jo — Your AI. Your Machine. 10x Faster. | AI Assistant for Mac, Telegram, WhatsApp

What

jo is a personal AI assistant that runs in a hybrid setup: part on the user’s Mac and part on a dedicated cloud machine assigned to that user. It is available across macOS, Telegram, and WhatsApp, and is designed to work with a person’s own notes, photos, email, calendar, messages, and files while keeping some personal data processing local to the Mac.

The product appears aimed at individual knowledge workers and consumers who want an assistant that can use personal context across everyday workflows such as meeting prep, travel planning, memory retrieval, and message catch-up. Its positioning is closer to a privacy-oriented, context-aware personal assistant than to a general-purpose chatbot or developer tool.

Features

• Hybrid local-plus-dedicated-cloud architecture — jo splits work between a local Mac and a user-specific cloud machine, which supports persistent context while avoiding a fully shared cloud setup.
• Cross-channel assistant experience — the same assistant memory and context are available on macOS, Telegram, and WhatsApp, making it usable from desktop and messaging apps.
• Personal data indexing and retrieval — it can index and search content from apps such as Notes, Photos, Mail, Calendar, Messages, Reminders, Finder, Safari, Chrome, and Slack, plus Google Calendar, Gmail, and Google Drive with permission.
• Local voice interaction — speech transcription runs locally on the Mac, with echo cancellation intended to support hands-free use without headphones.
• Automated task routing across models — jo can route simple requests to faster responses and send more complex research tasks to a reasoning model, while letting users choose among OpenAI, Anthropic, Grok, Kimi, and a local model.
• Background proactive workflows — users can set recurring briefings or tasks that continue running on the dedicated machine and deliver results to their preferred channel.

Helpful Tips

• Check the real privacy boundary carefully — the site distinguishes between data that stays on the Mac and tasks that run on the dedicated cloud machine, so buyers should map which content types are processed locally versus remotely.
• Validate app coverage against your workflow — the product lists several local and Google-connected sources, but organizations or users with heavy dependence on other systems should confirm whether the needed data sources are available.
• Test retrieval quality on your own archive — for assistants like this, value depends heavily on how well they surface relevant notes, emails, photos, and messages from messy personal data.
• Consider the Mac hardware requirement early — the site specifies an M-series Mac with 16GB RAM, which may affect rollout for households or teams with mixed device fleets.
• Use recurring briefings selectively — proactive automations can be useful, but they work best when tied to clear recurring scenarios such as trips, meetings, or message summaries.