NOAN vs Mitosis Labs
Mitosis Labs and NOAN attack the same failure, AI that guesses, from opposite ends. Mitosis builds a memory engine over what already exists: your emails, chats, and documents become a queryable knowledge graph, so AI can recall what actually happened. NOAN builds a fact layer of what the company has approved as true: verified, versioned facts that agents, apps, and your website read over one API. Choose Mitosis to make AI accurate about your past. Choose NOAN to make AI act on your approved present. Some teams will genuinely want both: recall from one, authority from the other.
Side by side
Competitor claims last verified 26 August 2026| Dimension | NOAN | Mitosis Labs |
|---|---|---|
| What it is | The company brain and API: verified facts, tasks, contacts, notes, and assets behind one REST endpoint | A memory engine that converts emails, chats, docs, and app data into a queryable knowledge graph for AI |
| Source of truth | Approved, versioned facts with an owner; one source of truth for the whole company | Your data exhaust as it happened; answers cite the original message or document |
| Verification | Facts enter through a verify gate: a human approves before anything reads it as true | No approval step; accuracy comes from grounding in source records, not from human sign-off |
| API | Plain REST plus MCP, bearer keys, unlimited API keys on every plan | Public REST API, MCP server, and CLI for agents to query the memory |
| Agents | Built for agents: facts to ground on, a task board to control them, any model | Agents query memory for context; no task board or control plane for dispatching agent work |
| Auditability | Every fact versioned with full history and Time Travel; every agent action lands on the task board | Answers show their source; the memory itself mirrors your communication history |
| Pricing model | Whole-workspace plans from $99/month; unlimited keys, no per-agent or per-task metering | Waitlist onboarding at time of writing; no public self-serve pricing published |
| Lock-in | Facts are plain text behind a REST API; one GET exports everything | Sources remain in your original tools; the derived graph lives in Mitosis |
When to choose Mitosis Labs
- You want AI to recall what was said and agreed across a large history of email, chat, and documents without curating anything
- Your pain is hallucinated answers about past events, not ungoverned facts
- You want per-answer citations back to the original message or file
When to choose NOAN
- You need agents to act on approved truth: prices, policies, positioning that a human signed off
- You want the brain to also run the work: task board, contacts, and assets in the same API
- You want your website and apps reading the same facts your agents do, so one change updates everything
The deeper comparison
Derived memory and declared truth are different data
Everything Mitosis knows is derived: it watched your email, chats, and documents, and built a graph of what happened. That makes it superb at questions with a historical answer, what did we agree, who said what, where is that file. But a derived record can only ever be as authoritative as its sources, and sources disagree. The April email says $2,400, the June call said $2,600, and the memory engine faithfully holds both.
NOAN's data is declared: someone with authority wrote down the truth and approved it. The pricing fact is not an inference from your inbox, it is an assertion by your company, with an owner, a version history, and a list of everything reading it. When an agent quotes it to a customer, nobody has to hope the retrieval picked the right email.
This is why the two products can coexist without stepping on each other. Memory answers questions. Facts authorize actions. An agent stack that does both needs to know which one it is consulting at any moment, and an API boundary makes that explicit.
What each one costs you
Mitosis onboards through a waitlist at the time of writing and publishes no self-serve pricing, so a direct dollar comparison is not possible. The structural comparison still holds: a memory engine's cost scales with the volume of history it ingests and the questions you ask of it, while NOAN's plans are flat per workspace, from $99 a month with unlimited API keys, because a curated fact base does not grow with your inbox.
The larger cost in either direction is architectural. Betting on memory alone means every agent action carries retrieval risk. Betting on facts alone means questions about your history go unanswered. Teams with real stakes usually conclude the brain needs a governed core, and that core is cheap to stand up: a NOAN workspace with twenty verified facts covers most of what agents assert in practice.
If you are choosing today
Start from the failure you are trying to prevent. If your AI invents answers about things that happened, that is a recall problem and Mitosis attacks it directly. If your agents might act on wrong prices, stale policies, or unapproved claims, that is a governance problem, and no amount of better retrieval fixes it, because the failure is not finding the data, it is trusting it.
The migration test is one afternoon either way: point Mitosis at your mail archive and ask it ten historical questions, or write your ten most load-bearing company facts into NOAN and point one agent at the API. Whichever exercise makes you exhale is the one your stack was missing.
Common questions
Is NOAN an alternative to Mitosis Labs?
For AI memory over your communication history, no; Mitosis is purpose-built for that. For a verified company brain that grounds agents, powers apps, and runs a task board, NOAN is the alternative. They overlap only at the point of keeping AI accurate, and they do it differently: recall versus verification.
What is the difference between AI memory and a fact layer?
Memory is derived from what happened: messages, meetings, documents. A fact layer is declared and approved: this is our price, this is our policy. Memory answers what did we say; facts answer what is true now. Agents that act on your behalf need the second kind, because acting on an old email is how mistakes ship.
Can I use Mitosis and NOAN together?
Yes, and the split is natural: Mitosis as recall over your history, NOAN as the approved truth agents act on and the task board that controls them. Both expose APIs and MCP, so one agent can read from each.
What is the best alternative to AI memory tools for agents?
If the goal is agents that act reliably, the alternative to memory is governance: a verified fact layer like NOAN where truth is approved before anything reads it. Memory tools answer what happened; a fact layer authorizes what an agent may assert. Many stacks run one of each.
Does NOAN ingest my email and documents like Mitosis does?
No, and deliberately. NOAN holds curated, approved facts rather than derived history. You write down what is true, someone approves it, and the API serves it. Ingestion-based memory is a different job, and a good one, but it cannot produce authority, only recall.
How do I ground Claude or GPT in verified company facts?
Give the model a NOAN API key and the OpenAPI spec at api.getnoan.com/openapi.json. One GET returns the approved facts for any block, and the answer the model gives carries the version and approver. Our Claude Code guide walks the whole setup in about fifteen minutes.
Sources: mitosislabs.ai · All comparisons
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