
MemoryRouter
Cursor Memories
Continio
EVA Online AI
knowbase.ai
Memori
LLM OneStop
MemoryBase captures your AI conversations across ChatGPT, Claude, Claude Code, Cursor, and Gemini conversations and turns them into a unified, searchable memory you can use across all your tools.

Mem0
LedgerMind
SAME (Stateless Agent Memory Engine)
Hacker Noon
Contextify
Klee
cognee
One memory, every AI tool. A persistent memory API for AI agents: write a preference or lesson once, recall it from Claude, Cursor, ChatGPT, or any HTTP client.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | memorybase.app | mnemoverse.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 1 - 9 employees · 2025 | Startup from Portugal · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


MemoryBase is a cross-platform memory layer for people who use multiple AI tools daily. It syncs your conversations across ChatGPT, Claude, Claude Code, Cursor, and Gemini, so whatever you tell one AI is available to all the others. Conversations get captured automatically as they happen,...
Mnemoverse is a persistent memory API for AI agents. One API key gives an agent the same memory across Claude Code, Cursor, VS Code, ChatGPT, and any MCP client: write a preference or lesson once, and recall it anywhere. It is not a vector database. Mnemoverse scores importance when a memory is...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing MemoryBase.app and Mnemoverse.
Mnemoverse's answer:
Mnemoverse is a memory API, not a vector database. It scores importance when a memory is written, strengthens the associations between concepts that get recalled together, and re-ranks recall from outcome feedback, so memory improves with use instead of staying static. One API key gives the same memory to Claude Code, Cursor, VS Code, ChatGPT, and any MCP client.
Mnemoverse's answer:
You add persistent memory to the AI tools you already use with a single key and nothing to host. Most alternatives are either a vector store you wire into each app or a framework you build an agent in. Mnemoverse is a drop-in memory layer that learns from outcomes and works across tools out of the box, with an open-source MCP server and Python SDK and a free tier.
Mnemoverse's answer:
Developers and teams building with AI agents and assistants who want persistent, cross-tool memory without standing up their own memory infrastructure.
Mnemoverse's answer:
Mnemoverse began with a simple frustration: AI assistants forget everything between sessions and between tools, so people re-explain context over and over. The team built a memory layer modeled on how human memory works, importance, association, and reinforcement from outcomes, and exposed it over the Model Context Protocol so any tool can share one memory. Its research foundation, the SLoD framework, is published on arXiv.
Mnemoverse's answer:
Python and FastAPI on the backend, PostgreSQL with pgvector, HDBSCAN for clustering, sentence-transformers for embeddings, a TypeScript MCP server (npm), and a REST API. Tool integration is through the Model Context Protocol (MCP).
Share your experience with using MemoryBase.app and Mnemoverse. For example, how are they different and which one is better?
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