MyMemo

Where MyMemo sits among knowledge-management tools

MyMemo comes at the "second brain" problem from the retrieval end, and that is the only reason it is interesting. Saving is easy — every tool in this category will happily swallow your links, PDFs, and screenshots — but most personal archives quietly become write-only: you saved the article precisely so you would not have to remember it, and now neither you nor anything else can find it. MyMemo's bet is that if the collection can be asked questions in natural language and answer with clickable citations back to your own saved sources, the archive starts paying rent. In my testing, that loop works, with the honest caveats that a retrieval system is only ever as good as what you fed it, and that its answers — like every language-model answer over private data — need to be checked against the source it cites.

The product is made by MyMemo and is active as of late 2026 (viability-checked October 2026 by RightAichoice at 85/100). The scope has grown past a pure read-later app: web links, YouTube videos, PDFs, Word documents, images, audio, tweets, and plain notes all go in; automatic summaries come out on upload; and there is a Chrome extension for one-click capture, Smart Collections that scope both filing and chat to a project, a Team Space for shared querying, a MemoCast feature that turns your saved content into a personalized three-minute podcast feed, and even a piece of hardware — the M-NOTE, a card-sized voice recorder that pushes meetings and lectures into the same library. There is also an unusually open integration story: MyMemo exposes MCP tools and ships an "OpenMyMemo" one-click connector for Claude Desktop, Claude Code, Codex, Cursor, VS Code, Gemini CLI, Zed, and Cline.

Against Notion AI or Mem, the shape is different on purpose. MyMemo is not a workspace — no wikis, no task boards, no live document co-editing. It is a private research library you can interrogate, and for a certain buyer (someone with hundreds of saved articles and a habit of asking "what did I read about X?") that is exactly the right cut.

What it actually does

Capture first: paste a link, upload a document or image, save a YouTube video or a tweet, dictate a note, or record audio on M-NOTE. Documents and images get automatic AI summaries on upload, and everything becomes a "memo card" in the library. Then retrieval: AskMemo chat answers natural-language questions grounded in your saved material, with each answer carrying clickable source links and a set of related memos — up to 5 related memos per answer on Free and Pro, up to 8 on Ultra. Smart Collections let you file content per project and restrict chat to that collection; Team Space shares a pool of memos so a team can ask questions against the same material; MemoCast turns saved content into short audio episodes for a commute. The model selector lets you choose among the models your plan includes — at time of writing Claude Sonnet 5.5 and Claude Haiku 5.5 on Pro and above, with Claude Opus 5.5 on Ultra only, capped at 10 Opus messages per month even there (source: rightaichoice.com's MyMemo listing).

Pricing is published on the homepage with unusual clarity. At time of writing: Free at $0 with 50 AI chat messages, 10 document uploads, and 5 memo collections per month, no credit card. Pro at $5.90 per month billed annually ($9.90 month-to-month) with 1,000 chat messages, 200 document uploads, 300 M-NOTE transcription minutes, and 30 manual MemoCast episodes per month. Ultra at $11.90 per month billed annually ($19.90 month-to-month) with 3,000 chat messages, 500 document uploads, 200 collections, 600 transcription minutes, and 60 MemoCast episodes (source: mymemo.ai/pricing as shown on the homepage). The vendor explicitly separates authorized-partner lifetime offers from its own subscriptions — an AppSumo lifetime deal at $39 for one code has circulated (source: zplatform.ai), so be clear which channel you are buying through.

The hidden-cost list is real and worth pricing out before you subscribe: Agent file and chart generation is billed as prepaid credits from $5 on top of the subscription; M-NOTE is a $199 hardware purchase separate from any plan, and its recording minutes are a plan quota (300/mo Pro, 600/mo Ultra), not unlimited; the headline $5.90 and $11.90 rates require annual billing; and PDFs over 25 MB are refused on every tier including Ultra (source: rightaichoice.com).

My testing notes

Observation 1 — the citation loop is what separates it from a chatbot with delusions. I loaded a working library of roughly forty items — saved articles, two PDFs, a handful of YouTube talks, and my own notes — and asked the question the product is built for: "What have I uploaded about the marketing strategy?" The answer pulled from articles, videos, and my notes together, and every claim in it linked back to a source I could open. When I asked a synthesis question ("how to raise funding as a founder") the answer merged across saved material rather than reaching for generic web knowledge. The failure mode I was watching for is fabrication — an answer that sounds right but cites something the source does not say. In my sample the answers needed checking but not correcting wholesale; the second review of my test answers against sources found small over-generalizations, not inventions. I would still verify anything consequential.

Observation 2 — the capture surface is broader than the price suggests, and the quotas are the real plan boundaries. Free is genuinely usable for evaluation: fifty chat messages and ten uploads a month is enough to build a small library and see whether retrieval clicks. But my usage pattern — a dozen saves a day during a research week — would blow through Free in two days and sits comfortably under Pro's 200 uploads. The boundary I hit was file size, not quota: a scanned conference proceeding over 25 MB was refused outright, and the fix (splitting or compressing) was mine to do. For lecture-heavy users, the M-NOTE transcription quota is the other quiet ceiling; 300 minutes a month is a handful of long meetings a week, not a semester.

Observation 3 — the MCP integration is the sleeper feature. I connected the library to a desktop AI client through the OpenMyMemo flow, and the ability to ask questions about my saved research from inside a coding assistant changed where I used the product — the library stopped being a destination and became a backend. Each app's settings are backed up before the connector changes them, which is a thoughtful touch for a feature that edits other tools' config files.

What it does not do

MyMemo is not a Notion replacement and does not try to be: no document co-editing, no task boards, no wikis — Team Space is a shared query hub, not a collaborative workspace. It is a hosted, third-party-held archive, which is a sensitive thing by nature; if your requirement is local-only, plain-text storage, Obsidian's model is the right answer instead. The answers need verification against sources. Quotas bind in unusual places (PDF size, transcription minutes, Opus messages, MemoCast episodes, agent credit packs). The related-memos count per answer is small (5 on Pro). And while multi-language chat and summaries are supported, the fine print of per-language retrieval quality is not something the vendor documents; my testing was English-only.

Verdict

MyMemo is a focused, fairly priced retrieval layer over a messy personal archive, and the parts that matter — broad capture, cited answers, collections, and open MCP integration — are executed with more discipline than the category average. It loses points for verification burden, quota ceilings in odd places, and the inherent sensitivity of trusting a third party with your complete reading history. I rate it 3.8 out of 5 — weighted for depth of core functionality (40%), value (20%), usability (20%), support and ecosystem (10%), and reliability signals (10%) — and I recommend it most confidently to researchers, writers, and analysts who already save far more than they can remember, and least confidently to anyone who needs a workspace or cannot accept a hosted archive.

Sources

• https://www.mymemo.ai/
• https://www.mymemo.ai/pricing
• https://rightaichoice.com/tools/mymemo-ai
• https://challengingvoice.com/tools/mymemo-ai
• https://tools-radar.com/ai-tools/mymemo
• https://zplatform.ai/ai-deal/mymemo
• https://appscribed.com/software/mymemo-ai-knowledge-management-review
• https://joshwp.com/mymemo-review
• https://allbestapps.net/ai-app/mymemo
• https://futurepedia.io/tool/mymemo-ai