Direct answer

Add Memory to Claude

To add memory to Claude that outlives one project or one chat, connect Claude to the Zambo MCP at https://zambo.dev/mcp and save facts deliberately with memory_remember. Claude recalls them later with memory_recall, and so does every other AI on the same account: a fact saved from Claude on Monday is recallable in ChatGPT, Cursor, and Grok on Tuesday. That cross-client payoff is the reason to store memory outside Claude instead of inside it.

See the record layer first: follow a day of work at zambo.dev/today and check any receipt free at the public verifier. The account behind those records is the same account that holds the facts you save.

Updated October 20, 2026.

Why memory inside Claude stays inside Claude

Claude is where a lot of careful work happens: long documents, patient reasoning, drafts that go through five rounds. Its own context tools are good inside their borders. A project holds its material together while you stay in that project, and a chat holds its thread while you stay in that chat. Step outside either border, into a fresh chat, a different client, or a different AI entirely, and the knowledge you built up stays behind, waiting in a place your next session cannot reach.

That is the wall everyone searching for a way to add memory to Claude is actually hitting. It is rarely that Claude forgets inside a conversation. It is that life does not happen inside one conversation. The brief lives in Claude, the build lives in Cursor, the quick public check happens in ChatGPT or Grok, and each surface starts ignorant of the others. Memory has to live one level up, on your account, connected to all of them at once.

The Zambo route, step by step

Zambo, the verifiable work layer for AI, exposes its memory tools through one MCP endpoint that Claude can connect to directly. Open the MCP or connectors settings in Claude, add a custom connector, and paste https://zambo.dev/mcp as the server URL. There is no API key to create or paste. Start a new chat, confirm the Zambo tools are available, and only then start saving facts you care about.

Save in plain sentences and on purpose. Tell Claude: remember that our house style is plain English, short sentences, prices always stated with what they include, and ask it to call memory_remember. The fact is stored on your Zambo account. Next week, in a brand new Claude chat, ask what the house style is and have Claude call memory_recall. The answer comes from the store, not from anything in that chat, which is exactly the behaviour you want to verify before you rely on it.

Nothing enters this store by accident. Zambo memory holds only facts you explicitly save; it does not import your Claude chats or projects. That restraint is the feature: the store stays small, readable, and worth trusting, because every line in it was put there on purpose by you.

The cross-client payoff

Here is the part no single-app memory can copy. Save a client fact from Claude: their review day, their tone, the decision they made last month. Then open ChatGPT to draft the follow-up, connected to the same Zambo account, and recall the fact there. Open Cursor to make the change the client asked for, and recall it again. Ask Grok a quick question that depends on it, same store, same fact. One save, four working contexts, zero retyping.

Continuity works the same way for work state, not just facts. Save where a job stands in one AI, open another AI connected to the same account, and continue there with the saved state in hand. People describe this as the AIs finally sharing a desk instead of working in separate rooms. The practical effect is simpler and bigger: you stop being the courier who carries context between your own tools, re-explaining the project at every door.

Add memory to Claude through an API setup

Developers searching for an API route usually run Claude through an agent or a pipeline and want that program to remember users and jobs between runs. Connect the program to https://zambo.dev/mcp as its tool provider, call memory_remember when a durable fact appears, and call memory_recall at the start of a run so the session begins informed. The endpoint and the account model are identical to the chat setup; only the caller changes.

Keep two disciplines in an API setup. Save facts, not transcripts, because a store full of pasted conversations recalls badly and costs context on every run. And scope your recalls: pull the facts for this user and this job, not the entire store. Zambo provides the portable storage and the receipts for saved results; your orchestration provides the judgement. Teams that skip the judgement end up with a memory their agent technically has and practically cannot use.

The best way, and the free way, to add memory

The best way to add memory to Claude is the way that survives Claude: explicit facts, on your own account, outside any single app, recalled on demand in whichever AI the work moves to next. The free way to prove it works is to connect the MCP, save three facts, and recall one of them from a different AI the same day. That test costs nothing to set up, and checking a receipt is free at https://zambo.dev/verify/.

