Souvenir: Workspace connecting AI models with shared context

We didn’t start by trying to build another AI tool. We started by using AI every day, writing, building, researching, running workflows — and kept running into the same problem: Nothing worked together. Context would reset between chats. Good outputs were hard to reuse. We were constantly switching between models, rewriting prompts, and stitching things together manually. For builders, it slowed down iteration. For operators, it made workflows messy and repetitive. For teams, knowledge just didn’t carry over. At some point, it became clear the issue wasn’t the models — it was the lack of a system around them. So we focused on connecting everything: - Shared context that persists across tasks - Workflows that don’t break between tools - Routing tasks to the model that fits best The goal was simple: make AI usable in a way that actually holds up in real, day-to-day work. We’re still early and actively shaping this with users. Curious, what’s the most frustrating part of your current AI workflow?