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Market/Categories/Developer & AI Platform/Versuno AI

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Versuno AIversuno.ai

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformversuno.aiTracked since 2026-08-191 discovery source
101Backlinks
37Referring domains
9Domain authority
+185%Referring domains · 90 days

Authority & distribution

How strong is Versuno AI’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

101Current snapshot

Referring domains

37Current snapshot

Authority

9Domain authority · category median 22

90-day move

+185%Referring domains, last 90 days
At 9, Versuno AI sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 337 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

AI referral visibility

Which AI assistants are already sending Versuno AI traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Versuno AI is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Versuno AI”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://versuno.ai/?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Versuno AI.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Versuno AI do and what problem does it solve?

Versuno AI builds memory and context infrastructure for AI agents. It solves the problem of managing conflicting memories by surfacing contradictions for human review instead of overwriting, and it uses a single Postgres database for relational, vector, keyword, and graph retrieval. The core product is the open-source memloom engine.

Who is the target audience for Versuno AI?

The target audience is developers and teams building AI agents. It is positioned as an infrastructure or API product for AI systems, serving the developer and AI platform category.

What features or components does Versuno AI offer?

Versuno AI offers the memloom open-source memory engine, which is Apache-2.0 licensed, written in TypeScript, and runs on Postgres. Key features include conflict resolution for human review, and a single Postgres engine for relational, vector, keyword, and graph retrieval. A hosted version, memloom cloud, is coming soon.

How is Versuno AI priced or packaged?

The core memloom engine is open-source (Apache-2.0) and can be run locally. A paid, hosted version called memloom cloud is coming soon, run by Versuno. Users on the Versuno platform already have access to app.versuno.ai.

What is Versuno AI used for, and in what situations?

Versuno AI is used by developers to provide persistent memory and context for AI agents. It is used in situations where an AI agent needs to recall past interactions, maintain consistency, and resolve contradictory information, such as in conversational AI or long-running AI systems.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Versuno AI intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 337.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured