Context you save once and carry into any AI.
Memory that fills itself, with audited sharing.
AI Context Flow, from Plurality Technologies, lets you save briefs, files and chosen chats into memory spaces, pull them into ChatGPT, Claude, Gemini, Perplexity or Grok, and reach them from any MCP client. Kemory captures your chats automatically across six AIs and puts consent and a hash-chained audit trail around everything you share.
Last verified 7 November 2026 against primary sources
Two good answers.
Different jobs.
- You want a curated library of context that you deliberately save and inject, with one-click prompt optimisation.
- You want a browser sidebar with 30+ models that answers about any page and saves what matters.
- You want a free plan that already includes the MCP server, and low annual prices.
- You want chats in ChatGPT, Claude, Gemini, Perplexity, Manus and Grok captured in the background, with history import.
- You need sharing across organisations with accept-to-receive, credited contributions and an audit entry for every cross-organisation read.
- You want residency in India or Switzerland, enterprise self-host or air-gap, and a published, caveated benchmark.
See each one
doing its job.
Screenshots taken 7 November 2026. AI Context Flow 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.
*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.
The same job,
done two ways.
AI Context Flow pairs your memory with an in-browser sidebar that runs 30+ models on any website and optimises prompts in one click. Sharing a space is as simple as sending a link, viewers need no account, and the free plan already includes Memory Studio, the extension and the MCP server.
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.
| Product | Benchmark | Score | What it measures | Setup | Reader model | Runs |
|---|---|---|---|---|---|---|
| Kemory | LongMemEval‑S | 89.6% | End-to-end answer accuracy | 500 questions, oracle split | Llama-3.3-70B (open-weight) | Six, with variance |
| AI Context Flow | None published | — | — | — | — | — |
What changed at AI Context Flow
Products move quickly. These are the dated changes this comparison has been checked against.
- April 2026MCP setup guides refreshed for ChatGPT, Claude, Cursor, Windsurf, GitHub Copilot and others.
- 14 October 2026Chrome extension v1.16.2.
- By 7 November 2026Three plans: Free, Plus ($99 a year) and Pro ($199 a year); personal access tokens on paid plans.
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.
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.
Every memory is permissioned and every change is provable. We do not train on your data. Delete anything, and prove it is gone.
Compaction runs on an open-weight model, so the frontier model only ever sees the compacted version — not the pile.
Already using AI Context Flow? You do not have to replace it to try Kemory. Kemory connects to the AIs you use over MCP and Kora for Chrome.
Choosing AI Context Flow instead?
Good — it fits you better right now.
Come back to Kemory when cross-AI, governed memory is what you need.
Five questions,
Kemory vs AI Context Flow.
- What is the difference between Kemory and AI Context Flow?
- AI Context Flow is a library of context you save into spaces and inject into any AI, with an MCP server for agents. Kemory captures your AI chats automatically, recalls them in any AI over MCP, and adds governed, audited sharing across organisations.
- Does AI Context Flow capture my chats automatically?
- It lets you save conversations and context from the extension, Memory Studio or MCP. Automatic background capture of every chat is not documented as of 7 November 2026. Kemory’s Kora captures chats in the background on six AIs.
- How are AI Context Flow and Kemory priced?
- AI Context Flow is free with 200 credits a day and 50 MB; Plus is $99 a year ($10 monthly) with 500 MB, and Pro is $199 a year ($20 monthly) with 5 GB and premium models. 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 (10-seat minimum).
- Can I share memory with a colleague?
- Yes, in both. AI Context Flow gives viewer or editor access to a space by link, revocable at any time. Kemory shares namespaces or chosen items across organisations: recipients accept to receive, their contributions are credited and every cross-organisation read is audited.
- How do the two handle privacy?
- AI Context Flow says your context is end-to-end encrypted and built on trusted execution environments; residency is not documented. Kemory strips credentials and private tags before storage, encrypts each user’s data at rest and keeps data in India for Indian users and in Switzerland otherwise.
More comparisons
Credit where it’s due. The real difference, either way.