FILE-G · DOSSIER 02 · 2026.05.05 · KNOVYA EDITORIAL Field Notes Vol. III · AI-First Capture, Mapped
The Mem.ai Alternative

Mem.ai alternatives,
fairly read after the rebuild.

Mem.ai was right about a lot of things. AI as a primary surface, capture before structure, recall as the system's job. Then it went quiet for almost three years, raised nothing new after November 2022, and rebuilt the entire product as Mem 2.0 in October 2025 — still without MCP, still without end-to-end encryption. Here's the read on the eight tools people considered while Mem was rebuilding — and the ninth path we built for the era after AI-first capture.

Filed by Knovya Editorial, May 5, 2026. Cross-checked against Mem.ai's own product blog, TechCrunch and CNBC's coverage of the OpenAI Startup Fund round, Anthropic's MCP announcement, and recurring complaints across r/PKMS, r/Productivityside, and the MacPowerUsers forum.

Skip to the lineup Why we built Knovya
The Diagnosis

Four reasons people search for a Mem.ai alternative in 2026.

Mem.ai didn't break. The category moved while it was rebuilding. The four pain points below are what surfaces most often when users describe why they started looking — drawn from public review patterns, the post-2.0 feature inventory, and the math on the free and paid tiers as published on get.mem.ai/pricing.

  1. Architectural gap · The MCP era

    A rebuild that skipped the protocol the rest of the field absorbed.

    Mem 2.0 shipped on October 1, 2025 with an Agentic Chrome Extension, an email forwarding endpoint at [email protected], and an Agentic Chat that can create and edit notes inside Mem. None of these speak the Model Context Protocol that Anthropic introduced on November 25, 2024 and donated to the Linux Foundation's Agentic AI Foundation in December 2025. A user working out of Claude or Cursor today cannot reach Mem from the agent surface they already live in. The capture is great. The bridge isn't there.

    → The pioneer of AI-first capture missed the protocol that made AI-first apps composable.

  2. Privacy + AI training · Trust framework

    SOC 2 is a server-side trust framework, not end-to-end encryption.

    Mem.ai is SOC 2 Type II compliant and publishes a Trust Center at trust.mem.ai. That speaks to how well the company defends the server. What it does not speak to is whether the platform itself can read your notes — and the answer in Mem's architecture is yes. The AI features require server-side access to content, and independent reviewers have flagged that the privacy policy permits training models on user notes without a clear opt-out. Encryption-at-rest is the table stakes the industry has shipped since 2018. End-to-end is the bar AI users now ask for.

    → Trusting the server is one promise. Not needing to trust it is another.

  3. Pricing reality · Free tier

    A free tier that ends at twenty-five notes a month.

    Mem Free is capped at 25 notes per month, 25 chat messages, and 25 PDF pages understood by search. That is roughly two days of serious capture for a knowledge worker. Mem Pro at $12 per month unlocks unlimited everything; Mem Teams sits behind a "contact sales" form with no public per-seat number. The free tier reads less like an onboarding ramp and more like a screenshot reel. By contrast, Knovya Free runs at 50 notes, 50 AI credits, and 50 MCP calls per month — designed so Claude or Cursor users can connect Knovya as their memory layer without a credit card.

    → A trial is a trial. A 25-note ceiling is a paywall in costume.

  4. Roadmap concern · The quiet years

    Three years between the round and the rebuild — and no new round since.

    Mem closed a $23.5M Series A led by the OpenAI Startup Fund on November 11, 2022, joining a $5.6M seed from Andreessen Horowitz the year before. That was the last announced funding event. Between November 2022 and October 2025, the public release cadence slowed, and community readers began describing Mem 2.0 as a return — the YouTube framing the week of launch was literally "back from the dead." The company shipped the rebuild. The category, meanwhile, absorbed MCP, picked up encryption, and learned what to want next.

    → Mem was right about everything except timing.

The Lineup

Nine alternatives, each its own bet.

