CognitiveXCOGNITIVEX · SUPERMEMORY ALTERNATIVE
The Supermemory alternative: CognitiveX
Supermemory and CognitiveX share a price band and a promise: give your AI memory that survives the session. The difference is what happens after you store. One recalls. The other consolidates.
SHORT ANSWER
Storage hands it back. Cognition makes it better.
If you're evaluating Supermemory, you've already decided that stateless prompts aren't enough: your agent needs to remember across sessions. That's the right call. The next question is whether you want a memory store or a memory model.
Supermemory is a fast, developer-friendly memory API: ingest documents and conversations, embed them, and retrieve relevant chunks on demand. It does that job well, and for a lot of products retrieval is the whole requirement. CognitiveX starts from the same point and adds a layer most memory tools skip. It does not just keep what you stored, it reorganizes it over time. Recurring events become durable facts. Salient memories stay sharp; stale ones decay. The memory is the model, and the model gets better while you sleep.
We build this as the Large Cognition Model (LCM): not another LLM wrapper, but the cognitive infrastructure underneath one. An LLM does query → model → response → forget. The LCM closes the loop: query → living memory → reasoning → learning → evolution.
SIDE BY SIDE
Supermemory vs CognitiveX
An honest read. Where Supermemory is strong, we say so. The rows that matter most are the ones about what happens to a memory after it lands.
| Capability | Supermemory | CognitiveX |
|---|---|---|
| Cross-session recall | vector retrieval | |
| Four-tier memory model | flat store | semantic · episodic · procedural · foundational |
| Overnight dream consolidation | compress + synthesize | |
| Episodic → semantic promotion | ||
| Salience weighting + decay | ||
| Pattern detection across memories | ||
| Reflection / introspection | mood, traits, narrative | |
| MCP-native, LLM-swappable | API + SDK | hosted MCP server |
| Open recall (no enterprise gate) | self-host is enterprise | every paid tier |
| Entry price | ~$20/mo band | $20/mo · 500k credits |
Where Supermemory product details vary by plan, we describe the published consumer posture, not a fixed quote. Check their current pricing before you decide.
WHAT YOU ACTUALLY GET
Three things a store can't do.
- Four memory tiers, not one bucket. Facts (semantic), events (episodic), how-tos (procedural), and identity (foundational) are stored and recalled differently, because a preference you stated once and a value you live by aren't the same kind of memory.
- Dream consolidation while you're away. Overnight, CognitiveX compresses redundant memories, synthesizes relationships between them, and promotes the patterns that recur into durable facts. You wake up to a sharper memory, not just a bigger one.
- Salience, decay, and cross-agent recall. Important memories stay weighted; stale ones fade. And because recall runs over MCP, more than one agent can draw on the same living memory, so your Claude session and your iCog app see the same mind.
BE HONEST WITH YOURSELF
Supermemory is fine, until it isn't.
Pick Supermemory when retrieval is the whole job: you want to drop documents and chat history into a memory API and pull back relevant chunks, fast, with a clean SDK. If your agent never needs to learn what a user keeps doing (only recall what they once said), a storage layer meets the requirement, and you should use one.
Pick CognitiveX when the memory should get smarter on its own: when repeated behavior should become a known preference, when stale context should fade instead of polluting recall, and when you want a memory that reflects, detects patterns, and consolidates without you writing that pipeline yourself. That's the line between a store and a cognition model, and it's the line we built the LCM on.
Want the full grid against every memory tool, not just Supermemory? See the complete comparison and the alternatives overview. Pricing details live on the pricing page.
FAQ
Questions before you switch.
Is CognitiveX a drop-in Supermemory alternative?
Close. Both expose memory over an API you can call from any agent or app, and CognitiveX is MCP-native. Point a Claude, Cursor, or custom client at api.cognitivx.io and it reads and writes memory through the same tool surface you already use. The LLM behind it stays swappable; CognitiveX is the cognition layer, not a model wrapper.
What does CognitiveX do that a store-and-recall layer doesn't?
It learns. A storage layer writes what you told it and hands it back on a vector match. CognitiveX runs overnight dream consolidation that promotes recurring episodic events into semantic facts, weights memories by salience, and decays stale ones, so the memory model changes with behavior instead of only growing.
Can I self-host without an enterprise contract?
CognitiveX is hosted-first and open over MCP at every paid tier; recall is not gated behind an enterprise plan. If self-hosting is a hard requirement, that's a conversation, but the day-one path is to get an API key, point your client at the MCP server, and start remembering.
How is the pricing different?
Both sit in the same consumer-friendly band. CognitiveX Awakened is $20/mo ($199/yr) for 500k recall credits and 1M memories. There's a free Amnesiac tier (100 recall credits/mo, 1k memories), a $200/mo Conscious tier with 15M credits and unlimited memories, and metered pay-as-you-go. Storing memories is always free; you only spend credits on recall.
Do I lose my LLM choice?
No. CognitiveX treats the LLM as infrastructure; the intelligence lives in the memory architecture, routing, and consolidation. Swap the model and you change prose quality, not system behavior.
NEXT STEP
Give your agent a memory that learns.
Same price band as Supermemory. A memory model instead of a memory store. Point a client at the MCP server and start remembering. The LLM stays yours to choose.