You ran a model locally.
Now give it a body.
Jan and LM Studio proved your hardware can run AI privately. The next question every user asks: "okay… now can it DO anything?" That's where the model-runner era ends and the agent era starts.
Jan is an open-source local LLM runner: it lets you chat with models offline. A Jan AI alternative like Stonic AI goes a layer further — it connects local AI to the operating system itself, so the AI doesn't just chat privately, it manages files, launches apps, automates the browser, and responds to voice, all on-device.
Respect first: Jan is a genuinely good project. Free, open-source, millions of downloads, and it made "run AI on your own hardware" accessible to non-engineers. LM Studio and AnythingLLM deserve the same credit.
But all of them share one ceiling: they are model runners. The AI lives inside a chat box. It can't see your desktop, open your editor, organize your downloads, or execute a workflow. People searching for a "Jan alternative" have usually hit exactly that ceiling — they don't want a different chat app, they want their local AI to actually use the computer.
Stonic AI vs Jan, feature by feature.
| Capability | Stonic AI | Jan |
|---|---|---|
| Runs AI locally / offline | Yes (network required) | Yes (offline) |
| Private — data stays on device | ||
| Chat with the AI | ||
| Controls files, apps & browser | ||
| Voice-driven operation | ||
| Multi-step task execution | ||
| Persistent assistant identity | Per-session chat | |
| Setup | Installer, 5 minutes | Model downloads, settings, VRAM tuning |
| Interface | Cinematic desktop experience | Utilitarian chat UI |
| Price | $49 one-time | Free (open source) |
Choose Stonic AI if…
- You want local AI that ACTS — files, apps, browser, system tasks
- You want voice control and a persistent JARVIS-style presence
- You want a polished, working product instead of configuring runtimes
- You care how it looks — your desktop becomes the interface
Stick with Jan if…
- You specifically want to experiment with different open-source models
- You need a free tool and only need private chat, not automation
- You enjoy the tinkering itself — quantizations, GPU offloading, settings
Other alternatives worth knowing.
Stonic AI — the agent upgrade
Local-first AI that operates Windows by voice: files, apps, browser, system. The step after model runners. $49 one-time.
LM Studio — the closest sibling
Polished local model runner with great hardware controls. Same ceiling as Jan: chat only.
AnythingLLM — best for documents
Local RAG made approachable — chat with your files privately. Still no desktop control.
Open Interpreter — the hacker route
Connects an LLM to code execution for real automation — powerful, but terminal-based and technical.
The honest bottom line.
Keep Jan if your goal is experimenting with models. But if running Llama locally was always a means to an end — a private AI that actually runs your computer — Stonic AI is that end: the local agent with a voice, hands, and a face. The model-runner era proved it's possible. The agent era makes it useful.
Frequently asked questions
Depends on the ceiling you hit. For local AI that controls your PC: Stonic AI. For a different model-running experience: LM Studio. For chatting with documents: AnythingLLM. For code-based automation: Open Interpreter.
A model runner (Jan, LM Studio) hosts an LLM so you can chat with it. An agent (Stonic AI) connects AI to the operating system so it can take actions — open apps, manage files, automate the browser. Runners talk; agents do.
The app is a paid product ($49 one-time), but full source-code licenses exist: Personal ($290) for learning and customization, Enterprise ($999) with commercial rights — a path Jan-style tinkerers often appreciate.
Yes — they don't conflict. Some users keep Jan for raw model experiments and run Stonic AI as the persistent assistant that actually manages their desktop.
Tools answer. Stonic acts.
Experience the category difference yourself — one-time payment.