Secure.
Simple.
Seamless.
Smart.


Trust you can check.
Most products ask you to trust a privacy policy. MyPenny posts a public, tamper-evident record of every time your memory is unlocked — so trust isn't something we ask for. It's something you can verify.
Why each of you cares: Engineers — read the Merkle-log proofs, not the marketing. Professionals — client context encrypted, every access logged with a reason. Parents — every read of your family's data is on a record you can check. Students — real encryption, and a 30-day undo on every deletion.
Encrypted at rest, with a key unique to you

No cross-account leaks

A public, tamper-evident access log
Every decryption of your memory writes a record to an append-only public log, hosted on a different cloud than your data. See every access in your dashboard, each with a reference you can verify yourself.

No private back-channel
Nothing is ever silently gone
Secrets never make it in
No raw chat logs
Nothing is captured behind your back
Set it up in one conversation. Then forget it's there.
No dashboards to configure, no prompt engineering, no manual. The first time you use MyPenny, your AI offers to set it up — a handful of questions, one short snippet to paste into your AI app, done.
From then on it keeps notes for you, silently. You never say "remember this" — it captures the decisions and preferences worth keeping as you work, and recall happens on its own. Set a preference once and every connected tool inherits it.
The a-ha most people report: you tell one AI something, open a completely different one, and it already knows.
Why each of you cares: Professionals — your role and active projects captured once, carried into every session. Engineers — standards-based connect, approve once, no config files. Parents — setup is a conversation, and you decide exactly what goes in. Students — paste one snippet and never re-brief your AI again.

Up and running in four steps
Connect once
Just talk
Recall everywhere
It gets sharper
03 · Seamless
One memory. Every tool.
Already there when you open the next one.
Open your coding tool tomorrow morning and it already knows what you were building yesterday, or switch tools mid-project and the full context is just there. Like magic.
MyPenny doesn't live inside one chatbot. It lives at the connection layer between you and all of them — so the same memory rides along everywhere, and you stop copy-pasting context between tools for good.
Your coding subconscious. The Claude Code, Cursor and Codex plugins inject your preferences and the project's accumulated memory at the start of every session — the project recognized automatically from your repo, zero configuration. Yesterday's decisions are simply present before you type a word.
Why each of you cares: Engineers — one standard endpoint, project memory keyed off your git remote. Professionals — how you work is present in every tool without rebuilding it. Students — context built in one app follows you to the next, even when your school changes platforms. Parents — one account, any AI the family uses.
One connection, every AI
MyPenny speaks an open standard — the Model Context Protocol — so it works across Claude, ChatGPT, Perplexity, Cursor, Codex, and Claude Code, and any tool that adopts MCP next. No per-app plug-ins.
Richer while you're away
When a session ends, its secret-scrubbed transcript feeds background processing that distills what was learned into that projects living memory for next time.
Disconnect or leave when you want
Cut off any tools access from one dashboard. Your memory lives in your account, not inside your AI tools. Read, edit, delete when you want, and export is just a click away.
Import isn't a one-way-street
Plenty of products can pull your memory in (easy in but hard to get out). Yours leaves as easily as it arrives: read, edit, and delete from your dashboard, and even export. Leaving is a feature.

Memory that thinks before it answers.
An AI is only as good as what it can find. MyPenny's whole job is to surface the right thing at the right moment — even when you ask imperfectly. It searches by meaning and by exact words at once, follows a knowledge graph built from how you actually work, and consolidates everything in the background so your memory gets cleaner over time, not noisier.
The a-ha: it finds the note even though you phrased the question completely differently — and it reviewed last night's conversation while you slept, keeping only what was actually new.
Why each of you cares: Engineers — a documented, ablation-tested retrieval stack; every decision is in the source. Professionals — never re-introduce yourself to your own assistant. Parents — the essentials stay present, never buried under months of history. Students — duplicate insights merge into one clean record instead of noise.
Your AI now finds the right memory even if you phrase a question completely differently. Penny reviewed last nights conversation while you slept, keep only what was actually new.
A short, always-on set of core memories rides in every conversation; everything else lives in a deep notes archive, pulled in only when relevant. the essentials make it feel like it already knows you. The archive means nothing useful is ever out of reach.
Every query runs semantic and keyword search at once, then fuses the results — so you never lose a note because you phrased the question differently than you wrote it.
After you work, background processing decides what's genuinely new versus already known, writes only what matters, then merges duplicates and resolves contradictions so memory stays clean.
Results are scored by a single transparent, ablation-tested formula — relevance, graph proximity, recency, and the importance you've signaled — so the right note wins even when it isn't the newest.
Structured trackers (habits, metrics, goals) and recurring rhythms (check-ins, reviews) add accountability over time — not just notes and memories. Penny can even manage your to-do list.

Why a dedicated memory layer?
| Feature | Built-in chatbot memory | MyPenny |
|---|---|---|
| Works across different AI tools | No | Yes |
| Take it with you when you switch tools | No | Yes |
| Encrypted at rest with a per-user key | No | Yes |
| A public log of every access | No | Yes |
| You choose which tools can read it | No | Yes |
| See and edit exactly what's stored | Limited | Yes |
| Recall by meaning, keyword, and relationships | Basic | Yes |
| Same memory in your coding tools | No | Yes |
| Improves itself in the background | No | Yes |
| Keeps a history — never silently overwritten | No | Yes |
| 30-day undo on every deletion | No | Yes |
| Trackers for habits, metrics, and goals | No | Yes |
| Strips out secrets before storing | No | Yes |
| Doesn't keep your raw chat logs | No | Yes |
| Memory leaves as easily as it arrives | No | Yes |
| Public, tamper-evident access log | No | Yes |
Honest answers
Is my memory end-to-end encrypted?
Which AI tools does it work with?
Can I export or delete my data?
Do you use my memory to train models?
Does MyPenny store my passwords or API keys?
Do you keep my chat logs?
Is MyPenny open source?
One price. Everything included.
| Feature | Most popular Founding member $49/ year | Standard $99/ year |
|---|---|---|
| Everything included | Included | Included |
| MCP-capable AI tools | All supported tools | All supported tools |
| Public access log | Included | Included |
| Export | On request today | On request today |
| Free trial | 14 days, no card | 14 days, no card |
| Rate lock | Locked for life | Standard annual rate |
- Everything included
- Included
- MCP-capable AI tools
- All supported tools
- Public access log
- Included
- Export
- On request today
- Free trial
- 14 days, no card
- Rate lock
- Locked for life
- Everything included
- Included
- MCP-capable AI tools
- All supported tools
- Public access log
- Included
- Export
- On request today
- Free trial
- 14 days, no card
- Rate lock
- Standard annual rate