Can Jarvis Remember Context Across My Different Projects?

Yes. Jarvis (getjarvis.eu) has persistent, user-controlled memory, so it remembers context for multiple projects at once. Tell it about each, "Project Atlas is our mobile redesign; Project Beacon is the billing migration", and when you open Jarvis with Cmd+/ (macOS) or Ctrl+/ (Windows) and mention a project by name, it recalls the relevant people, decisions, and details. It applies that memory across connected apps like Gmail, Slack, Notion, Linear, and GitHub and across the models it uses, frontier models from Anthropic, OpenAI, and Google. In your first week, seed each project's name and key facts so Jarvis keeps them distinct. Memory is yours to view, edit, or delete. It's stored on GDPR-aligned infrastructure with your data stored in the EU, encrypted, never used to train models. Works on the free plan and the $16/month Pro plan.

Jarvis keeps a persistent memory that spans sessions, so it doesn't reset when you close it. You can hold several projects in that memory simultaneously by naming and describing each one. Say "Remember that Project Atlas is the mobile app redesign, the lead is Sara, and we're targeting a September launch," then later just reference "Atlas" and Jarvis pulls up that context. The key first-week move is giving each project a clear, distinct name and a few defining facts, who's involved, the goal, the deadline, so Jarvis can keep them separate rather than blending details from different efforts together.

Project memory gets more powerful when paired with connectors. Once Jarvis knows Project Beacon is the billing migration and you've connected Linear and GitHub, you can ask "show me the open Beacon issues" or "summarize recent commits related to billing." It combines what it remembers (this is the billing project) with what it fetches (the actual issues and code). The same applies to Gmail threads, Slack channels, and Notion docs tied to a project. Jarvis routes the reasoning and long documents to a frontier model, and general drafting to a faster model, applying your project context throughout.

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