memo vs innernet
memo helps you remember. innernet makes your tools remember.
the short version
memo helps you remember. innernet makes your tools remember.
That's the entire comparison, and it's worth stating plainly rather than manufacturing a rivalry: memo is a learning product. It exists so that knowledge ends up in your head and stays there — flashcards, active recall, spaced repetition, practice tests. innernet exists so that knowledge ends up in your AI tools and stays there, so you don't have to hold it at all.
Different organs. Nobody should be choosing between these.
what memo is building
An AI knowledge workspace for learning. "Upload PDFs, videos, websites, and text. Ask grounded questions across your sources and generate flashcards, notes, tests, and guided walkthroughs." Flashcards generated with sources attached, MCQ and short-answer practice tests, a notes editor with AI writing, mind maps, and a guided tutoring Track Mode with voice. Several review styles — column, toggle, typing, learn. Audio in 32+ languages. Used by hundreds of thousands of learners across a hundred-plus countries. Web, macOS, Windows, Linux, iOS and Android.
For students and anyone studying a defined body of material, it's a strong and complete product.
what innernet is building
A personal memory layer under the AI tools you already use. npx innernet connects Claude Code, Cursor, Codex, Windsurf, Gemini CLI, Claude Desktop, VS Code, Cline, Zed and Continue to one memory, plus an MCP endpoint for the rest. netti — one per person — files what accumulates into Context Maps: dimensions that read as living documents, nodes for recurring people and decisions, commits and branches.
There's no studying, no review queue and nothing to retain. The memory does the holding.
where they diverge
1. retention vs. offloading
Spaced repetition exists to move knowledge into your long-term memory. innernet exists to make that unnecessary for the class of knowledge that shouldn't be in your head — what you decided about a project six months ago, and why. Both are legitimate; the trick is knowing which category a piece of knowledge is in. Exam material: study it. The reasoning behind an architecture decision: offload it.
2. a defined corpus vs. an open-ended life
memo works over material you upload — a syllabus, a paper, a course. It has a boundary, and that boundary is what makes the flashcards good. innernet's material has no boundary and never stops arriving, which is why the work is editorial: something has to decide what earns a place and what's noise.
3. the same source, twice
memo turns a source into questions about the source. innernet turns your work into statements about you. Ask each of them "what does the user think?" — only one has ever been trying to answer that.
side by side
| memo | innernet | |
|---|---|---|
| Purpose | you learn and retain the material | your tools hold your context |
| Material | uploaded sources — PDFs, videos, sites | what accumulates across your AI work |
| Output | flashcards, tests, notes, mind maps, tutoring | dimensions, nodes, conclusions with history |
| Where knowledge ends up | in your head | in every AI tool you connect |
| Reachable by Claude Code / Cursor | not the surface it's built for | yes — one command |
| Best user | a student or anyone studying a body of material | someone whose work spans several AI tools |
where memo is genuinely better
- It's built for learning and we aren't. Active recall, spaced repetition and practice testing are evidence-backed and we don't do any of it.
- Generated study material with sources attached. Flashcards that cite where they came from is the right design.
- Track Mode. Guided, voice-led tutoring is a genuinely ambitious feature.
- Reach. Every platform, 32+ languages, a very large learner base.
where innernet is stronger
- Nothing to study. The memory is read by your tools; you never revise it.
- It holds reasoning that has no syllabus. Decisions, positions, the shape of a project over months.
- Versioned change. What you used to think stays readable next to what you think now.
- Per-fact disclosure. Every fact carries how far it may travel, enforced on read.
which one you want
Use memo if you're studying — a course, a certification, a field you're trying to actually know.
Use innernet if you're building or working across several AI tools and you're tired of re-explaining your own project to each of them.
Both, easily. They don't overlap at any point.
the question we actually get
"Both of you say 'memory'. What's the actual difference?"
Whose memory. memo is improving yours — the goal is that you can recall something without looking. innernet is improving your tools' — the goal is that you never need to, because whatever you open already knows. If the knowledge should live in your head, memo is the right product and we're not competing for it.
Accurate as of 3 September 2026, based on memo's public site. If we've described their product incorrectly, tell us and we'll correct it.
this is what innernet remembers. you can keep your own.
innernet is memory your ai tools read live — projects, decisions, the things you’d otherwise re-explain every session. we write these letters out of ours.