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Synap vs Mem.ai

Finding notes is not the same as knowing things.

Mem.ai pioneered self-organizing note-taking. It's great at surfacing relevant documents when you need them. But a document is still a document. In Synap, every piece of information becomes a typed record in a graph you own.

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Synap and Mem.ai, side by side

Synap compared with Mem.ai
TopicMem.aiSynap
Data modelDocuments — no entity modelTyped records with properties and relations
HostingSaaS only — no self-hostingA dedicated pod you own, or self-host
ModelsIts own model choiceAny agent you connect
ExportLimited exportStandard PostgreSQL; pg_dump when self-hosted
ChangesApplied directlyProposals you review

Structuring on capture is part of Pod + AI (€100/month). On the Pod plan (€20/month), the agent you connect does the structuring through Synap's tools. Either way, changes arrive as proposals you review.

Where Mem.ai is strong

  • Surfaces relevant notes
  • Fast capture and search

Where they differ

Documents vs. records

Mem.ai stores everything as documents. A meeting note is a document. A contact is a document. A project brief is a document. They can be found, but relationships between them can't be reasoned about, because they have no structure beyond text.

In Synap, every piece of information is a typed record with properties and relationships. A contact has an email, a company, and deals. A meeting note links to attendees, and action items become tasks. That is the difference between search and knowledge.

Choose your model

Mem.ai decides which model does the work. If it falls behind, you have no recourse. Synap works with the agent you connect — Claude, ChatGPT, Le Chat, Cursor, Claude Code and other MCP clients — so you can switch per task.

Changes you can trust

When Mem.ai organizes something, it just happens; you may not notice a miscategorization for weeks. In Synap, consequential changes are proposals: the agent suggests, you approve or reject. Full history, full control.

Data sovereignty

Mem.ai is pure SaaS. Your data lives on its servers, under its terms. If it shuts down, pivots, or gets acquired, your knowledge is at risk. Synap runs on a dedicated pod — a real PostgreSQL database you control. Self-host it, export it, or let us run it for you. Your knowledge stays yours.

Common questions

How is Synap different from Mem.ai?

Both organize knowledge for you, but they differ on data ownership and model choice. Mem.ai stores your data in its cloud on shared infrastructure. Synap gives each user a dedicated server (a Data Pod) with PostgreSQL, and works with whichever agent you connect — Claude, ChatGPT, Le Chat and others — while Mem.ai is tied to its own system.

Is Synap's organization better than Mem.ai's?

Synap uses a structured model: every capture is classified into a typed record (a note, task, contact, deal and so on) with properties and relationships. Mem.ai uses smart search over unstructured notes. Synap's approach gives you queryable, structured knowledge rather than search over flat text.

Can I export my Mem.ai data to Synap?

Export your Mem.ai notes as Markdown or plain text. An agent connected to your pod, such as Claude Code, can read those files and write them into Synap as typed records, with links and properties. Each write arrives as a proposal you review, so nothing lands in your pod unseen.

Can I review what gets changed in Synap?

Yes. Consequential changes in Synap go through proposals: the agent proposes, you approve or reject. Every change is recorded in an append-only event chain, so you can always see what changed and why.

Ready for knowledge with structure?

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