AI model memory is unstructured, decaying, and model-locked.
Arkives bring a memory structure that compounds to any model.
An Arkive's structure enables compounding intelligence.
Record
Record
Notice
Learn
Improve
Always yours
Portable by design
Always yours
Portable by design
The user owns the format, the data, and the right to take it anywhere. Arkives are exportable in full at any time.
Portable
across any of the
leading models
Understood
by any of the
leading models
Arkives are readable by any MCP-compatible AI. Claude, ChatGPT, Grok, Gemini, and any other frontier model can be connected.
Collaborative across users in real time
Collaborative across users in real time
An Arkive can be shared across users in real time, with controlled permissions. Every change is recorded and attributed to the user who made it.
