Never start from scratch again.
Phoenix Grove remembers everything you bring to it. Every piece of that memory belongs to you.
Memory designed to carry forward.
Phoenix Grove was built to remember: across conversations, days, and projects.
You spend an afternoon explaining a project to an AI. The next morning, you open a new conversation and start over. The history you built, the context, the decisions, the way it learned how you actually think: none of it carried forward.
That kind of forgetting isn't a limitation of AI. It's a design choice most platforms have made.
Phoenix Grove makes a different choice. Memory here is structural, layered, and persistent. The AI you talk to today is the AI you'll talk to next week, knowing what you've already worked on, what you've already explained, and where you left off.
Memory across everything you bring to it.
Phoenix Grove's memory isn't a single chat history. It's a layered, multi-dimensional vector memory that draws from every source of context the AI has access to.
Conversation history
Every conversation you've had with the AI is stored, indexed, and searchable. Bring up an old project and the AI knows what you discussed, what you decided, and where you left off. Nothing is lost between sessions.
Canvas artifacts
Documents and code you've worked on together stay accessible to the AI. When you reference "that draft we worked on last Tuesday," the AI actually knows what you mean. Canvases are part of the memory, not separate from it.
AI memory notes
The AI can save its own notes about you, your work, and your preferences, and you can see, edit, and delete every one of them. No black-box memory; you're always in control of what the AI remembers about you.
Knowledge core uploads
Upload documents, reference materials, or whole project archives into your Knowledge Core. The AI can draw from them in any conversation, in addition to everything else it knows about your work.
In-chat uploads
Drop files into a conversation, and they become part of the memory for that thread. Reference an uploaded image, document, or code file later, and the AI can recall it without you re-uploading.
Multi-dimensional retrieval
All of these layers are woven together through semantic vector retrieval and key saved memories. The AI doesn't just remember. It finds what's relevant when you need it, even if you didn't mention it directly.
Your memory belongs to you.
Memory is powerful. That's exactly why every piece of it has to stay yours.
One account. Many partitioned minds.
Memory is powerful. But sometimes you need it scoped. AI Nodes let you create separate, isolated AI workspaces that each remember only their own world.
Each Node has its own memory, its own conversation history, its own personality, and its own context. Nothing leaks between Nodes. The AI in your work Node has no idea what's happening in your creative Node, and that's exactly the point.
Project context, professional tone, work documents. The AI knows your team, your active projects, your meeting prep.
Creative writing, drafts, world-building. Different voice, different references, different memory. None of it bleeds into work.
Journaling, planning, personal reflection. Private, scoped, and entirely separate from anything else you do on the platform.
The architecture scales with your tier. Higher tiers unlock more Nodes: as many as you need to keep your different worlds genuinely separate.
Memory that stays yours.
Built to remember. Built to be edited. Built to be deleted. Built so you're never starting over again.
Join the experiment