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Notes on persistent AI memory.

Comparisons, how-tos, and deeper looks at why memory across conversations changes how AI feels in daily use.

2026-04-28

Why your AI keeps forgetting (and why nobody is fixing it)

Every LLM you talk to forgets you the moment the chat closes. Here's the actual reason — token economics, training shape, architecture — and why memory is the missing layer.
2026-04-28

Context window vs memory vs persistence: three things people mean when they say "AI memory"

These three terms get used interchangeably and they shouldn't be. Here's the practical difference and why it matters when you're choosing a tool.
2026-04-28

What persistent AI memory actually requires (and why bolt-on solutions fail)

Real persistent memory needs four moving parts: capture, storage, retrieval, and curation. Here's why each one matters and what goes wrong when one is missing.
2026-04-26

Moss vs ChatGPT memory: what each one actually does

ChatGPT remembers in a saved-facts list. Moss carries full context across every chat. Here's the practical difference for daily users.
2026-04-26

Moss vs Claude's project memory: where Claude stops and Moss starts

Claude's project memory is great inside a project. Moss is great across all of them. Here's what each one is actually built for.
2026-04-26

Moss vs Mem0: consumer product vs developer library

Mem0 is a memory layer you build on. Moss is a finished personal AI you use. Here's when each one is the right call.
2026-04-26

How to import your ChatGPT history into Moss (step by step)

Pull your ChatGPT conversation export, upload to Moss, and instantly seed your memory with everything you've ever told ChatGPT.

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