Kemory vs Supermemory

A fast memory API.
A governed memory across your AIs.

Supermemory is a memory and context engine for developers, with user profiles, hybrid search, connectors and plugins for coding agents. Kemory captures supported AI chats in the background, lets you continue a conversation in another AI and makes permissions and audit the default on every plan.

Last verified 7 November 2026 against primary sources

The verdict

Two good answers.
Different jobs.

Choose Supermemory if…
  • You are building an agent or app and want a well-documented memory API with profiles, hybrid search and connectors.
  • You live in Claude Code, Cursor or Codex and want a ready-made open-source plugin.
  • You want to prototype on a local binary and move to the hosted platform by changing the base URL.
Choose Kemory if…
  • You want chats on ChatGPT, Claude, Gemini, Perplexity, Manus and Grok captured in the background, with history import.
  • You need permissions, consent and an audit trail on every plan rather than on a top tier.
  • You want to continue a conversation in another AI, use Counsel, or share memory across organisations.
Ideal for

See each one
doing its job.

Public homepage, captured 7 November 2026.
Supermemory is ideal for
Developers who want a memory API with connectors.
Hybrid searchUser profilesCoding-agent plugins
Kemory Sharing: invitations you accept, two-way shares, resharing rules and stop sharing.
Kemory is ideal for
Governed memory on every plan, across your AIs.
Deny-by-defaultCross-org sharingBackground capture

Screenshots taken 7 November 2026. Supermemory is a trademark of its owner, shown here to identify the product.

At a glance

The same rows on every comparison, so you can read one page against another.

Feature
This siteKora + Kemory
Supermemory
Capture
Kora, an AI chief of staff, included
Yes
—
Pulls in your AI chats automatically
Yes(6 AIs)
Via plugins
Keeps whole chats and distilled memories
Yes
Memories
Keeps chat artefacts — files, code, images
Yes
Documents
Use
Native in Claude and ChatGPT (MCP connector)
Yes
Yes(custom)
Protocols
MCP · REST · CLI · SDK
MCP · API · SDK
Ask across everything, with sources
Yes
Search API
Continue a chat in another AI
Yes
—
Counsel — many models, one answer
Yes
—
WhatsApp
Yes(Coming Soon)
—
Builds a model of you
Yes
Partial
Share & govern
Two-way memory sharing between people
Yes(across orgs)
Org seats
Fine-grained memory permissions
Yes
Per-tag
Audit trail and provenance
Yes
Ent. logs
Shows contradictions, lets you resolve them
Yes
—
Privacy & trust
Private by default — private tags, secrets stripped
Yes
—
Delete and prove it's gone
Yes(crypto-shred)
—
Data residency on every plan
Yes(India · Switzerland)
Enterprise
Measured token savings
Yes
—
Version history and restore
Yes
—
Openness
You hold the keys (community edition only)
Yes
Partial
Integrated with SeKondBrain's Cognition Layer
Yes(Coming Soon)
—
Open-source
Yes(community)
Yes(MIT plugins)
Proof & price
Published benchmark
89.6% LongMemEval-S*
Retrieval metric
Pricing shape
Free to start
Free; Pro $19/mo

*89.6% end-to-end answer accuracy on LongMemEval-S, open-weight Llama-3.3-70B reader, six runs. See the benchmarks or the full method on docs.sekondbrain.ai. A dash means not documented, not proven absent.

Where they differ

The same job,
done two ways.

Getting chats in
SupermemoryPlugins and MCP save what the AI chooses
KemoryKora for Chrome captures six AIs in the background, with history import
What it keeps
SupermemoryDistilled memories, documents for RAG and user profiles
KemoryWhole chats, distilled memories and chat artefacts
Governance
SupermemoryPer-tag access on Scale and Enterprise; Enterprise request logs
KemoryGatekeeper, just-in-time consent and hash-chained audit on every plan
Where Supermemory is ahead
Credit where it’s due.

