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Mem0 vs Versuno

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both — Mem0 has a free plan, Versuno is free to use
Public API
Both have one
Higher Trust score
Mem0 — 89 vs 75 for Versuno
Best fit
Mem0: Developers adding per-user memory to chatbots, support agents or assistants · Versuno: Developers building AI agents who want one database instead of stitching together a vector store, a graph database, and Postgres separately
Status
Both up at our last check — Mem0 Oct 2, 2026, Versuno Sep 1, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Mem0Memory layer for AI agents and apps that stores user facts and preferences between sessions and retrieves them on demand.VersunoBuilds an open-source, Postgres-based memory engine that gives AI agents relational, vector, and graph retrieval.

Side by side

FactMem0Versuno
CategoryLLM Orchestration FrameworksVector Databases & RAG
Pricing modelFreemiumFree
Starts at$19/mo—
Public APIYesYes
Trust score89 / 10075 / 100
PlatformsAPI, WebWeb, API
CompanyEmbedchain, Inc. (d/b/a Mem0)Versuno
Launched2024—
Last verifiedOct 2, 2026Sep 1, 2026

What our research says

Mem0

Mem0 is a reasonable way to add cross-session personalisation to an agent without designing your own memory store, and the open-source library means you can start locally and move to the hosted service later. The hosted tiers are priced by request counts, so chatty agents can burn through the small plans faster than the user counts suggest.

Pros

  • Open-source library under Apache-2.0 with a hosted platform for production
  • Free tier with unlimited end users
  • SDKs plus MCP, CLI and a gateway for common agent setups
  • Compliance posture is published, including SOC 2 Type I

Cons

  • Graph memory, advanced analytics and private Slack support only start at the $249 Pro tier
  • Free and Starter tiers allow few retrieval requests, 1,000 and 5,000 a month
  • Quality depends on what the extraction step decides to store, which you cannot fully control

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

Which one fits

Choose Mem0 if you need

  • Developers adding per-user memory to chatbots, support agents or assistants
  • Teams that want an open-source memory library with a hosted option
  • Agent builders who need memory exposed over MCP

Choose Versuno if you need

  • 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

Mem0 vs Versuno: the questions people ask

Is Mem0 cheaper than Versuno?

Versuno is free to use; Mem0 starts at $19/mo.

Does Mem0 or Versuno have a free tier?

Both: Mem0 has a free tier, and Versuno is free to use.

Which has a public API, Mem0 or Versuno?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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