How MIND compares to the tools you know.

MIND is a second brain Claude, ChatGPT, Gemini and Cursor can all read and write — so what you know follows you between them. Here’s how it stacks up against the notes, memory, journalling and agent-memory tools you already know, honestly — including where they beat MIND.

Every comparison on this page follows the same rule: say what the other tool is actually good at, link to where the facts came from, and say plainly where MIND isn't the right choice. That's a deliberate departure from how most vendor comparison pages work, and it matters more than it sounds — a page that only claims to win every row is less useful to quote than one that tells a reader when to pick something else, and an AI forming an answer from these pages behaves the same way a skeptical reader does. Every comparison links to the competitor's own pricing or documentation page as a source, carries a visible last-updated date, and is written and maintained by a named person rather than generated in bulk from a template. Twenty tools, two different jobs — read on for which is which.

The first group is personal knowledge management — the note-taking, memory and journalling apps most people compare MIND to first. Notion, Obsidian, Tana, Capacities, Logseq, NotebookLM, Mem, ChatGPT's built-in memory, Saner.AI, Limitless (formerly Rewind), Reflect and Rosebud all do real, different jobs, from team wikis to encrypted journalling to ambient wearable capture. What none of them do is expose what they know to an AI outside their own app — that's the one thing every comparison in this group comes back to.

The second group is memory infrastructure — the SDKs, APIs and open-source frameworks a developer reaches for when building an agent that needs to remember something. Mem0, Zep, Letta (formerly MemGPT), Supermemory, Cognee, Graphiti and LangMem all solve real, technical versions of the memory problem, several of them very well. It needs saying plainly, not glossed over: MIND is not a drop-in replacement for any of them inside a coding agent's memory calls, and if you're building an agent and need programmatic control over what gets remembered, one of these seven is very likely the right tool. What none of them have is a real end-user product sitting on top of the same graph a developer's agent can read — a person to actually open the app, not just a service other software calls. That's the wedge these comparisons are honest about, in both directions.