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Most AI tools isolate models, lose context between tasks, and require constant switching. This connects multiple models in one workspace with shared memory, so work carries across prompts. Builders can iterate faster without re-explaining context, operators can run workflows without tool-hopping, and teams can reuse knowledge instead of repeating work. Tasks are routed to the most suitable model automatically, improving output consistency and reducing manual effort.
SouvenirWorkspace connecting AI models with shared context
Colin JOleft a comment
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...
SouvenirWorkspace connecting AI models with shared context