CognitiveXCOGNITIVEX · INTEGRATION
Portable memory for ChatGPT.
Cross-tool ChatGPT memory that doesn't stay in ChatGPT. Remember a decision once, recall it from your assistant, your editor, and every other tool, because the memory is the model, not a feature of one app.
WHY CHATGPT MEMORY ISN'T ENOUGH
Your memory shouldn't live inside one chat window.
ChatGPT learned about your project, your writing voice, your team, the way you like answers structured. Then you opened Claude, or your code editor, or your own app, and it knew none of it. The context you built is real, but it's locked to one product.
That's the structural limit of an LLM. The pattern is query → model → response → forget. ChatGPT's memory feature softens the "forget" a little (short profile notes scoped to your account) but it is still a feature of that assistant, not a layer you own. Move tools and you start from zero.
CognitiveX builds the missing layer: a Large Cognition Model that closes the loop: query → living memory → reasoning → learning → evolution. The memory is hosted, structured, and portable, so ChatGPT becomes one of many tools drawing from the same mind instead of the only place that mind exists.
CHATGPT MEMORY VS. A PORTABLE LCM
Same conversation. Different scope.
ChatGPT's memory is good at what it does. CognitiveX does a different job: it makes memory an asset you carry between tools rather than a setting inside one.
| Capability | ChatGPT memory | CognitiveX (the LCM) |
|---|---|---|
| Scope | Locked to your ChatGPT account | Portable across any tool that can call a tool/API |
| Structure | Short, free-text profile notes | Typed: semantic, episodic, procedural, foundational |
| Retrieval | Implicit, model-decided | Explicit recall, queryable by depth (foundational / standard / deep) |
| Consolidation | Accumulates & can be pruned | Overnight dream consolidation + pattern & salience detection |
| Cross-agent recall | ChatGPT only | Claude, IDEs, your apps, ChatGPT, over MCP/HTTP |
| Model lock-in | Tied to OpenAI models | Model-agnostic: the memory survives a model swap |
Want the full side-by-side against every memory layer? See the comparison.
CONNECT CHATGPT TO YOUR MEMORY
Wire it up in a few minutes.
CognitiveX is a hosted memory with an HTTP API and an MCP endpoint. You expose two verbs to ChatGPT, recall and remember, and your assistant can read from and write to the same memory every other tool uses.
1 · Get an API key
Create a key from the platform. Storing memories is free; recall is metered in credits by depth (foundational 1 · standard 3 · deep 10).
2 · Add a memory tool to ChatGPT
In a custom GPT (or any ChatGPT surface that supports Actions / tools), register the CognitiveX API as a tool. A minimal recall call looks like this:
POST https://api.cognitivx.io/recall
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
{
"query": "what did we decide about the pricing page?",
"depth": "standard"
}3 · Let it write back
After a useful exchange, have ChatGPT call remember with a memory type so the fact is structured, not just logged:
POST https://api.cognitivx.io/remember
Authorization: Bearer YOUR_API_KEY
{
"content": "We ship the new pricing page Friday; keep PAYG copy.",
"memory_type": "episodic"
}That's the whole loop. The same key works from Claude, Cursor, your own backend, or the iCog app, so a memory written in ChatGPT is instantly recallable everywhere else. Full API and SDK reference is in the docs.
SEE IT WITHOUT WRITING CODE
iCog is the LCM you can just use.
If you'd rather feel the difference before integrating anything, iCog is the consumer app built directly on the LCM. Talk to it, and it remembers across sessions, consolidates overnight, reflects on what it knows, and surfaces patterns you didn't point out.
Because iCog and your ChatGPT integration share the same memory backbone, anything you tell iCog is recallable from ChatGPT, and vice versa. That's the portable-memory promise made concrete: one mind, many front doors. Looking for other front doors? Browse all integrations.
FAQ
Questions, answered.
Does this replace ChatGPT's built-in memory?
No. It sits alongside it. ChatGPT's memory is great inside ChatGPT. CognitiveX adds a portable layer of memory that is not trapped in one product, so the same facts and decisions are recallable from Claude, your IDE, your own apps, and ChatGPT-adjacent tools.
How does ChatGPT actually read from CognitiveX?
Through tools. In ChatGPT's developer/custom-GPT setup you point an Action or MCP-style tool at the CognitiveX HTTP API, exposing recall and remember. Anywhere ChatGPT can call a tool, it can call your memory.
Is my memory locked to one vendor's model?
That is the whole point: no. In the LCM the memory is the model. Swap GPT for Claude or Gemini and your accumulated context comes with you. The LLM is infrastructure; the cognition is yours.
What does ChatGPT remember versus what CognitiveX remembers?
ChatGPT stores short profile-style notes scoped to your ChatGPT account. CognitiveX stores structured, typed memory (semantic facts, episodic events, procedural how-tos, foundational identity) that consolidates overnight and is queryable by depth from any tool.
Give ChatGPT a memory that travels.
This is cognitive infrastructure, not another LLM wrapper. It makes every LLM, ChatGPT included, smarter.