Supermemory vs Mem0: which AI memory layer fits your stack?

Supermemory and Mem0 look alike from a distance: both are open-source memory layers with a free tier, a hosted MCP server and plugins for the main coding agents. Up close they differ in what they store, how they bill and where they can run. Here is the side-by-side, and how to pick.

We build OctaMem, a third option, and include it at the end so you can see where it differs. Every Supermemory and Mem0 fact below comes from their own sites, docs, pricing pages or GitHub repositories, checked on 12 October 2026.

The short answer

• Choose Mem0 for the largest open-source community, request-based pricing that is easy to forecast, and broad framework integrations.
• Choose Supermemory if you want user memory and document retrieval (RAG) from one vendor, or vendor-supported self-hosting without an enterprise contract.

Side by side

Checked on both vendors' own sites on 12 October 2026.

What they store

Mem0 extracts memories from conversations automatically. Its research page describes a single-pass, ADD-only extraction step and retrieval that fuses semantic, keyword and entity signals, with temporal reasoning and memory decay. Graph memory (entity linking) and consolidation are Pro-tier features.

Supermemory builds a memory graph per user, with profiles and fact hierarchies, and sells document retrieval alongside it as SuperRAG, which can also be mounted as a filesystem. If your agent needs to remember users and search a document corpus, Supermemory covers both; with Mem0 you would typically pair it with a separate RAG stack.

What it costs

The two bill in different units, which makes headline prices misleading. Mem0 counts requests: the $19 Starter tier includes 50,000 adds and 5,000 retrievals a month, and the $249 Pro tier 500,000 adds and 50,000 retrievals. Supermemory gives each plan a monthly credit balance ($20 of credits on the $19 Pro plan, $600 on the $399 Scale plan) and spends it by rate card:

On Mem0, retrievals are the tighter cap: a tenth of the adds on both Starter and Pro. On Supermemory, cost depends on the mix of tokens ingested, queries run and operations. Model a month of your real traffic on both. Our AI memory cost guide covers the pricing models and the line items that appear at scale.

Where it runs

Both are open source. Mem0's open-source server runs with Docker Compose at no licence cost, and Mem0 offers on-prem deployment on its Enterprise tier. Supermemory ships a local binary for development, offers a self-hosted option from the $399/mo Scale tier, and air-gapped deployment on Enterprise. If you are happy to run open source yourself, Mem0's server is the cheaper start; if you want self-hosting as part of a paid vendor plan without an enterprise contract, Supermemory's Scale tier is the lower bar.

MCP and coding agents

Both run official hosted MCP servers. Supermemory's uses OAuth sign-in, so no API key goes into your client config; Mem0's uses a Platform API key. Both cover the main coding agents: Supermemory has plugins for Claude Code, Codex, Cursor and OpenCode, and Mem0 has a Claude Code plugin plus Cursor and Codex integrations. If coding-agent memory is the main use, see our guide to MCP memory servers for what to check.

Benchmarks: read the footnotes

The two vendors dispute each other's numbers. Supermemory reports 97% Recall@20 on LongMemEval-S with GPT-4o, and separately 85.2% with Gemini 3 Pro and 84.6% with GPT-5. Mem0's comparison page cites Supermemory's 85.2%, and Supermemory says that is the wrong run to compare against. Mem0 reports 92.5 on LoCoMo and 94.4 on LongMemEval. Supermemory claims first place on LoCoMo without publishing a number it can link to yet.

Different models, judges and metrics (Recall@20 is not answer accuracy) mean none of these can be ranked against each other. Run your own questions on both. Our benchmarks explainer explains what each benchmark measures.

When to choose each

Where OctaMem fits

OctaMem, which we build, takes a different approach from both: instead of extracting memories automatically, it stores semantic, episodic and procedural memory as explicit typed records with provenance. A changed fact is kept and marked superseded rather than stored twice, and deletion propagates to anything derived from the source. It has a hosted MCP server, an official Claude Code and Codex plugin, and Python and JavaScript SDKs.

The trade-offs: there is no free tier (plans start at $49/mo), it is not open source, self-hosting is Enterprise-only, and our SOC 2 Type II and ISO 27001 audits are in progress. It fits teams that need auditable memory more than a free start. For the wider field, see Mem0 alternatives and the 13-platform enterprise comparison.

Frequently asked questions