CodingDocumented overviewLast checked Oct 2, 2026

Versuno (memloom): Pricing, Features & Best Use Cases

Versuno builds memory and context infrastructure for AI, including the open-source memloom engine and a hosted platform.

Who Versuno (memloom) fits

Versuno suits developers who need persistent, reviewable memory for AI agents, using the open-source memloom engine and an optional hosted platform with a free tier. Based on the vendor's documentation, not on a hands-on test.

Best for: AI developers

Also a good fit for

  • Teams building agents

Consider another tool if free plan limited to 2,000 brain queries and 50 chat messages per month

Or if

  • Free plan has 10 private assets and 10 projects
  • memloom cloud is not yet released

Versuno (memloom) pricing and usage limits

Prices checked Oct 2, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.

Versuno (memloom) pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
The official Versuno (memloom) pricing page as we saw it. versuno.ai, captured Oct 2, 2026

Free access and trial conditions

Free plan $0/month

No separate trial; Free plan

Paid plans: what changes as you upgrade

Free web

Free source (opens in a new tab)

Monthly

For: Getting started

Limits

  • 2,000 public brain queries
  • 50 chat messages
1 more
  • 10 private assets, 10 projects

Includes

  • Unlimited public brains

Pro web

$19 source (opens in a new tab)

Monthly

Yearly toggle saves 2 months; yearly price not shown

For: Serious builders

Limits

  • 12,000 queries
  • 500 chat interactions

Includes

  • Unlimited private assets and projects
  • Priority support

Team web

$89 source (opens in a new tab)

Monthly

Yearly toggle saves 2 months; yearly price not shown

For: Teams

Limits

  • 60,000 pooled queries
  • 2,500 pooled chat interactions
1 more
  • 5 team members

Includes

  • Team prompt library
  • Role-based access

Usage caps, credits and extra costs

Top-up packs $5, $12, $25 never expire

Not stated

What is Versuno (memloom), and how does it work?

Versuno builds memory and context infrastructure for AI. Its homepage now centers on memloom, an Apache-2.0 open-source memory engine for AI agents built on Postgres, with conflicts surfaced for human review rather than silently overwritten. A hosted memloom cloud is listed as coming soon. The existing Versuno platform keeps running at app.versuno.ai, with usage-based plans.

Versuno (memloom) homepage — screenshot of the coding AI tool, Oct 2, 2026
Versuno (memloom)'s official site: how the product presents itself. versuno.ai, captured Oct 2, 2026

What you provide and what you get back

How Versuno (memloom) works: what you provide, where it runs and what you get backYOU PROVIDEYour inputAgent memories and promptsProject assetsQueries to public brainsCODINGVersuno (memloom)Web, Self-hostedfrom $19 (Pro)free tier availableaccount requiredchecked Oct 2, 2026YOU GET BACKThe resultRetrieved context for agentsReviewed memory conflictsManaged prompts and assetsinput → Versuno (memloom) → output · from the vendor's own pages, no hands-on test unless stated
What you give Versuno (memloom) and what comes back, from its documentation

You provide

  • Agent memories and prompts
  • Project assets
  • Queries to public brains

You get back

  • Retrieved context for agents
  • Reviewed memory conflicts
  • Managed prompts and assets

Where you can use it

Platforms
Web, Self-hosted (Postgres)
Account
Required
License
Apache-2.0
Language
TypeScript
Database
Postgres incl. PGLite
Top-ups
$5/$12/$25 packs
Team size
Team plan 5 members

Where Versuno (memloom) is most useful

Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Giving AI agents persistent memory

Who
AI developers
You provide
Agent conversations
Expected result
Persistent memory with conflict review
Plan needed
memloom (free open source)
Limitation
Hosted memloom cloud coming soon source (opens in a new tab)

Managing prompts and assets

Who
Prompt engineers
You provide
Prompts and assets
Expected result
Prompt and asset library
Plan needed
Free, Pro, Team
Limitation
10 private assets on Free source (opens in a new tab)

Querying public brains

Who
Agent builders
You provide
Queries
Expected result
Answers from public brains
Plan needed
Free to Team
Limitation
Query quotas by plan source (opens in a new tab)

What Versuno (memloom) does, and where it stops

Versuno (memloom) homepage — screenshot of the coding AI tool, Oct 2, 2026
Feature overview on the official site. versuno.ai, captured Oct 2, 2026

Open-source memloom engine (Apache-2.0, TypeScript)

A TypeScript memory engine for agents, licensed Apache-2.0 and runnable on Postgres including local PGLite. Gives agents durable memory

Access: Free open sourceLimit: Hosted version coming soon source (opens in a new tab)

Relational, vector, keyword and graph retrieval in one Postgres database

Runs relational, vector, keyword and graph retrieval inside a single Postgres database. Simplifies infrastructure

Access: memloomLimit: Requires Postgres source (opens in a new tab)

Human review of conflicting memories

When a new memory contradicts an old one, it is surfaced for a person to decide instead of newest wins. Keeps memory trustworthy

Access: memloomLimit: Needs human time source (opens in a new tab)

Prompt and asset management

Stores prompts and assets, with team library and roles on Team. Organizes reusable prompts

Access: Free to TeamLimit: Private assets capped on Free source (opens in a new tab)

Versuno (memloom) pros and cons

Where Versuno (memloom) is strong

Limitations to check before paying

How to use Versuno (memloom) for giving AI agents persistent memory

Set up Versuno (memloom)

  1. Open versuno.ai and choose memloom or the app
  2. Install memloom from the open-source repo or open app.versuno.ai
  3. Create a project
  4. Connect your agent to the memory store

Example: giving AI agents persistent memory

  1. Store a memory from an agent session
  2. Add a contradicting memory
  3. Review the conflict and choose what is true
  4. Query the memory from the agent

Review and export the result

  1. Confirm the retrieved memory matches your decision
  2. Check usage against plan quotas

Versuno (memloom) API

Versuno (memloom) pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
Plan comparison on the official pricing page. versuno.ai, captured Oct 2, 2026

API access and separate billing

Versuno (memloom) has no public API in its official documentation. No API docs on fetched pages

Privacy, data use and commercial rights

Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.

How your inputs and outputs are handled

Privacy page empty

Best Versuno (memloom) alternatives for different needs

"Better suited" is based on documented features and pricing, not on a head-to-head test.

n8n: better suited to

Alternatives
AlternativeWhen to choose itPricingLimitation
n8n——

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    Versuno (memloom) FAQ

    Is memloom open source?

    Yes, Apache-2.0 and written in TypeScript. source (opens in a new tab)

    What does the Versuno free plan include?

    2,000 public brain queries, 50 chat messages a month, 10 private assets and 10 projects. source (opens in a new tab)

    Do Versuno top-up packs expire?

    No, credit packs never expire. source (opens in a new tab)

    Is memloom cloud available now?

    No, it is marked coming soon. source (opens in a new tab)

    How does memloom handle conflicting memories?

    It sends them for human review rather than newest-wins. source (opens in a new tab)

    Sources and review methodology

    Official sources and verification dates

    Not verified: Annual prices; Privacy (empty page); Docs (empty page).

    How we documented and maintain this page

    Every fact about Versuno (memloom) above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run Versuno (memloom) ourselves, so it has no editorial score. How we check and re-check pages.

    Article updated Oct 2, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error