No tool below is "better than Mem" in the abstract. Each is a different bet about what an AI-era notes app should be — structured workspace versus free-form stream, encrypted by default versus AI-by-default, native versus cloud, all-in-one versus pure capture. Read across, then read down.

  1. 01 · The third path

    Knovya AI-native

    The MCP-native, end-to-end encrypted notes app for the era after AI-first capture.

    What it bets on

    Mem's instinct was right — recall belongs to the system, not to the user. Knovya extends it. NoteRank ranks notes by personal signal rather than recency. The Experience Envelope surfaces past precedents by outcome — what worked, what didn't, what's still open. 34 MCP tools mean Claude, ChatGPT, Cursor, Gemini, Copilot, Windsurf and Goose can read and write your knowledge base directly.

    Pricing reality

    Free forever — 50 notes, 50 AI credits, 50 MCP calls per month. Pro $15. Team $25 per user per month. Note-level AES-256-GCM encryption on Pro and Team — encrypted notes are never embedded on the server.

    The full Knovya story
  2. 02 · Structured workspace

    Notion

    Docs, databases, and team wikis — and Mem.ai's number one declared rival.

    What shone

    Pages, databases, team-first invitation, the largest template ecosystem in the category. Notion 3.0 added agent workflows in September 2025.

    Where it breaks

    Setup tax before any writing happens. Slower for fleeting capture than Mem's stream model. May 2025 pricing pushed full AI to Business at $20/user/month.

    Notion dossier
  3. 03 · Local-first markdown

    Obsidian

    Plain-text vault, plugin ecosystem, on Mem's own list of comparisons.

    What shone

    Markdown files you own. Backlinks, graph view, a plugin ecosystem that respects power users. Free for personal use. The data lives on disk, forever.

    Where it breaks

    Sync as a paid add-on. Mobile carries real friction. AI is a plugin you wire yourself. Capture is slower than Mem because the user owns the structure.

    Obsidian dossier
  4. 04 · The closest sibling

    Reflect

    Daily notes, backlinks, and built-in AI — encrypted by default.

    What shone

    The product third-party reviewers most often call the "closest direct replacement" for Mem. End-to-end encryption is on by default. Daily notes plus backlinks plus AI in one tool. $10/month — cleaner than Mem's tiering.

    Where it breaks

    No MCP. No team plan beyond personal scope. Smaller team and ecosystem than Notion or Obsidian. Less conversational chat than Mem 2.0's agentic surface.

    Reflect dossier
  5. 05 · Supertags + AI

    Tana

    An outliner where AI agents and supertags do the structuring.

    What shone

    Where Mem auto-tags by inference, Tana lets you define supertags as schemas — meeting, project, person — that meeting transcripts then populate. AI-Tana joins Zoom calls, transcribes, auto-tags action items. Power-user PKM upgraded for the agent era.

    Where it breaks

    Two-week learning curve before it earns its weight. No MCP. Mobile capture is real but secondary to desktop. Closer to a database for thinkers than a stream for capturers.

    Tana dossier
  6. 06 · Google's AI notebook

    NotebookLM

    Source-grounded research notebooks with Audio Overviews — and a free tier.

    What shone

    Free with a Google account. Strong on grounded summarisation across PDFs, slides, and transcripts. Audio Overviews turn a notebook into a podcast in one click. The closest the big platforms have come to Mem's promise of "ask my own knowledge."

    Where it breaks

    Notebooks are project-scoped, not a unified second brain. Less suited to fleeting capture. Limited offline. Tight binding to a Google account, which not every user wants.

    NotebookLM dossier
  7. 07 · Native + free

    Apple Notes

    The default iOS / macOS notepad — now with Apple Intelligence on supported devices.

    What shone

    Free with any Apple ID. iCloud sync that works. Native capture from any system surface. On supported hardware, Apple Intelligence adds writing tools and summaries on-device, which is a different privacy story than Mem's cloud-only AI.

    Where it breaks

    Apple-only. No serious search beyond basic keyword match. No backlinks, no graph, no MCP. Strong as a fast capture surface but thin as a knowledge base.

