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A mirror, not an assistant.
You write to it like a journal. It reflects, remembers your whole life, and shows you the patterns you can't see in yourself — and it does all of that without ever reading you the way every other AI does. Your words are encrypted under your own key, the model only ever sees them with the names stripped out, and nothing lives anywhere you can't take back.
Live on 0G Aristotle mainnet. Every number on this page has a command behind it.
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Don't take our word for it. Watch the 3-minute demo, then open the visual proof deck — every screen as a real screenshot, the on-chain iNFT mint shown on the 0G explorer, and a runnable command behind every claim. The whole product, verifiable in a few minutes.
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Try it
See the proof
npm run evals — the 21-suite memory gatetest:anon · test:privacy · test:restore — the privacy and ownership receiptsThe research underneath — two deep-dives worth your time: How the category leaders build each feature, and what humans actually demand ↗ · What a normal user sees, feels, and does ↗
What's built — the scale, plainly. One private memory engine behind ~30 features across 25 routes: daily reflection (4 lenses), the 14-day Pattern Mirror, the Life Canvas (your whole life visualized), Ask My Life, a private assistant, private web research, image gen, Programs, Intentions, Therapy-prep, Future-Self, Wrapped, Correlations, Themes, voice, capture, imports, an installable mobile app, and a shareable card — plus 21 CI-gated eval suites, an ERC-7857 Memory iNFT minted on mainnet, and reflection sealed in a 0G TEE. A finished product, live on 0G mainnet — not a prototype.
A private journal whose memory actually understands you. Most AI journals read your most private writing on a company's servers, keep it, train on it, and can lock you out tomorrow — the privacy policy is the only thing between your inner life and their database, and a policy is a promise, not a mechanism. Knole is the other way round. The understanding is real; it just never costs you your privacy or your ownership. You write; it reflects, remembers, and — only as much as you allow — reaches back.
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Therapy & companionship is the #1 generative-AI use case — ~31% of all usage, up from 17% in 2024 (HBR 2025); ~1 in 4 Americans would rather talk to an AI than attend therapy. Knole sits at the center of consumer AI, not a wellness niche.
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People are already hand-building Knole — and it goes viral. Unprompted demand for the exact behaviour Knole productises, listened for natively across Reddit / Hacker News / X:
| What people actually say (verbatim) | Signal |
|---|---|
| “I fed 14 years of journals into Claude → it found a 4-month burnout cycle I never noticed.” | 2,021↑ — the Pattern Mirror aha, done by hand |
| “AI sees the patterns I refuse to accept; it’s not sugarcoating.” | the anti-sycophancy want |
| “It rereads the whole thread every time.” · “I’m renting my intelligence — I want to own it.” | 2,182↑ — continuity + ownership of self |
| “Why would anyone put privileged info in a cloud GPT?” (r/privacy) | 379↑ — the privacy objection to every incumbent |
| “Switched to Apple Notes so my wife won’t find them — but it’s no fun anymore.” · “burned 20 childhood journals.” | the mainstream privacy churn — “no one in your life can open it” |
| “Too much journaling about my anxieties and I begin fixating.” | 559↑ — why Knole’s rumination guard matters |
The privacy fear isn’t hypothetical — it’s on the record. A court ordered OpenAI to produce 20M “deleted” ChatGPT logs, and Sam Altman concedes there’s “no legal confidentiality” for AI chats. Day One — the privacy-leading incumbent — admits entries are “temporarily not end-to-end encrypted while being processed with AI.” That gap, in the incumbents’ own words, is Knole’s wedge — and why anonymise-before-the-model is on the marquee.
Investors and users are already funding this exact category — so Knole’s bet is de-risked; the edge is sharper differentiation, not first-mover risk:
| Player | Traction / funding | What it proves — and how Knole differs |
|---|---|---|
| Rosebud | $6M (Bessemer, Tim Ferriss) · ~10k payers · $12.99/mo | Raised on paying-user traction, not tech — the format (a “Wrapped,” an archetype reveal) converts. Knole differentiates on the day-15 cadence, honesty, and real privacy. |
| Mindsera | Solo-built · 80k users · Apple “App We Love” | A tiny team wins on taste — but it reads clinical and cold. The warm-and-honest middle is wide open. |
| PIN AI | $10M (a16z) · on-device TEE LLM | Serious money is on private, user-owned AI. PIN isn’t a journal — the reflective-corpus wedge is open. |
| Dot (New Computer) | $3.7M (OpenAI Startup Fund) · shut down at ~24.5k downloads | Polish ≠ retention. The cautionary base-rate Knole’s 30-second daily loop is built to beat. |
The number the category lives or dies on is retention — and Knole is built to win it. AI apps retain 21% vs 30.7% for non-AI and cancel ~30% faster (RevenueCat 2026), because heavy apps add friction (Daylio’s two-tap → ~40% D30; heavy journals → ~3%). Knole’s answer: a 30-second daily check-in as the on-ramp, with the deep reflection running after, in the background — the retention loop shipped this cycle.
