Slashspace is a canvas-first AI interface aimed at researchers, learners, strategists and writers who want to think with AI, not hand their thinking over to it. It presents long-context work as a map of ideas on an infinite canvas, where chats, notes, PDFs, videos and web pages sit side by side. The tool emphasizes hands-on, branching work for deep inquiry and high-quality output.
Slashspace operates by letting users create a canvas of connected nodes, where each chat, note, or source is a node. Users wire in sources, choose models per chat, and branches extend conversations without losing the original thread. Orchestrator mode can coordinate sub-agents and tasks while the user remains in control.
Slashspace highlights main capabilities: branching AI chats on a canvas, wiring in sources, comparing models side by side, and running with hosted models or user keys. It supports local-first storage, multiple AI options, and integration with tools and APIs for extended workflows.
Slashspace states pricing, platform availability and future plans: it runs on macOS, Windows and Linux; offers yearly and lifetime plans; and notes features like coming soon improvements and configurable data handling. It also discusses data privacy and not being browser-based yet.
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