Supermemory vs CogmemAi: Choosing an Ai Memory Layer (2026)
Supermemory and CogmemAi both promise to be the memory engine your Ai is missing. They share a goal, durable recall across sessions, and aim at slightly different users. Here is a fair comparison to help you choose.
Side by side
| Capability | CogmemAi | Supermemory |
|---|---|---|
| Long-term memory benchmark | Highest published LongMemEval score, 95.10%, plus 91% on LoCoMo (above human baseline) | Emphasizes speed and broad integration |
| Primary interface | MCP server (35 tools), zero-install remote endpoint, REST API, Chrome extension | Universal memory API |
| Works with | Claude, ChatGPT, Gemini, and any MCP-compatible tool (Claude Code, Cursor, Windsurf, Cline) | API integration into your app or Ai stack |
| Deployment | Cloud-hosted, zero-config local (private), or hybrid | Cloud-hosted API |
| Privacy | Local mode keeps memory on your own machine; quantum-safe at-rest encryption | Cloud data controls |
| Teams and compliance | Shared team memory, per-tenant isolation, mandatory rules in every response | Team and platform features |
| Free tier | Yes | Free and paid tiers |
Recall quality
Many memory tools claim quality; few publish it on the hardest test. CogmemAi was tuned and measured against LongMemEval, scoring 95.10%, the highest published result, plus 91% on LoCoMo, above the human baseline. If you are choosing on proven recall accuracy, that published figure is the clearest signal available.
API-first vs tool-native
Supermemory leads with a universal memory API, which is appealing when you are adding memory to your own application in code. CogmemAi is tool-native: as an MCP server with 35 tools it drops straight into Claude Code, Cursor, Windsurf, and any MCP-compatible tool, and it also offers a REST API and a remote endpoint when you want to call it directly. If you live in those Ai tools, CogmemAi works without extra integration; if you are wiring memory into a custom app, both expose APIs.
Deployment and privacy
CogmemAi runs cloud-hosted, in a zero-config local mode that keeps memory on your own machine, or hybrid, with quantum-safe at-rest encryption. For regulated or privacy-sensitive work, recall never has to leave your environment.
When Supermemory might be the better fit
Honest answer: if your main need is a simple, fast, universal memory API to add to an app, and that is the whole job, Supermemory is a clean, capable choice. CogmemAi leans toward teams that want proven recall accuracy, private or hybrid deployment, and memory that works across the Ai tools they already use.
Try CogmemAi free
CogmemAi has a free tier, so you can add persistent memory to your Ai today and judge the recall quality for yourself.
Frequently asked questions
- Is CogmemAi better than Supermemory?
- Both are Ai memory layers. CogmemAi holds the highest published LongMemEval score (95.10%), runs cloud or fully local, and works across Claude, ChatGPT, and any MCP tool. Supermemory leads with a universal memory API. Choose CogmemAi for proven recall accuracy and private, cross-tool memory; choose Supermemory if a lightweight memory API is your main need.
- What is the highest published LongMemEval score?
- 95.10%, achieved by CogmemAi. LongMemEval is the field’s hardest long-term-memory benchmark.
- Does CogmemAi offer an API?
- Yes. CogmemAi offers a REST API and a zero-install remote endpoint, in addition to its MCP server and Chrome extension.
- Can CogmemAi run locally and privately?
- Yes. CogmemAi has a zero-config local mode, so memory stays on your own machine, with quantum-safe at-rest encryption.
- Is there a free version of CogmemAi?
- Yes. CogmemAi has a free tier; start at no cost and upgrade only if you need higher limits.