    Apple Notes dossier
  8. 08 · The legacy player

    Evernote

    The original second brain, post-Bending Spoons, shipping AI again.

    What shone

    After the 2022 Bending Spoons acquisition, Evernote re-accelerated. AI grammar, AI transcription on voice notes, calendar integration, tasks. Wide platform coverage. Listed on Mem.ai's own compare page as a peer.

    Where it breaks

    Higher monthly cost than the AI-native challengers. UI still feels closer to 2014 than to 2026. AI features remain a layer on top, not the architecture itself.

    Evernote dossier
  9. 09 · Card-based PKM

    Supernotes

    Notecard-shaped knowledge with explicit hierarchy — and a dedicated Mem-alternative pitch.

    What shone

    Cross-platform native apps for iOS, Android, macOS, Windows, Linux, and web. Card-based notes, clean export to PDF/JSON/Markdown, public API. Maintains a dedicated "alternative-to-mem.ai" page on its own marketing site — a tell.

    Where it breaks

    AI features are lighter than Mem 2.0 or Knovya. Card model is opinionated; not for users who want a freeform stream. No MCP, no end-to-end encryption.

    Supernotes dossier
Side-by-side

The matrix, without the marketing.

Each cell below is a question of architecture, not preference. Yes means the capability is first-party and core. ~ means partial, paid add-on, or workaround. No means absent. Read across.

Capability Knovya Mem.ai Notion Obsidian Reflect Tana NotebookLM Apple Notes Evernote Supernotes
AI-native, not bolted on ● Core ● Core (2.0) ○ Bolted (3.0) — Plugin ● Built-in ● Supertags ● Source-bound ○ Apple Intel. ○ Add-on ○ Lightweight
MCP support (read & write) ● 34 tools — No ○ First-party — No — No — No — No — No — No — No
End-to-end encryption ● AES-256-GCM — SOC 2 only — Transport only ○ Local files ● Default — No — Google cloud ○ Locked notes — Server-side — No
Personal ranking / smart resurfacing ● NoteRank ○ Heads Up — Recency — Manual ○ Daily ties ○ Tag rules ○ Source-bound — Recency — Recency — Manual
Bidirectional links / knowledge graph ● First-class ○ Smart refs ○ Manual ● Native ● Native ● Supertags — No — No — No ○ Card links
Voice capture + transcription ● Native ● Voice Mode — No ○ Plugin ○ Mobile only ● AI-Tana ● Audio inputs ○ Voice memo ● AI transcribe — No
Native mobile apps ● iOS + Android ○ iOS strong ○ Web wrapper ○ Reduced ● Yes ○ iOS-first — Web only ● Native ● Yes ● Yes
Reliable offline ● Yes ● Offline-first 2.0 ○ Spotty ● Default ○ Limited ○ Limited — Online-only ● Yes ○ Limited ● Yes
Free tier (genuinely usable) ● 50/50/50 — 25 notes/mo ● Generous ● Personal ○ 14-day trial ○ Limited beta ● Free, w/ Google ● Apple ID ○ 50 MB / mo ● 100 cards
Real-time team collab ● Team plan ○ Custom Teams ● Yes — Workaround — Personal ● Multiplayer ○ Notebook share — Personal ○ Spaces ● Yes
Personal entry pricing $15/mo Pro $12/mo Pro $10 Plus, $20 for AI Free + $4 sync $10/mo $10/mo Free w/ Google Free w/ Apple ID $14.99/mo Pro $8.50/mo
Cross-platform parity ● All five ○ Web + iOS-first ○ Web-first ○ Desktop-best ● All five ○ Web + iOS — Web only ○ Apple-only ● All five ● All five
Migration path from Mem ● Markdown import — ○ Manual ○ Markdown ○ Markdown ○ Manual — Sources only — No ○ Manual ○ Markdown

Mem.ai pricing reflects the current public Pro tier at $12/month after the Mem 2.0 launch on October 1, 2025. The Mem Free tier remains capped at 25 notes, 25 chat messages, and 25 PDF pages per month. Mem Teams is custom pricing through sales rather than a public per-seat figure. Knovya Free stays at 50 notes, 50 AI credits, and 50 MCP calls per month — designed so a Claude or Cursor user can connect Knovya as their memory layer without a credit card.

