice determines whether Memory Tree feels alive or resets every time your laptop travels. Shared VPS pools tempt with low stickers, but oversubscribed CPUs, fragile GUI sessions, and disk policies that wipe home directories on reboot show up exactly when Gmail indexing crosses the first gigabyte.

For teams that need compounding OpenHuman memory without buying a Mac Mini before validation, metered cloud Mac on NUKCLOUD preserves cash flow while you measure recall quality and connector stability. Generic minute-based macOS offerings often oversell CPU and drop sync jobs during large mailbox backfill. When Memory Tree is production-facing, stable disk, predictable outbound networking, and a host that survives reboots matter more than saving ten dollars a month on an oversubscribed pool. Start from the homepage to compare regions, then scope a pilot on the pricing page after you complete the install steps above.