mymemory vs innernet

mymemory is a keepsake. innernet is a working memory.

mymemory has you speak your memories into a phone — voice recordings that train a personal AI you can talk to, and optionally share with other people's AIs. It's intimate, it's low-friction, and there's something real in it: the things people say out loud are not the things they type.

But a memory made of what you chose to record is a self-portrait. innernet reads what actually accumulates while you work, and it exists so the AI tools you already use behave as though they know you.

"The first Human-centered AI, created just for you." A mobile app for recording and uploading voice memories, from which a personalised AI of you is built. It learns from verbal and visual input, uses environmental and location context to read moods and preferences, and can be shared — you can let other users' AIs interact with yours. Free tier with 10 recordings a month; paid tiers at $0.99 and $4.99 for more recordings and storage. iOS and Android.

The pitch is companionship and self-understanding through voice, and the pricing says it's built for individuals rather than teams or developers.

A personal memory layer that any AI tool can read. npx innernet connects the tools already on your machine — Claude Code, Cursor, Codex, Windsurf, Gemini CLI, Claude Desktop, VS Code, Cline, Zed, Continue — to a single memory, with an MCP endpoint for anything else. netti files what accumulates into Context Maps: dimensions that read like living documents, nodes for the people and decisions that recur, and version history you can branch and roll back.

The output isn't a companion to talk to. It's every tool you already use, arriving already informed.

A voice memory exists because you decided to make it. That's its charm and its ceiling — you only record what you already know is worth recording. innernet's material is the residue of doing the work: the decision you made without noting it, the reasoning you gave once in passing, the person who keeps coming up. netti reads across that and writes what nobody sat down to write.

mymemory's product is a conversation with an AI of yourself. innernet's product is that your other AIs get better. We never ask you to come and talk to your memory — the memory shows up where you already are. Those are different desires and it's worth being honest that some people want the first one.

mymemory lets your AI interact with other people's. innernet's model is narrower and stricter: every fact carries how far it may travel — private, self, trusted, work, public — and that class is enforced when any tool reads. Sharing is a per-fact decision, not a per-account setting.

• ·Voice is the lowest-friction capture there is. Speaking a memory into a phone beats writing it, and we don't have this.
• ·It captures a register we miss. Mood, texture, the way something felt — not the sort of thing that shows up in a work session.
• ·Mobile-first. It's with you where memories actually happen.
• ·Cheap and personal. A dollar a month for something with no ambitions on your workflow is an honest offer.

• ·It works without being visited. The value arrives inside the tools you're already using, not in a separate app you have to remember to open.
• ·It holds reasoning, not just recollection. Decisions, why they were made, what overturned them — versioned and branchable.
• ·Per-fact disclosure enforced on read. Private and self-only facts never leave your Self Map, even with an AI connected.
• ·Something is doing editorial work. netti decides what earns a place and updates it when the work moves.

Use mymemory if what you want to keep is personal — moments, moods, things you'd say out loud and want back later, and an AI of yourself to talk to.

Use innernet if what you want kept is your thinking, and the reason you want it kept is that six AI tools keep asking you to explain it.

There's no conflict. They're aimed at different halves of a life.

"Isn't voice a better way in? Typing into tools feels like work."

Voice is a better way in, which is why it's on our list of things we don't have. But the input isn't the hard part of memory — what happens after it is. Recordings pile up; the question is whether anything reads them, notices the third time you circled the same problem, and writes that down where your other tools can see it. That's the job netti does, and it's separate from how the material got there.

Accurate as of 3 September 2026, based on mymemory.ai's public site. If we've described their product incorrectly, tell us and we'll correct it.