Basic Memory vs Mem0
A knowledge base you can read versus a memory API developers build on. Both are good at what they do. They solve different problems for different people.
A knowledge base you can read versus a memory API developers build on. Both are good at what they do. They solve different problems for different people.
Basic Memory is a knowledge base for you: every memory is a plain Markdown file you can open, edit, and take anywhere, connected over MCP to Claude, ChatGPT, Cursor, and any MCP client. Mem0 is memory infrastructure for developers: a managed API (add() / search()) that apps build on, where neither you nor your users can see what is stored. If you want your AI tools to share one memory you own, use Basic Memory. If you are building an app that needs memory as a managed backend service, Mem0 is built for that.
| Basic Memory | Mem0 | |
|---|---|---|
| What it is | Knowledge base for you and your AI tools | Memory API for developers |
| You can read what is stored | Yes. Plain Markdown files | No. Opaque by design |
| Primary interface | Files + knowledge graph over MCP | REST/SDK API |
| Open source | Yes, full app (AGPL-3.0) | Partially |
| Runs fully local | Yes. SQLite + local embeddings, no API keys | No. Managed service (OSS core available) |
| Data portability | Copy the folder; works in any editor | Export through the API |
| Funding model | Bootstrapped | $24M VC |
| Pricing | Free local; Cloud from $15/seat/month | Free tier; usage-based and enterprise pricing |
Mem0 extracts atomic facts from conversations and stores them in a managed backend. That design makes pinpoint fact recall fast and precise, and it gives app developers a clean integration: send conversation data in, query memories out. It is genuinely good infrastructure, with a large developer community.
Basic Memory keeps full notes instead of extracted fragments. Every memory is a Markdown file with semantic links to other notes, forming a knowledge graph. You and your AI read and write the same files. Open the folder and you see exactly what your AI knows, including the reasoning trail, not just the conclusions.
The trade-off is real and measurable. On the LoCoMo academic benchmark, Basic Memory is strongest at multi-hop retrieval (84.1% Recall@5). Questions that connect facts across conversations, which is what a graph is for. While atomic-fact systems like Mem0 are strong at single-hop recall. Our full benchmark suite, including the unflattering parts, is public and reproducible at basic-memory-benchmarks. Note that retrieval metrics (ours) and LLM-as-judge scores (most published Mem0 numbers, e.g. 66.9–68.5% on LoCoMo) measure different things and are not directly comparable.
With Mem0, memory belongs to the application. End users of an app built on Mem0 have no way to see, edit, or export what is remembered about them. That is a deliberate design choice for the developer-infrastructure use case, not a flaw.
With Basic Memory, memory belongs to the person (or team) it describes. If Basic Memory disappeared tomorrow, you would still have a folder of readable Markdown that works in Obsidian, VS Code, or any text editor. Plain text has outlasted every proprietary format in computing history.
Open source to run locally. Cloud from $15/seat/month with a 7-day trial.