Versuno
Verified Oct 15, 2026 ActiveBuilds an open-source, Postgres-based memory engine that gives AI agents relational, vector, and graph retrieval.
Listed on EffectHub ·
Pricing
- Pricing model
- 100% Free
The open-source engine is free under Apache-2.0; a paid hosted cloud version is planned but has no published price yet.
Use tool ↗About Versuno
Versuno builds memory and context infrastructure for AI agents. Its main project, memloom, is a local-first memory engine that runs on a single Postgres database and supports relational, vector, keyword, and graph retrieval instead of requiring a separate database for each. It runs fully local through PGLite or scales to a hosted Postgres instance, and is released under the Apache-2.0 license so it can be self-hosted at no cost. A public API and documentation are already live for developers who want to integrate it directly. A hosted cloud offering is planned but not yet priced or launched. The company was co-founded by Kostiantyn Sytnyk and Mateusz Kowalski.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Memory engine architecture, retrieval types, licensing, and API availabilityversuno.ai ↗
- Co-founder names and company descriptionversuno.ai ↗
Is Versuno legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Jul 27, 2025 (1 year ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Let's Encrypt, valid until Nov 18, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- Operated by
- VersunoOur research, card verified Sep 1, 2026
Pros & cons of Versuno
Versuno's memloom collapses relational, vector, keyword, and graph retrieval into one Postgres engine instead of requiring a developer to wire together several specialized databases for an AI agent's memory. Being open source and Apache-2.0 licensed makes it low-risk to try today, but the hosted cloud version that would make it easier to run in production is not out yet.
Pros
- Combines four retrieval types (relational, vector, keyword, graph) in one Postgres engine instead of separate systems
- Apache-2.0 open source license means no cost and no vendor lock-in to try it
- Public API and documentation are already live, not just a roadmap promise
Cons
- The hosted cloud version is not yet available, so production use today means self-hosting and operating it
- No pricing exists yet for whenever the hosted version does ship
- A young project without a long operating track record
Best for
- Developers building AI agents who want one database instead of stitching together a vector store, a graph database, and Postgres separately
- Teams already comfortable running and operating Postgres who want to avoid extra infrastructure
Not for
- Teams wanting a fully managed hosted service today rather than self-hosting
- Non-technical users — this is developer infrastructure, not an end-user product
Watch out: Because the hosted cloud tier has not launched, anyone who cannot self-host Postgres does not yet have a way to use memloom in production.
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