Pick by Question

The honest framing: which Mem trade-off cracked first?

The wrong question is "what is the best Mem.ai alternative." The right one is "which Mem constraint cracked first in your workflow." Three honest paths, each pointing at a different tool.

Path A · The MCP-era capturer

You loved Mem's instinct, but you want it to reach into Claude and Cursor.

You believed Mem's bet from day one — capture everything, let the system recall. But the surfaces where you actually work now are Claude and Cursor and ChatGPT, and Mem doesn't speak the protocol they speak. You want the same friction-free capture, plus 34 MCP tools, plus encryption you can toggle on the notes that need it, plus a personal ranking that actually learns what you reach for.

Recommendation Knovya
Path B · The privacy-first journaler

Your friction is that Mem reads everything to organise it.

You like the AI surface, but the privacy model never sat right. You want backlinks, you want a daily-notes flow that compounds week to week, and you want end-to-end encryption on by default — not as a server-side promise. You're closer to a Roam-style thinker than a stream-of-consciousness capturer, and you want a tool that's built for that shape.

Recommendation Reflect
Path C · The Google-grounded researcher

You want AI grounded in the sources you uploaded, not your whole life.

You're not trying to build a second brain. You're trying to read three PDFs, six articles, and an hour of recorded interview, and ask questions across all of it. You want citations back. You don't want to pay $12 a month, and you already live in Google's ecosystem. The right answer here isn't a Mem replacement — it's a different category.

Recommendation NotebookLM
The Migration Path

From Mem to Knovya, without losing the auto-tagging.

Five steps, roughly twenty minutes for a knowledge base under five thousand notes. The Mem auto-tags survive the move. Smart references become first-class mention links. The MCP layer plugs into Claude or Cursor immediately. End-to-end encryption is one toggle on Pro.

  1. Export from Mem as Markdown.

    In Mem, open Settings → Account → Export your data. Mem packages your notes as a Markdown bundle with one file per note, tags preserved as YAML frontmatter, attachments resolved alongside. For larger knowledge bases the export arrives as a download link by email. Keep the original archive — it's your insurance policy.

    $ ls mem-export/ notes/ attachments/ index.json $ head -1 notes/2024-q3-pricing-call.md --- tags: [pricing, q3-2024, calls] created: 2024-08-14 ---

  2. Drop the bundle into Knovya's importer.

    Open knovya.com/import, drop the Markdown bundle, pick the destination folder. Knovya parses YAML frontmatter into native tags and metadata, restores Mem's auto-generated tag taxonomy as a tag tree, and queues an embedding pass for hybrid search. The tags Mem produced through inference become tags Knovya treats as first-class.

  3. Smart references become first-class mention links.

    Mem's smart references — the inline pointers Mem added when one note clearly referred to another — convert to Knovya mention blocks. Each becomes a clickable link in the source note and a backlink in the target. The link graph is preserved; the right pane lights up with bidirectional connections on first load.

  4. Connect Claude, Cursor, or ChatGPT through MCP.

    In Knovya, open Settings → MCP → Generate token. In Claude Desktop or Cursor, paste the server URL into the MCP config. Thirty-four tools become available — knovya_search, knovya_write, knovya_experience, and the rest — and the model can read and write your knowledge base directly from inside the agent surface where you already work.

    # claude_desktop_config.json "mcpServers": { "knovya": { "url": "https://mcp.knovya.com/v1", "auth": "oauth" } }

  5. Turn on end-to-end encryption for what matters.

    On Pro and Team, mark any note encrypted in the right pane. AES-256-GCM with a key derived from your passphrase; the ciphertext sits on Knovya's servers, the plaintext never does. Encrypted notes are excluded from server-side embeddings — search on those happens on-device. The Mem trade-off you accepted by default — server-side access for AI to work — is now a per-note choice.

