open-jarvis / OpenJarvis

Personal AI, On Personal Devices. 
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> **Documentation**
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> **Project Site**
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> **Paper**
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> **Leaderboard**
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> **Roadmap**
## Why OpenJarvis?
Personal AI agents are exploding in popularity, but nearly all of them still route intelligence through cloud APIs. Your "personal" AI continues to depend on someone else's server. At the same time, our Intelligence Per Watt research showed that local language models already handle 88.7% of single-turn chat and reasoning queries, with intelligence efficiency improving 5.3× from 2023 to 2025. The models and hardware are increasingly ready. What has been missing is the software stack to make local-first personal AI practical.
OpenJarvis is that stack. It is a framework for local-first personal AI, built around three core ideas: shared primitives for building on-device agents; evaluations that treat energy, FLOPs, latency, and dollar cost as first-class constraints alongside accuracy; and a learning loop that improves models using local trace data. The goal is simple: make it possible to build personal AI agents that run locally by default, calling the cloud only when truly necessary. OpenJarvis aims to be both a research platform and a production foundation for local AI, in the spirit of PyTorch.
## Installation
Pick your platform and run one command. Each installer handles uv, the Python venv, Ollama, and a starter model — about 3 minutes on broadband.
| Platform | One-liner |
|---|---|
| **macOS · Linux · WSL2** | `curl -fsSL https://open-jarvis.github.io/OpenJarvis/install.sh \| bash` |
| **Native Windows** | `irm https://open-jarvis.github.io/OpenJarvis/install.ps1 \| iex` |
| **Desktop GUI** | Download `.exe` / `.dmg` / `.deb` / `.rpm` / `.AppImage` from the latest release |
Then `jarvis` to start. The Rust extension and larger models continue downloading in the background; `jarvis doctor` shows status.
Platform-specific notes (WSL2 setup, native-Windows scheduled-task service, desktop prerequisites, manual / contributor install): see the installation docs.
## Quick Start
 [code] 
`jarvis gui` starts the local API server and frontend, then opens the graphical
chat interface in your default browser. It requires Node.js 22+ and is
available from a source checkout; packaged desktop installers are available
from the latest release.
> Prefix `jarvis ...` with `uv run`, or `source .venv/bin/activate` first.
| Preset | What it does |
|---|---|
| `morning-digest-mac` / `morning-digest-linux` / `morning-digest-minimal` | Spoken daily briefing from email, calendar, health, news |
| `deep-research` | Multi-hop research across indexed docs with citations |
| `code-assistant` | Agent with code execution, file I/O, and shell access |
| `scheduled-monitor` | Stateful agent on a schedule with memory |
| `chat-simple` | Lightweight conversation, no tools |
Example:
 [code] 
Per-preset deep dives: morning digest · deep research · code assistant · scheduled monitor · chat simple · or the full quickstart guide.
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