Mem0
Mem
Pieces for Developers
Mengram
OpenMemory
Memori
cognee
ai second brain for all your saved stuff

Mem0
Memori
Memorr.ai
MemorySync.io
Shared AI memory for you and your team. Save notes, decisions and docs once — every teammate's Claude, ChatGPT or Cursor remembers them. Works over MCP or the API inside your own product.

Which is more popular?
Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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Supermemory
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| Website | supermemory.ai | memocore.ai |
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In their own words, as submitted to SaaSHub.

No description of Supermemory yet.
Every AI chat starts from zero. You re-explain your project again and again, and your teammates' AI knows nothing of what you've already decided. Memocore is shared memory for you and your team. Notes, decisions, conventions, product docs — saved once, then read and updated by every teammate's...
What each product offers, as listed by its team.

No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
No analysis of Memocore yet.
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Supermemory and Memocore.
Memocore's answer:
Memocore is shared memory for teams, not just for one agent. A teammate saves a note, decision or doc once, and every colleague's AI (Claude, ChatGPT, Cursor, VS Code or any MCP client) can read and update it. Projects have access control per member and a full history of who changed what. The same memory can power your own chatbots via the REST API.
Memocore's answer:
Most memory tools (Mem0, Zep, Supermemory) are SDKs for developers building agents. Memocore works out of the box: add one MCP endpoint to the AI client you already use, create a project, invite your team. No code required. And when you do need it, there's an API for your own product
Memocore's answer:
Small and mid-sized teams that work with AI every day: developers, product teams, founders, HR and support. Anyone tired of re-explaining the same context to AI, or of documentation that goes stale.
Memocore's answer:
I was tired of AI forgetting everything, and of team docs going stale: technical notes in the repo, business notes in Google Docs, never up to date. So I built a memory that AI agents maintain themselves. Agents save decisions and architecture as they work and update them on every commit, and anyone on the team can pull the answer in seconds, even from their phone. I use it daily myself, for everything from research to grocery lists.
Share your experience with using Supermemory and Memocore. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / 2 months ago
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 3 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 5 months ago
Tracking Memocore since Sep 2026.
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