Both deal in AI memory, but they answer different questions. Supermemory is a fast, benchmark-leading memory engine and API you embed into a product to give your users recall. Supabrain is a finished, plug-and-play tool that gives the agent you code with a local, central memory.
Supermemory is excellent at being the memory layer inside someone else's product: an API, SDKs, connectors, per-user profiles, token billing. Supabrain isn't infrastructure — it's the appliance for one developer's own AI work, installed and central in minutes.
A fast, benchmark-leading memory engine and API — "the Memory API for the AI era." Cloud-first by default (hosted API, OAuth/API key, per-token metered billing), with a hosted MCP server and an optional local single-binary mode.
The real product is infrastructure you embed in your own app to give your users recall: sign up, get an API key, install an SDK, write integration code, and manage token spend.
Install the app, connect it to Claude Code, Cursor, or any MCP client, and your AI work memory is live in minutes — no API keys to manage, no integration code, no token meter.
One central memory for your own AI work, local and private by default. Your decisions, fixes, and ruled-out dead ends — recalled in every tool you use.
Compared on the job of giving your own coding agent a memory — not on building a product for your users.
| Capability | Supabrain | Supermemory |
|---|---|---|
| What it is | A finished toolwork memory for your own agent | A memory platform / APIinfra to embed in your product |
| Default posture | Local-firstby design; sync is opt-in | Cloud-firsthosted API by default; local binary optional |
| Setup for your agent | Minutesinstall app, connect MCP, done | App / MCP quick; real use = integratesign up, API key, SDK, write code, manage tokens |
| Pricing | Flatsolo free · team ~$25 pp/mo · no meter | Subscription + meteredFree → Enterprise plus per-token API rates |
| MCP cross-client | Yesany MCP client; memory follows you | Yeshosted MCP server, shares across clients |
| Connectors & ingestion | Focusedcoding work, captured via MCP | RichSlack/Notion/Gmail/Drive/GitHub/S3/web + multimodal |
| Retrieval at scale | Hybridkeyword (FTS) + semantic | Benchmark-leading#1 LongMemEval/LoCoMo/ConvoMem, sub-300ms |
| What gets stored | Validated conclusionschecked on the way in, incl. dead ends | General-purpose memorygraph + user profiles, broad content |
| Agent ledger | Built inun-skippable, tamper-evident action record | No |
| Best fit | Your own AI work memory | Memory inside a product you ship |
No API key, no SDK, no integration code, no token budget to babysit. Install the app and connect one MCP endpoint — then your agent remembers. The product is done; you just use it.
Storage, embeddings, and search run on your machine by default. Supermemory offers a local binary too, but its default posture is a hosted, metered cloud — Supabrain's default is your laptop.
Per-token metering taxes the one thing you most want to do — remember everything. Local cost is ~zero, so Supabrain is flat and unlimited. No usage anxiety, no token math.
Supermemory is general-purpose memory infrastructure. Supabrain stores validated findings — what was true, what was a dead end — an opinionated model tuned for how a coding agent reasons.
Every MCP tool shares the same memory. Move from Cursor to Claude Code, swap models, change machines — it follows you, with no per-end-user wiring to manage.
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. Supermemory is genuinely excellent at jobs Supabrain doesn't do:
Those are builder and platform problems, and Supermemory is built for them. Supabrain is for the developer who just wants their own work memory — plugged in and central, not a service to integrate and meter.
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.
It depends on the job. Supermemory is a memory API and engine you embed into a product you ship, to give your own users recall. Supabrain is a finished, plug-and-play tool that gives the coding agent you personally use a memory — install the app, connect over MCP, done. If you want work memory for your own agent rather than infrastructure to integrate and meter, Supabrain is the simpler fit. If you're building memory into a product for your users, Supermemory is built for that.
Yes, and we won't pretend otherwise. Supermemory ships a local single-binary mode and a hosted MCP server that shares context across MCP clients. The honest difference is default posture and buyer: Supermemory is cloud-first and metered by default, sold as infrastructure to embed in your product; Supabrain is local-first by design, sold as a finished tool for your own coding agent.
By default, yes — Supabrain is local-first, so storage, embeddings, and search run on your machine, and nothing leaves unless you turn on sync. Supermemory's default is a hosted cloud API with per-token billing, though it also offers a local binary you can run yourself.
No. 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. It's an opinionated memory model for coding work, not a general-purpose ingestion engine.
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. No API keys, no token meter. 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.