Both give an AI agent long-term memory. The real difference is what it takes to get there — Mem0 is a toolkit you wire up (a cloud API, or a self-hosted stack of databases); Supabrain you install and connect over MCP in minutes.
Both can end up as memory for the agent you code with. Getting there is the whole story: with Mem0 you pick the cloud (hosted, metered) or you stand up and maintain a stack of databases. Supabrain is the appliance — installed, connected, central across your tools, in minutes.
A powerful developer library. To use it as memory for your own coding agent you choose: the cloud MCP (data hosted, billed per memory) or self-host — running Qdrant + Neo4j + Ollama yourself.
Flexible and composable, but it’s infrastructure you wire up and operate. There are step-by-step tutorials just to stand it up against Claude Code.
Install the app, connect it to Claude Code, Cursor, or any MCP client, and your AI work memory is live in minutes — no databases to run, no keys to juggle.
One central memory for all your AI work, local and private by default. Your decisions, fixes, and ruled-out dead ends — recalled in every tool you use.
Compared on what it actually takes to give your own coding agent a memory.
| Capability | Supabrain | Mem0 |
|---|---|---|
| Setup for your agent | Minutesdownload app, connect MCP, done | Cloud MCP, or self-hoststand up Qdrant + Neo4j + Ollama, wire an MCP server |
| Infra you operate | None | A stackvector DB + graph DB + embeddings server (self-host) |
| Local & private | By defaultstorage, embeddings & search on your machine | Only if self-hostedmanaged platform is cloud |
| Pricing | Flatsolo free · team ~$25 pp/mo · no meter | Meteredfree 10k mem · $19 → $249/mo by memories & retrievals |
| Central across tools/models | One brainany MCP client; switch tools, memory follows | Per integration |
| What gets stored | Validated conclusionschecked on the way in, incl. dead ends | Facts from chatextracted & merged from conversation |
| Retrieval | Hybridkeyword (FTS) + semantic | Vector-centric |
| Agent ledger | Built inun-skippable, tamper-evident action record | No |
| Best fit | Your own AI work memory | Memory inside a product you ship |
No Qdrant, no Neo4j, no Ollama, no glue code. The whole setup is a download and one MCP connection — then your agent remembers.
Every MCP tool shares the same memory. Move from Cursor to Claude Code, swap models, change machines — it follows you. (Cursor pulled its own Memories feature in late 2025; portable beats per-vendor.)
Storage, embeddings, and search are local by default. No cloud round-trip, no third-party store — your codebase decisions stay yours.
Metered memory taxes the one thing you most want to do — remember everything. Local cost is ~zero, so Supabrain is flat and unlimited. No usage anxiety.
It stores validated findings — what was true, what was a dead end — so your agent reasons from results, not from re-surfaced raw chat.
The agent ledger keeps an un-skippable, tamper-evident record of actions, captured at the harness. Memory is voluntary; the ledger is not.
Counter-positioning cuts both ways. Mem0 is excellent at a job Supabrain doesn’t do:
Those are builder problems, and Mem0 is built for them. Supabrain is for the developer who just wants their own work memory — plugged in and central, not a system to operate.
Competitor pricing and features as publicly listed, June 2026. Plans change — verify current terms on the vendor’s site. Supabrain team figures are launch pricing for early access.
If you’re using Mem0 to give the agent you personally code with a memory — yes, and a far simpler one. Mem0’s own MCP for that is cloud-only, or a self-hosted stack of databases (Qdrant + Neo4j + Ollama). Supabrain installs and connects over MCP in minutes, local and private. Mem0 is still the better pick if you’re embedding memory into a product you ship for your users.
Supabrain is local-first — storage, embeddings, and search run on your machine, and nothing leaves unless you turn on sync. Mem0’s managed platform is cloud-hosted by default, though it also ships an open-source library you can self-host.
No. Most memory tools extract facts from raw conversation turns. Supabrain stores validated work conclusions — structured findings checked on the way in, including ruled-out hypotheses — so your agent recalls what was true and what was a trap.
Yes. Supabrain is MCP-native, so it works in any MCP client — Claude Code, Cursor, and others — on any machine. Switch tools or models and your memory comes with you.
Install it, connect MCP, and your AI work memory is live in minutes — local, private, and central across every tool you use. Join the beta for an invite.
✓ Not a concept. We run our entire operations on Supabrain — every day, 2,000+ memories and counting.
Be first in when invites open. No spam — just your invite and the occasional build update.