Supermemory's developer experience is strong: clear docs, SDKs, a large plugin catalogue and a local binary on the same API. Its connectors cover Drive, Gmail, Notion, OneDrive and GitHub, and SOC 2 Type II and a HIPAA BAA are documented for eligible plans.

Benchmarks

The numbers,
and how each was run.

These rows use different datasets, splits, readers and retrieval budgets, so they cannot be compared directly. We publish the method, every run including the lower ones, and use an open-weight reader rather than a frontier model.

ProductBenchmarkScoreWhat it measuresSetupReader modelRuns
KemoryLongMemEval‑S89.6%End-to-end answer accuracy500 questions, oracle splitLlama-3.3-70B (open-weight)Six, with variance
SupermemoryLongMemEval-S97%Recall@20 with aggregation (retrieval), self-reportedNot statedGPT-4o judgeNot stated
SupermemoryLongMemEval-S (README)95%Recall@15 (retrieval), self-reportedNot statedNot statedNot stated
Read the Kemory benchmark on docs.sekondbrain.aiSupermemory’s published figuresOther products’ figures are their own, self-reported, and not re-run by us.

What changed at Supermemory

Products move quickly. These are the dated changes this comparison has been checked against.

  1. 9 September 2026Consumer app Nova and the company-brain product discontinued, with refunds; focus moves to the memory API. MCP and plugins continue.
The bigger picture

Specialists do one job well.
Kemory holds the thread across them all.

Every year brings better models and you will keep trying them. Kemory sits above the models rather than inside any one of them, so what you have worked out goes with you.

01
One memory every AI shares.

Tell one AI something once, and every AI you use just knows it. Start a thought in one and carry on in another, mid-sentence.

02
Permissioned, auditable AI memory.

Every memory is permissioned and every change is provable. We do not train on your data. Delete anything, and prove it is gone.

03
Save tokens and time.

Compaction runs on an open-weight model, so the frontier model only ever sees the compacted version — not the pile.

Already using Supermemory? You do not have to replace it to try Kemory. Kemory connects to the AIs you use over MCP and Kora for Chrome.

Your call

Choosing Supermemory instead?
Good — it fits you better right now.

Come back to Kemory when cross-AI, governed memory is what you need.

Questions

Five questions,
Kemory vs Supermemory.

What is the difference between Kemory and Supermemory?
Supermemory is a memory API, MCP server and plugins for agents you build or use. Kemory adds background capture of your AI chats, continuation in another AI and permissioned sharing between people, with governance on every plan.
Does Supermemory still offer Nova or a Chrome extension?
Supermemory discontinued Nova and its company-brain product on 9 September 2026, and its Chrome extension served Nova. Its MCP server and plugins continue.
Can I self-host Supermemory?
Yes, as a local binary or Docker image, free within a 10,000-document lite licence; dedicated and air-gapped deployments are on Enterprise. Kemory offers enterprise self-host, your own cloud or air-gap, and an Apache 2.0 Community Edition is coming.
How is Supermemory priced compared with Kemory?
Supermemory is free with $5 of credits, then Pro at $19 a month, Max at $100 and Scale at $399 with unlimited seats, all on usage-based credits; Enterprise is custom. Kemory is free for 2,000 memories and two AIs, with Pro at $19.99 a month, Team at $30 a seat and Business at $55 a seat.
Is Supermemory's 97% higher than Kemory's 89.6%?
They measure different things. Supermemory's 97% is Recall@20 on LongMemEval-S: whether the evidence was retrieved. Kemory's 89.6% is end-to-end answer accuracy, whether the final answer was right, on the LongMemEval-S oracle split with a Llama-3.3-70B reader across six runs.

More comparisons

Credit where it’s due. The real difference, either way.

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Compared against Supermemory as of 7 November 2026. Products change — tell us if we’re wrong.Sources:Supermemory README and docsAn update to supermemoryPricingResearch: LongMemEvalChatGPT MCP setup
Cite this comparisonKemory vs Supermemory. SeKondBrain. Last verified 7 November 2026. https://sekondbrain.ai/products/kemory/compare/supermemory