The honest caveat: Mem's Voice Mode transcripts and Heads Up resurfacing history don't have a 1:1 equivalent in Knovya yet. Voice transcripts come over as plain Markdown notes; Heads Up is replaced by NoteRank, which ranks differently and learns from a fresh signal surface. Most knowledge transfers cleanly. The shape of "what surfaces next" is rebuilt from your first week of use.

Why we built it

Knovya isn't here to replace Mem.
It's built for the era Mem didn't quite reach in time.

Each tool above got one bet right. Mem's AI-first capture instinct. Reflect's encrypted daily notes. Tana's AI supertags. NotebookLM's source-grounded reasoning. Knovya's bet is the era after MCP — when knowledge and AI travel together, encrypted, on every device, ranked by what you actually use.

  1. CLAIM 01

    NoteRank — the right note, before you finish typing.

    A fourteen-signal personal ranking that learns which notes you actually return to, then surfaces them first. Hybrid search blends Postgres full-text and pgvector embeddings via reciprocal rank fusion.

  2. CLAIM 02

    Experience Envelope — past precedents, by outcome.

    Group your archived plans, decisions, and retros by what actually happened next. The system surfaces the precedent that matches the situation in front of you, not just the one with matching keywords.

  3. CLAIM 03

    MCP-native — 34 tools, OAuth 2.1 with PKCE.

    The Model Context Protocol arrived November 25, 2024. Knovya was designed around it. Claude, ChatGPT, Cursor, Gemini, Copilot, Windsurf, and Goose can read and write your knowledge base directly.

  4. CLAIM 04

    End-to-end encrypted — AES-256-GCM, never embedded.

    Pro and Team include note-level end-to-end encryption. Encrypted notes are not searchable or embeddable on the server — search on those happens on your device. Privacy as architecture, not policy.

Start free — 50 notes, 50 AI credits, 50 MCP calls See pricing

Filed by · Knovya Editorial · 2026.05.05 · AI-First Capture, Mapped

Reader Questions

The eight questions most often asked.

Drawn from People-Also-Ask boxes on the search results for "mem.ai alternative" and "mem.ai alternatives", and the threads on r/PKMS, r/Productivityside, and the MacPowerUsers forum that surface the same questions in slightly different words.

Is Mem.ai still being developed in 2026?

Yes. Mem.ai shipped Mem 2.0 on October 1, 2025 — described by founder Kevin Moody as a complete rebuild after roughly two years of work. The launch followed a long quiet period after the November 2022 Series A; community readers framed it as a return rather than a continuation.

The product is alive and shipping. The underlying company has not announced new funding since November 2022, and the team remains around 37 people.

How much does Mem.ai cost per month in 2026?

Mem Pro is $12 per month for unlimited notes, chat, deep search, collections, templates, and connected emails. The free tier is capped at 25 notes per month, 25 chat messages, and 25 PDF pages — restrictive enough that most active users hit the ceiling within days. Mem Teams is custom-priced through sales rather than published as a public per-seat number.

By comparison, Knovya Free includes 50 notes, 50 AI credits, and 50 MCP calls per month; Pro is $15; Team is $25 per user per month.

Does Mem.ai support MCP (Model Context Protocol)?

No. Mem 2.0 launched in October 2025 without an MCP server, and the post-launch roadmap has not announced one. Mem ships an Agentic Chrome Extension, an email forwarding endpoint at [email protected], and an Agentic Chat that can create and edit notes inside Mem — but none of these speak the Model Context Protocol that Anthropic introduced in November 2024 and donated to the Linux Foundation in December 2025.

Knovya is MCP-native with 34 tools, OAuth 2.1 plus PKCE, and works directly inside Claude, ChatGPT, Cursor, Gemini, Copilot, Windsurf, and Goose.

Are Mem.ai notes end-to-end encrypted?

No. Mem.ai is SOC 2 Type II compliant and publishes a Trust Center, but Mem does not offer end-to-end encryption — the AI features require server-side access to your note contents. Independent reviewers have noted that the privacy policy permits training AI models on user content without a clear opt-out.