The whitespace no competitor holds all four of: ChatGPT-history import · Omission Radar (negative-space) · anonymise-before-the-model · a fast-cadence shareable reveal.
The category demand is proven above. Here it is at the resolution that matters: every surface answers a want people already voice — or a behaviour they already improvise by hand. Nothing here is speculative.
| Knole feature | The demand it answers — verbatim, or behaviour in the wild | Signal / source |
|---|---|---|
| Daily Reflection + in-the-moment deepening | Rosebud's “Go deeper” is the one feature users name by name in reviews; Wirecutter made Rosebud its AI pick specifically because the follow-ups “helped us dig deeper.” | Play Store 4.4★ · Wirecutter |
| The Pattern Mirror (day-15 synthesis) | “I fed 14 years of journals into Claude → it found a 4-month burnout cycle I never noticed.” People hand-build the exact aha; and “I looked for an app that would give me insights about my behaviour and haven’t found anything good.” | 2,021↑ · r/digitaljournaling |
| Ask My Life (quoted back by date) | “Re-reading older entries really helps me understand my patterns.” Memory-grounded callbacks are what reviewers say make Rosebud “feel like it knows you.” | r/digitaljournaling · Simone teardown |
| Honest lenses (anti-sycophancy) | “AI sees the patterns I refuse to accept; it’s not sugarcoating.” The warm-but-honest middle is open — Mindsera “reads clinical and cold.” | the anti-sycophancy want (X/Reddit) |
| Privacy (anonymise-before-model · encryption · ownership) | “Why would anyone put privileged info in a cloud GPT?” · “Switched to Apple Notes so my wife won’t find them.” A court ordered OpenAI to produce 20M “deleted” logs; a16z put $10M into PIN AI’s private, user-owned AI. | 379↑ r/privacy · court record · a16z |
| Programs (guided arcs) | Reflection.app’s whole pitch is “never face a blank page” (100+ programs); “writing paragraphs is too much effort — I start strong then forget the app exists.” | Reflection.app · r/getdisciplined |
| Intentions (evidence-quoted goals) | Rosebud’s AI-proposed goals are named as a reason users pay (“it identifies them from what you’re expressing”); and nobody does evidence-quoted goal tracking — a leapfrog, not a copy. | Simone teardown · category gap |
| Therapy prep | Stoic ships it to 4M users; r/TalkTherapy users keep dedicated “session preparation” docs by hand. The therapist accuracy objection (“how do I know the summary is accurate?”) is answered by verbatim, dated quotes. A recurring, high-stakes pay trigger. | Stoic · r/TalkTherapy · Quora |
| Mood + correlations + 30-sec check-in | Daylio (20M+) wins on “capture your day without writing a single word”; the low-friction loop hits ~40% D30 vs ~3% for heavy journals — the retention on-ramp. | Daylio · RevenueCat 2026 |
| Themes view | Rosebud’s weekly report already ships “Key themes” + “Cast of Characters”; Exist shows “what you write about most” — direct validation of the topics/relationships view. | Rosebud KB · Exist |
| On-This-Day / resurfacing | Day One ships it free — described as “one of the strongest cheap retention loops in the category.” | Day One feature threads |
| Future-Self (letter to who you’re becoming) | Among Day One’s top requests: “letters locked until a future date — write to myself 5 years from now.” | Day One feature requests |
| Wrapped · Year (shareable card) | Rosebud raised $6M partly on its “Wrapped”/archetype reveal that converts; Daylio’s Year in Pixels is explicitly built to share. Knole’s fast-cadence shareable reveal is open whitespace. | Bessemer · Daylio |
| Voice journaling | Daylio’s single most-requested missing feature is voice memos; “zero-friction capture — voice, 2 minutes, mobile-first” is the #1 stated want across ~20 threads. | r/Daylio · thread synthesis |
| Import (ChatGPT / old journals) | People already paste years of journals into ChatGPT/Claude by hand (see the Pattern-Mirror row). No competitor offers native import — Knole whitespace. | HN / Reddit behaviour |
| Export · trash · recoverable-from-chain | “I just lost almost 3 years’ worth of data” is the category’s deepest scar; Day One’s “I’ve never lost any data” is its identity. Durability is trust for journalers. | Daylio · Day One threads |