Mycelia

One memory for all your AI

Own your memory once. Every AI app — ChatGPT, Claude, Perplexity, Cursor, your own agents — plugs into the same encrypted, portable graph.

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The problem

Every AI app has its own amnesiac, locked-in memory.

  • You re-explain yourself to ChatGPT, Claude, Perplexity, Cursor — every day.
  • Each tool’s memory is a silo: you can’t export it, inspect it, or move it.
  • New chat or new tool → context gone. Switching means starting over.
  • And you don’t own any of it. The vendor does.

A knowledge worker now juggles 5+ AI tools. None of them share what they know about you — and none of it is yours to take.

The solution

One memory you own that every AI plugs into.

  • A single encrypted knowledge graph of you — skills, projects, people, decisions.
  • Any AI connects via MCP and reads & writes the same graph.
  • A grafted, living UI: see your memory as a graph, edit it, share a slice.
  • Encrypted to you, owned by you — Walrus storage, Seal access, your Sui wallet. No lock-in.

The insight: memory should be a user-owned layer, not a per-app feature. MCP makes that layer pluggable into every AI tool that exists today.

Why now

Three shifts just made this possible.

01 · Standard
MCP
One integration reaches ChatGPT, Claude, Cursor & the agent ecosystem.
02 · Demand
Memory
Every vendor is shipping AI memory — and every one is a silo.
03 · Rails
Walrus + Seal
User-owned, encrypted, shareable data is finally practical on a fast L1.

The window: own the cross-app memory layer before each vendor locks users into theirs.

Market

A credible path to $100M+ without owning the whole market.

TAM
$100B+
AI software + knowledge management [est.]
SAM
$X B
AI memory / context + personal knowledge for AI users [est.]
SOM
$Y M
Multi-tool prosumers & devs already on MCP clients [est.]

Bottom-up: [N]M people use 2+ AI tools today × $[price]/yr. Start where MCP adoption is highest — developers and power users — then expand to teams and orgs.

Product

The graph, the connector, the rails.

The grafted graph

A living visualizer of your memory. Add memories, watch it grow, share or sell a slice. “Shared with you” shows what others granted.

The connector (MCP)

Drop your key into any MCP client; that AI now remembers & recalls against your one graph. Write in an agent → see it in the web, same account.

The rails (on-chain)

Each memory encrypted & stored on Walrus; one mutable pointer per account on Sui; access governed by an on-chain policy.

Live demo: /graph · marketplace at /market

Traction

A working product, live on Sui — end to end.

  • Cross-app memory proven: remember in an MCP agent → it appears in the web app, same account, decrypted.
  • Unified encrypted Walrus store — no DB, no browser storage; a full account graph read back on-chain.
  • Sharing to an address, a knowledge marketplace (talk-to-GPT + buy-to-unlock), and a “Shared with me” view — all functional.

[target] design partners: [list] · waitlist: [N] · first 3rd-party MCP integrations: [date]

Business model

$[X]/mo for unlimited, portable, owned AI memory.

  • Freemium — personal memory free; pay for capacity, teams, and rich sharing.
  • Marketplace take rate — a cut of knowledge sold/unlocked between users.
  • Storage pass-through + premium — Walrus at cost, margin on features.
  • Enterprise (later) — shared org memory with on-chain access control + audit.
Competition

The only memory that’s owned and cross-app.

Siloed & vendor-owned
Owned & portable
Single-app
ChatGPT / Claude memory
AI-native & cross-app
Notion / Mem / Rewind*
Mycelia

*PKM tools store notes but aren’t AI plumbing, aren’t cross-app, and aren’t user-owned/encrypted. The default — per-app memory — is exactly the lock-in users are starting to resent.

Team

Built the full stack, end to end.

[Founder 1] — CEO

[Relevant background: AI / crypto / product]

[Founder 2] — CTO

[Relevant background: Sui/Move, distributed systems, ML]

We built the full on-chain memory stack — Sui + Walrus + Seal + MCP — end to end. We’re the team to own this layer.

The ask

Raising $[X] [pre-seed / seed].

~50%
Product
More MCP clients, the grafted UI, mainnet.
~30%
Go-to-market
Developers & prosumers; the marketplace.
~20%
Operations
[12–18] months runway.

Milestones: [N] live AI-tool integrations · [M] active memories on-chain · mainnet launch · [K] design partners.

Vision

The memory layer of the AI era.

Your context, owned by you, working in every model and every app — portable across a world of AI tools, and the foundation for an economy of shareable knowledge.

Mycelia — one memory for all your AI.

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