Knovya offers note-level end-to-end encryption with AES-256-GCM on Pro, where encrypted notes are never embedded on the server and remain unreadable by the platform itself.

How do I export my notes out of Mem.ai?

Mem allows note export, but the path is less portable than tools built around plain Markdown files. Reviewers consistently flag this as a vendor-lock concern: getting your full knowledge base out cleanly is harder than with Obsidian's local Markdown vault or Notion's bulk export.

Knovya was designed for the inverse — every note exports as standard Markdown, mention links survive the export as portable references, and the migration path from Mem to Knovya preserves the auto-tagging Mem already produced.

What is the best alternative to Mem.ai for AI note-taking?

There is no single best Mem.ai alternative — the right choice depends on which Mem trade-off matters most. For users who want AI capture plus MCP plus encryption, Knovya is the closest fit. For users who specifically want backlinks and daily-notes journaling with E2E, Reflect is the closest direct rival at $10 per month.

For users who want structured AI tags with deep flexibility, Tana is the strongest option. For users who want Google's native AI on documents and audio, NotebookLM is free with a Google account. For users on Apple devices who want zero subscription, Apple Notes plus Apple Intelligence is the cheapest path.

Mem.ai vs Reflect — which is the better AI notes app?

Reflect and Mem are the two products people most often compare. Both pioneered AI-first capture. Reflect adds two things Mem still lacks: end-to-end encryption by default and a backlinks-plus-daily-notes structure that resembles Roam Research more than a freeform stream. Mem is stronger on conversational chat over your knowledge base and on auto-tagging without manual input.

Pricing is similar — Reflect $10 per month, Mem Pro $12. The decision usually reduces to: do you trust the AI to organize for you (Mem), or do you want encryption plus connected daily notes (Reflect)? Knovya is built to remove the trade — AI-organized capture with end-to-end encryption and a personal knowledge graph in one tool.

Can I use Mem.ai without a Google account?

Mem.ai's pricing FAQ explicitly addresses non-Google sign-in, which signals that a Google or Google Workspace account is the assumed path. For users in Apple-first or Microsoft-first environments, this can be a friction point — particularly for teams whose identity provider is not Google.

Knovya supports email plus password, GitHub, Google, and Microsoft sign-in on day one, with workspace-level identity controls and 2FA available across all tiers.

The Bonded Panel

Where this dossier connects to the rest of the archive.

If you arrived here looking for one tool and want to read the others — or understand the concepts behind the bets — these are the next pages in the file.

Sibling alternative dossiers

Knovya features in this story

Concepts & adjacent hubs

The Conclusion

Mem.ai proved the category in 2020.
The next chapter belongs to the tools that finished what Mem started.

Each of the eight alternatives above got something right that Mem either missed or didn't finish. Notion's structured workspace and team gravity. Obsidian's respect for plain Markdown on disk. Reflect's encrypted backlinks and daily notes. Tana's supertags and AI-Tana meeting capture. NotebookLM's source-grounded reasoning that ships free with a Google account. Apple Notes' on-device AI on Apple Intelligence hardware. Evernote's post-acquisition AI revival. Supernotes' card-based discipline and broad native coverage. Eight bets, eight different reads of what came after Mem.

On November 25, 2024, Anthropic introduced the Model Context Protocol — the first open standard for AI to read and write across your knowledge. Mem 2.0 launched eleven months later, in October 2025, without it. That gap is the story this dossier is about.

Knovya launches in 2026 for that era: MCP-native AI, end-to-end encryption, cloud sync without compromise, mobile parity from day one, real teams, and the speed of a desktop app. Built on the lesson Mem taught the field — that recall belongs to the system — and on the lessons the rest of the field added while Mem was rebuilding.

The rest of the archive is at /features and /manifesto if you want to see what we built and why. The companion piece on Notion is at /alternatives/notion.

— Filed by Knovya Editorial · 2026.05.05