Local-First AI Memory: Where Your Data Lives with MemoryCode and MCP

In short: MemoryCode is a local-first system: your Identity and Cognitive Chips live in browser localStorage during normal use. No account is required, and your narrative memory is not uploaded to MemoryCode servers under typical browsing. MCP Connect runs @memorycode/mcp-server on your computer so Claude, Cursor, Windsurf, and similar clients can read an exported snapshot from a file you control. That is a different boundary from vendors that store long-lived memory in the cloud — where prompts and summaries may be processed on their infrastructure.

MemoryCode is a local-first AI cognitive layer: one place to configure who you are (Identity) and how you want AI to behave right now (Cognitive Chip), with QuickCopy (paste anywhere) or MCP (automatic loading in supported apps). If you are comparing local AI memory vs Claude or ChatGPT cloud features, this article maps the lines clearly.

Setup hub: For MCP steps across clients, see the MCP setup manual and guides for Cursor, Windsurf, Claude Desktop, LM Studio, and OpenClaw. For the full privacy policy, see /en/privacy.

Does Claude or ChatGPT store my conversations in the cloud?

Yes — for the product you are chatting in. When you use Claude.ai, ChatGPT, or similar, your messages are sent to the vendor so the model can answer. Their memory or custom instructions features may persist summaries or preferences on their systems according to their policies. That is not the same as MemoryCode’s browser-local profile.

MemoryCode does not replace the vendor’s infrastructure: it gives you a portable block (via QuickCopy or MCP) that you attach to the session. Whether the host app logs or retains that block is governed by that app — MemoryCode focuses on where the source of truth for your profile lives before export: your device, in localStorage, under normal use.

What stays on my device with MemoryCode?

Under normal use of the MemoryCode web app:

Identity fields, chip selections, and related preferences are stored in localStorage in your browser.
That data is not sent to MemoryCode as a “sync my life story” upload path in the default product narrative — the design goal is you own the file, you export when you want MCP, you paste when you want QuickCopy.

When you choose MCP Connect, you typically export a memorycode-mcp.json (or equivalent) to a path on disk and point @memorycode/mcp-server at that file. The MCP server process runs locally (for example via npx -y @memorycode/mcp-server --file …). Your AI client then calls that local process — it does not pull your chip library from a MemoryCode “cloud vault” during ordinary operation.

If you use QuickCopy: you copy a text block and paste it into Claude Projects, Cursor rules, ChatGPT custom instructions, or elsewhere. Only what you paste enters that vendor’s flow — the canonical editable profile remains in MemoryCode’s local model until you change it.

What are the boundaries of “local-first” when MCP is involved?

MCP does not magically keep the entire chat offline. It means: the bridge that supplies your MemoryCode-shaped identity+chip runs locally and reads your export file.

Boundaries to keep in mind:

The model provider still receives whatever you send in the conversation once you are chatting in Claude, Cursor, etc.
Telemetry and product analytics on the AI client side are governed by that client’s vendor — not by MemoryCode.
Your exported JSON on disk is your responsibility — backup, encryption at rest, and file permissions are your ops surface.

So “local-first” here means: MemoryCode is not the system of record in the cloud for your chip library; you are, on device. For a step-by-step install, use the MCP setup manual.

Does MemoryCode need an account?

No. You can build a profile and use QuickCopy or export for MCP without signing up for MemoryCode (see also QuickCopy vs MCP for when each path fits).

Q: If I don’t have an account, where is my data?
A: In your browser’s local storage for the MemoryCode origin you used, unless you clear site data or use a different browser profile. That is why export/backup matters if you rely on a long-refined identity — treat important exports like any other local file you care about.

How does this compare to vendor “memory” features?

Vendor features (e.g., saved memory in a chat product) optimize for convenience inside that product. MemoryCode optimizes for one profile that can feed many tools via copy or local MCP, with chips that swap behavior without rewriting your whole life story each time. For the two-layer idea, read what is a Cognitive Chip.

When should I choose QuickCopy vs MCP from a privacy mindset?

Choose QuickCopy when you want minimal moving parts: no Node, no local server — only text you explicitly paste.
Choose MCP when you want zero daily paste in supported clients and accept running a local Node process that reads your export file.

Both patterns keep the authoring of Identity + Chip inside MemoryCode’s local-first app model; they differ in automation vs simplicity. See /en/docs/cursor or /en/docs/claude for concrete configs.

Key takeaways

MemoryCode is local-first by design: profile data in localStorage during normal web use; no account required for core flows.
MCP runs @memorycode/mcp-server locally; it reads your exported file — it is not a cloud sync of your chip library in the default story.
Cloud AI apps still process conversation content according to their policies; MemoryCode clarifies what you inject and where you edited it.
For trust details and legal wording, always cross-check /en/privacy.