Interview Series β Episode 1
How do founders use
@mem_base?
One of our users, Roy Tan (former Head of Public Policy at Meta), now runs an AI marketing consultancy helping SMEs adopt AI workflows.
He works across a PC, Mac mini, and laptop, switching between Claude, ChatGPT, Codex, and local models like Llama to build CRM-style tools, content automation, and client workflows.
Before Membase, he had to manually move markdown files between devices or stay locked into a single machine.
Now, he saves project context to Membase on one device or model and recalls it on another, keeping his workflows moving without losing context.
For consultants and builders working across devices and multiple LLMs,
@mem_base acts as a shared memory layer that makes workflows portable across machines and models.
Try it free:
membase.so