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Mnemoverse

Freemium#17 of 34 in AI Agent Memory Tools

Mnemoverse: Associative agent memory with semantic retrieval, feedback reranking, and MCP access. Ranked #17 of 34 in AI Agent Memory Tools by our editors (6.5/10); pricing: Free plan; best for teams wanting associative memory feedback loops.

6.5/10Editor score
Mnemoverse6.5 Visit Mnemoverse

At a glance

  • Editor score
    6.5 / 10
  • Pricing
    Free plan
  • Best for
    Teams wanting associative memory feedback loops
  • Free plan
    Yes
  • Paid from
    $29/mo
  • Semantic memory
    Yes
  • Facts checked
    13 Oct 2026
  • Where it wins

    • Hebbian associations and outcome feedback improve memory retrieval
    • MCP, REST, Python, and Vercel AI SDK access
    • Shared domains, dedicated infrastructure, and self-hosting options
  • Where it doesn't

    • Memories are not automatically erased or expired
    • Shared memory management starts on the $149/month Team plan
    • Enterprise compliance details such as SOC 2 are handled on request

Our verdict on Mnemoverse

Mnemoverse is a hosted memory API for AI agents that stores preferences, decisions, lessons, and other memories. It is aimed at individual builders and teams that want agents to recall information across interactions. Semantic search uses embeddings, while a Hebbian concept-association graph links related memories. Outcome feedback then adjusts ranking so useful memories surface more often, and learned associations can expand queries automatically.

The Free plan costs $0 per month and includes full API access, an MCP server, and no credit card requirement. Pro costs $29 per month for individual builders and adds priority support. Team costs $149 per month and adds shared memory and management, team management, shared domains, and priority support. Enterprise plans include dedicated infrastructure, SSO/SAML, audit logs, an SLA, and self-hosting by agreement. For ecosystem fit, Mnemoverse connects with Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT, and other MCP clients, alongside REST, Python, and Vercel AI SDK access.

Its standout capability is the feedback loop: agents can write, read, provide feedback on, and gather statistics about memories through the API, with outcomes influencing later retrieval. Shared memory rooms and domains extend that model to collaborative work, while cloud and self-hosted deployment cover different operating preferences. Teams should consider how memory retention fits their policies because memories are not automatically erased or expired. Mnemoverse suits builders who want associative retrieval and broad client connectivity; organizations requiring automatic expiration should evaluate alternatives.

Your product? Our editors can test Mnemoverse in depth and publish a review, labelled as paid · from $99/mo →

Mnemoverse pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 13 Oct 2026.
See plans on mnemoverse.com

All 4 Mnemoverse plans and prices →

Mnemoverse fact sheet

Free planYes
Paid from$29/mo
Semantic memoryYes
Episodic memoryYes
User/profile memoryYes
Graph-based memoryYes
Deployment optionsBoth
SDK languages2
Retention policyIndefinite
Money-back guarantee14 days
DeploymentCloud, Self-hosted
PlatformsWeb
Compliance & securitySSO/SAML
SupportEmail, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations10 integrations: Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT … See all →
PricingFree plan (source)
Websitemnemoverse.com
Facts checked13 Oct 2026

Mnemoverse integrations

Mnemoverse lists 10 integrations on its own site.

  • Claude Code
  • Claude Desktop
  • Cursor
  • VS Code
  • Windsurf
  • ChatGPT
  • Python SDK
  • Vercel AI SDK
  • REST API
  • MCP

See all Mnemoverse integrations →

Alternatives to Mnemoverse

See all Mnemoverse alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Mnemoverse 6.5/10

Mnemoverse is listed in our AI Agent Memory Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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