Once the loop is part of your week, a Day Pass at $0.99 covers 24 hours of full access to solve the memory problem properly, and the Zambo Pass at $29 a month, $290 a year, or $19 a month for $ZAMBO holders keeps it in place. Humans pay by PayPal or card through PayPal; agents pay USDC on Base through x402. The honest framing: the pass is not tool access, it is the end of re-briefing every AI from scratch.

What to save, and what never to save

Save: house style and voice rules, client preferences and review habits, decisions with a five word reason, project names, roles, and current status, and any format you produce more than twice.

Date it: prices, deadlines, and anything that expires. A recalled fact with its save date attached can be judged for freshness at a glance.

Never save: passwords, keys, card numbers, ID numbers, or private details about other people. If you would not paste it into a chat, do not store it as memory.

Saved work also carries proof. When a result is saved through Zambo tools, it gets a verifiable receipt that anyone can check free at https://zambo.dev/verify/: the check confirms the saved result was not changed after the fact. It does not prove the content was right, and this page will not pretend otherwise. Memory quality is your editorial job. The receipt simply makes the record of what was saved checkable by anyone you share it with.

Deleting and correcting your memory

Ask a connected AI to recall your stored facts, read the list, and prune it like you would prune a notebook: correct the facts that drifted, remove the ones about finished projects and former clients, and tighten any sentence that got vague. Do it when a project closes and when anything about your prices or process changes. Because Claude, ChatGPT, Cursor, and Grok all read the same store, one cleanup fixes what every AI will recall tomorrow morning.

Keep the layers straight while you clean. Removing a Zambo fact does not erase anything inside a Claude project, and deleting a Claude chat does not touch the Zambo store: they are separate systems with separate controls. That separation is what makes the portable layer manageable. One store, one review habit, every client covered, instead of four partial memories in four apps each needing its own spring clean.

Honest limits

Three limits, plainly. First, Zambo memory is explicit: it holds only facts you save, and it will not learn silently from your Claude chats, so unsaved facts are simply absent later. Second, recall happens when a connected AI calls memory_recall, so ask for recall at the start of a session, or build that call into your API agent first step. Third, the store reflects your upkeep: keep it current, or a confident recall of a stale price will do more harm than an honest blank.

Frequently asked questions

How do I add memory to Claude?

Connect Claude to the Zambo MCP and save facts deliberately. Open the MCP or connectors settings in Claude, add a custom connector, and paste https://zambo.dev/mcp as the server URL, with no API key. In a chat, state a durable fact in one sentence and ask Claude to save it with memory_remember. Later, in any chat, ask Claude to recall it with memory_recall. Because the fact sits on your Zambo account, the same recall works in ChatGPT, Cursor, and Grok connected to that account.

Can ChatGPT recall a fact I saved from Claude?

Yes. That is the cross-client payoff of storing memory outside any single AI. Connect ChatGPT to the same endpoint, https://zambo.dev/mcp, on the same Zambo account. A fact saved from Claude with memory_remember is then available to ChatGPT through memory_recall, and the same holds for Cursor and Grok. The fact never lived inside Claude; Claude was just the door you used to save it. One store, one account, every connected AI reading from it.

What should I save in Claude memory, and what should I never save?

Save facts that stay true and get reused: house style, client preferences and review habits, decisions and their reasons, project status, and formats you produce repeatedly. Add a date to anything that expires, like a price or a deadline. Never save passwords, API keys, payment card numbers, government ID numbers, or private details about other people. Memory is a working store for facts that help the next session, not a place for secrets, and one sentence per fact keeps recall clean.

Does Zambo import my Claude chats or projects?

No. Zambo memory holds only facts you explicitly save with memory_remember. It does not import chats, does not copy projects, and does not infer facts in the background. That restraint is deliberate: an imported history would bury the few facts you actually reuse under thousands of lines you do not. You choose what earns a place in the store, you can review the whole store on request, and you can correct or remove any fact the same way you saved it.

How much does it cost to add memory to Claude this way?

Connecting the MCP and running a save and recall test costs nothing to set up, and checking a receipt is free at https://zambo.dev/verify/ with no signup. For $0.99, a Day Pass covers 24 hours of full access, enough to build your store in Claude and recall it from your other AIs in one working day. Ongoing use is the Zambo Pass at $29 a month or $290 a year, and $19 a month for $ZAMBO holders. Humans pay by PayPal or card through PayPal; agents pay USDC on Base through x402.

Related