🟢 Beginner–Intermediate ⚙️ Type: Personal AI Agent / Desktop Assistant 💸 Free & Open Source (GPL-3.0) ⭐ 32,000+ GitHub Stars
What is OpenHuman?
OpenHuman is an open-source, local-first personal AI agent built by TinyHumans.ai. Unlike standard chatbots that sit idle until you type a prompt, OpenHuman acts as a persistent digital coworker that lives on your desktop, observes your workflows, and continuously learns about you.
The standout feature of OpenHuman is its Memory Tree. Instead of uploading your life to a corporate cloud, the agent connects to your accounts (like Gmail, Slack, and Notion), automatically fetches your data, and compresses it into an Obsidian-style Markdown vault stored locally on your hard drive. This gives the AI up to a 1-billion-token context window of your professional history, allowing it to instantly recall past projects, meetings, and relationships without needing a massive context prompt.
It also features a “Subconscious Loop” that runs in the background. While you work, the agent quietly processes your outstanding tasks, structures your memory, and prepares context. With deep desktop integration—including an adorable mascot that can join your Google Meets, speak to you, and provide OS-level text autocomplete—it feels less like software and more like a real assistant.
Who is it for?
- Knowledge Workers suffering from “context fragmentation” who need an AI that can pull data across emails, Slack messages, and Google Drive files simultaneously.
- Privacy-Conscious Professionals who want the power of a highly personalized AI agent but refuse to send their private local files and meeting notes to third-party cloud servers.
- Developers and Power Users looking for an open-source alternative to commercial screen-recording AI tools (like Limitless/Rewind).
- People tired of “starting cold” with AI. OpenHuman knows exactly what you are working on the moment you open your computer.
What makes it special?
- Local Memory Tree — It compresses your history into a hierarchical local SQLite database and Markdown files, achieving an 80% reduction in token usage while maintaining long-term memory.
- The Subconscious Loop — The agent self-learns in the background. It reads your screen, organizes your to-dos, and preemptively builds context while you aren’t even interacting with it.
- Deep Desktop OS Integration — It offers system-wide inline autocomplete (works in Word, code editors, and browsers), text-to-speech, voice input, and screen intelligence.
- One-Click OAuth Skills — Through the
openhuman-skillsregistry, you can connect the agent to GitHub, Slack, Notion, Stripe, and Jira with a single click, eliminating the need to wire up complex APIs manually. - Hybrid Model Routing — It can automatically route basic tasks to fast, cheap models, complex reasoning to frontier models, or keep highly sensitive workloads completely offline using local engines like Ollama or LM Studio.
Requirements before you start
OpenHuman is a native desktop application built with Rust and React, meaning it requires minimal technical setup compared to purely terminal-based agents:
- A Modern Operating System — Available natively for Windows 11, macOS (Apple Silicon or Intel), and Linux (Debian/Ubuntu/Arch).
- Sufficient Hardware — Standard use requires minimal resources, but if you intend to run the LLM entirely locally (via Ollama), you will need a dedicated GPU or Apple Silicon Mac with at least 16GB of RAM.
- A TinyHumans Account (Optional) — Using their managed service allows for seamless one-click OAuth connections and cloud model routing. Alternatively, you can run it completely disconnected using your own API keys.
Step-by-step installation
Step 1 — Download the Installer
Because OpenHuman focuses on a UI-first experience, you don’t need to compile it from the terminal. Head to the GitHub Releases page or tinyhumans.ai/openhuman to download the correct installer for your OS:
- Windows: Download the signed
.msiinstaller. - macOS: Download the
.dmgfile (or use Homebrew:brew install tinyhumansai/tap/openhuman). - Linux: Download the
.debpackage for Ubuntu/Debian.
Step 2 — Launch and Onboard
Install the application as you would any normal software. Upon first launch, OpenHuman will guide you through a beautiful UI onboarding flow. It will ask you for basic preferences, such as setting up the desktop mascot (“Tiny”) and enabling system permissions (like screen recording and microphone access).
Step 3 — Choose Your AI Engine
In the settings menu, configure the “Brain” of the agent:
- Managed Mode (Default): Sign in to use OpenHuman’s cloud model routing.
- Bring Your Own Key (BYOK): Paste in your OpenAI, Anthropic, or DeepSeek API keys.
- 100% Local Mode: If you have Ollama installed, point OpenHuman to your local URL (
http://127.0.0.1:11434) to run models like Llama-3 completely offline.
Step 4 — Connect Your Integrations (Skills)
Navigate to the Skills tab in the desktop application. Click “Connect” on the tools you use daily (e.g., Gmail, Google Calendar, Notion). OpenHuman will authenticate via OAuth and immediately begin the background process of fetching and compressing your data into its local Memory Tree.
Step 5 — Let the Subconscious Run
Once your accounts are linked, you can minimize the app. The background subconscious loop runs roughly every 20 minutes to keep your context fresh. You can now use the global hotkey to summon the agent or simply rely on its OS-level autocomplete features while you type!
Common errors and fixes
| Error | What it means | How to fix it |
|---|---|---|
AppImage crashes on launch under Wayland (Linux) | A known compatibility issue between Tauri, WebKit, and certain Linux display servers. | It is highly recommended to use the native .deb package for Debian/Ubuntu instead of the AppImage, or run it with X11 compatibility flags. |
| The agent forgets recent context or says it cannot find your data | The background “Subconscious Loop” has stalled, or the SQLite database hit a permission error. | Ensure your OS hasn’t put the OpenHuman background process to sleep to save battery. Check the app settings to manually force a “Memory Sync” for your connected skills. |
Connection Refused when using Local AI | OpenHuman cannot reach your local Ollama or LM Studio instance. | Verify that Ollama is actively running in your system tray. Ensure the endpoint in OpenHuman is correctly formatted as http://127.0.0.1:11434/v1. |
Free vs Paid comparison
| Feature | OpenHuman (Free / Local Keys) | Commercial Competitors (e.g., Limitless) |
|---|---|---|
| Software Cost | $0 (Free Open Source App) | $20 to $30+ per month |
| Data Storage & Privacy | ✅ 100% Local (SQLite & Markdown on your drive) | ❌ Syncs to external corporate cloud servers |
| Background Workflow Learning | ✅ Yes (Subconscious Loop) | Usually limited to passive recording |
| Installation Effort | 🟢 Easy GUI Installer | 🟢 Easy GUI Installer |
Bottom line: OpenHuman is a masterclass in giving users the power of a commercial “second brain” AI while preserving total data sovereignty. Because the core app is free, your only cost is either your own API keys or the electricity to run local models. If you hate that ChatGPT forgets who you are every time you start a new chat, this is the ultimate solution.
Alternatives — 3 similar tools
1. OpenHands (Formerly OpenDevin)
While OpenHuman acts as a general-purpose daily assistant, OpenHands is a hardcore, open-source autonomous agent specifically built for software engineers. It lives in your terminal and browser, writes code, pushes to GitHub, and browses the web, but lacks the personal “Memory Tree” for emails and calendars.
🔗 github.com/All-Hands-AI/OpenHands
2. AnythingLLM
An excellent, highly polished desktop application designed as an all-in-one local AI workspace. It is the gold standard for dropping hundreds of PDFs into a local folder and having the AI read them instantly (RAG), but it operates as a standard chat interface without OpenHuman’s proactive background “subconscious” loops.
3. Limitless (Formerly Rewind)
A highly popular, closed-source commercial application. It acts as a personalized AI by recording everything you see, say, or hear on your Mac or PC, allowing you to “search” your past. It is incredibly sleek and hands-off, but requires you to trust a third-party company with the recordings of your screen.
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