The age of super intelligence is here. OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.
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"The Tet. What a brilliant machine" — Morgan Freeman as he reminisces about alien superintelligence in the movie Oblivion
> **Early Beta** — Under active development. Expect rough edges. OpenHuman is an open-source agentic assistant that is designed to integrate with you in your daily life. Here's what makes OpenHuman special: - **One subscription, many providers** — One assistant wired to **skills** and backend models so you are not juggling a separate subscription stack for every integration surface. - **Incredible memory** — **Rust-side memory** (store / recall / namespaces) plus optional **TinyHumans [Neocortex](https://github.com/tinyhumansai/neocortex)**-backed context when configured, so the agent can retain and retrieve more than a single chat window. **Channels** and ongoing **conversations** feed the same loop so day-to-day context does not reset every session. - **Screen intelligence** — Regular **screen capture** (on a cadence or when triggered) feeds an on-device pipeline that **understands what is on screen**, distills it into **memory** (facts, UI state, workflows), and can propose **actions** the agent executes for you. OS permissions and capture APIs vary by platform; the goal is **your machine first**, not shipping raw frames to the cloud by default. - **Voice & meetings** — A **Local-model** speech stack (listen / **TTS**) let the assistant **talk back** and **capture or work with meeting audio** with a privacy-first default when you route inference locally. Transcripts and summaries land in the same **memory + agent** loop so OpenHuman can **follow up**: tasks, drafts, calendar nudges, or skill-backed workflows—without treating a meeting as a one-off chat. - **Memory-aware autocomplete** — **Keyboard autocomplete** is built for **right-context** suggestions: it consults **memory namespaces** and recent context so completions stay aligned with **you**, your workspace, and prior sessions—not a blank model every keystroke. - **Runs a local AI model** — The **Rust core** exposes **local AI** paths (and the desktop bundle can ship **local/bundled runners** where applicable) for the workloads above—vision snippets, speech helpers, summarization, tooling—so sensitive steps can stay **off the cloud** when you choose. - **Simple or advanced** — **Skill setup wizards** and defaults for common tools, with room to go deeper via **settings, credentials, and core RPC** when you need control and privacy. Architecture: [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md). Contributor orientation: [`CONTRIBUTING.md`](./CONTRIBUTING.md). # Download > **Early Beta** — Under active development. Expect rough edges. You can download the latest desktop build from the website at [tinyhuman.ai/openhuman](https://tinyhuman.ai/openhuman). You can also grab it from the [latest GitHub release](https://github.com/tinyhumansai/openhuman/releases/latest), which includes all current artifacts (`.dmg`, `.deb`, `.AppImage`, `.app.tar.gz`, and more). If you need an older version, browse [all releases](https://github.com/tinyhumansai/openhuman/releases). If you want to build from source, see [`docs/BUILDING.md`](docs/BUILDING.md). Install with one command: ``` curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash ``` On Windows, use PowerShell: `irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex` What setup does: - Resolves the latest stable release for your OS/arch - Verifies release digest when available - Installs locally without requiring system-wide admin rights by default - macOS: installs `OpenHuman.app` in `~/Applications` - Linux: installs `openhuman` AppImage in `~/.local/bin/openhuman` and creates a desktop entry - Windows: installs from latest release MSI/EXE in per-user mode where supported # Under the hood (Architecture) OpenHuman is a **desktop monorepo**: **Rust** owns **business logic and execution**; the **UI** owns **interaction, layout, and OS integration**. **Rust (`openhuman` / `openhuman_core`).** The repo root **`src/`** crate is the brain: **JSON-RPC over HTTP** (`core_server`), domain modules (auth, config, memory, skills, channels, screen intelligence, local AI, cron, …), and a **QuickJS** runtime for **sandboxed JavaScript skills**. The **`openhuman`** binary is built and **staged next to the Tauri app** so the desktop shell can spawn it as a **sidecar**. Heavy work—SQLite, sockets, crypto, skill lifecycle—runs there under **Tokio**, not in the WebView. **UI (`app/`).** **Vite + React** (TypeScript) implements screens, onboarding, settings, and realtime UX. **Redux Toolkit** holds client state; **Socket.io** and the **MCP-style** client stack stay in sync with the core’s realtime surface. **Tauri v2** (`app/src-tauri/`) is a thin **Rust host**: windowing, filesystem hooks where needed, and **`core_rpc_relay`**—forwarding JSON-RPC from the WebView to the **`openhuman`** process so the UI never re-implements domain rules. **Controllers and the RPC surface.** Features are exposed as **registered controllers**: each domain declares **schemas** (namespace, function name, parameter shapes) and a **handler**. At runtime, calls are **validated**, dispatched by **method name** (e.g. `openhuman.auth_get_state`, `openhuman.local_ai_agent_chat`), and return structured outcomes. **CLI** and **HTTP** share the same controller catalog, so automation, tests, and the app all hit one contract. **What ties it together:** one **registry** of controllers, one **sidecar** process for execution, **Tauri IPC** for shell-only capabilities, and **HTTP JSON-RPC** for everything else—plus **skills** and **dual-socket** behavior documented in the architecture guide. **Read more:** [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md) · Frontend tree: [`docs/src/README.md`](docs/src/README.md) · Tauri commands: [`docs/src-tauri/README.md`](docs/src-tauri/README.md) # Star us on GitHub _Building toward AGI and artificial consciousness? Star the repo and help others find the path._