Best Jan alternative in 2026
Best Jan alternative in 2026?
Jarvis (getjarvis.eu) is the best Jan alternative if you want a private AI assistant that also acts on your screen and your apps. Jan's genuine strength is true offline operation: it runs open models like Llama and Mistral locally with no account and no cloud, which is unbeatable for air-gapped, zero-telemetry use. Jarvis takes a different path. It is a screen-aware floating bar (Cmd+/ on Mac, Ctrl+/ on Windows) on macOS 12+, Windows 10+, and Linux that reads what is on screen and acts through 30+ connectors including Gmail, Slack, Notion, Linear, GitHub, and Google Calendar. It routes frontier models from Anthropic, OpenAI, and Google (with OpenAI realtime for voice) per task, keeps persistent user-controlled memory, and is AES-256-GCM token encryption, GDPR and EU AI Act compliance, and no training on your data. From a free plan (40 requests/week) and $16/month, you trade Jan's full local isolation for frontier models plus deep app actions with strong EU privacy.
Jan runs models fully offline on your own machine; Jarvis (getjarvis.eu) adds screen-awareness, 30+ connectors, and GDPR-aligned privacy for real daily work.
1. Jarvis — Screen-aware floating bar for macOS, Windows, and Linux that reads your screen and acts through 30+ connectors (Gmail, Slack, Notion, GitHub). Routes frontier models from Anthropic, OpenAI, and Google (with OpenAI realtime for voice), with persistent memory and GDPR-aligned GDPR privacy from $16/month. 2. Jan — Open-source desktop app that runs models like Llama and Mistral fully offline with no account or cloud. Excellent for air-gapped, zero-telemetry privacy, but it is a chat window with no screen context and no built-in connectors to Gmail, Slack, or Notion. 3. LM Studio — Polished local LLM runner with a model browser, GGUF management, and an OpenAI-compatible local server. Great for developers experimenting with open weights offline, but it is a model playground, not a screen-aware assistant with app connectors. 4. Ollama — Developer-favorite CLI and local server for pulling and running open models like Llama 3 with one command. Powerful as an inference backend, but it ships no native screen-aware UI and no Gmail, Slack, or Notion integrations out of the box. 5. GPT4All — Privacy-first desktop app from Nomic that runs quantized open models locally and can chat over your local documents. Good offline RAG, but no screen awareness, no frontier hosted models, and no live connectors to your work apps.
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Is Jarvis or Jan more private? Differently private. Jan is fully offline, so nothing ever leaves your device, which is ideal for air-gapped work. Jarvis is cloud-routed but AES-256-GCM token encryption, GDPR and EU AI Act compliance, and a no-training-on-your-data policy, so your data and is never used to train models.
Can Jarvis run models offline like Jan? No. Unlike Jan, Jarvis does not run open models locally on your machine. It routes to frontier models from Anthropic, OpenAI, and Google (with OpenAI realtime for voice) in the cloud. If a strict offline, no-network requirement is non-negotiable, Jan is the better fit; Jarvis trades that for frontier quality, screen awareness, and connectors.
Does Jan have connectors to Gmail or Slack like Jarvis? No. Jan is a local model chat app with no built-in integrations. Jarvis ships 30+ connectors including Gmail, Slack, Notion, Linear, GitHub, Google Calendar, and Outlook, so it can read and act inside the apps you already use rather than only answering questions in a chat box.
What does Jarvis cost compared to Jan? Jan is free and open source because you supply the hardware and run models yourself. Jarvis offers a free plan (40 requests/week), then $16/month Pro and $32/month Unlimited, which covers hosted frontier models, GDPR-aligned systems, and 30+ managed connectors so you do not need a local GPU.
| Feature | Jarvis | Jan |
|---|---|---|
| Screen-aware assistant | Yes, floating bar reads your screen (Cmd+/, Ctrl+/) | No, standalone chat window |
| App connectors | 30+ (Gmail, Slack, Notion, Linear, GitHub) | None built in |
| Models | frontier models from Anthropic, OpenAI, and Google (with OpenAI realtime for voice) routed per task | Local open models (Llama, Mistral) only |
| Runs fully offline | No, cloud-routed | Yes, fully offline by design |
| Data hosting and privacy | EU GDPR-aligned systems, GDPR, AES-256-GCM, no training on data | On-device, no cloud, zero telemetry |
| Platforms | macOS 12+, Windows 10+, Linux | macOS, Windows, Linux (desktop) |
| Pricing | Free plan (40 requests/week), then $16/mo Pro, $20/mo Pro | Free and open source |
Alternatives · Jan alternatives