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MemOS

Freemium#6 of 34 in AI Agent Memory Tools

MemOS: Lifecycle-rich multimodal memory with APIs, graph storage, and self-hosting. Ranked #6 of 34 in AI Agent Memory Tools by our editors (7.6/10); pricing: Free plan; best for projects needing lifecycle-rich multimodal memory.

7.6/10Editor score
MemOS7.6 Visit MemOS

At a glance

  • Editor score
    7.6 / 10
  • Pricing
    Free plan
  • Best for
    Projects needing lifecycle-rich multimodal memory
  • Free plan
    Yes
  • Paid from
    $19/mo
  • Semantic memory
    Yes
  • Founded
    2024 · Shanghai, China
  • Facts checked
    13 Oct 2026
  • Where it wins

    • Covers semantic, profile, event, graph, tool and multimodal memory
    • Lifecycle controls include merge, archive, expiration and freeze states
    • Cloud and self-hosted deployment with chat and knowledge-base APIs
  • Where it doesn't

    • Free and Starter plans list the same feature highlights
    • Dedicated support is listed only for the Pro plan
    • One SDK language is listed in the category specifications

Our verdict on MemOS

MemOS is a memory operating system and managed platform for AI applications and agents. It accepts conversations, behavior events, documents, images, skills and tool traces, then extracts, updates, schedules and retrieves memories through APIs. Its memory model spans facts, preferences, structured user profiles, events, skills, tool memories and knowledge-base memories. That makes it a fit for solo developers and teams building agents that need persistent, lifecycle-aware context across conversations and content types.

The published plans start with Free at $0 per month and include Memory API, Chat API, Knowledge Base and community support. Starter is listed at $19 per month, with the same highlighted capabilities and support; the pricing page currently displays it as a free promotion. Pro is listed at $286 per month and adds dedicated support. Enterprise includes unlimited Memory API, Chat API and Knowledge Base usage, plus private deployment and custom integration. Buyers should compare expected memory volume and support needs against these plan differences before moving beyond the free tier.

MemOS supports web, API and self-hosted use, with cloud and self-hosted deployment options. Integrations include Coze, Dify, MCP and agent frameworks. Its standout depth is lifecycle handling: memories can be merged, archived, expired or frozen, while graph storage enables multi-hop traversal and search APIs provide semantic retrieval. Knowledge bases add document parsing and indexing, and the Chat API can combine memory recall with knowledge-base enhancement. Choose MemOS when multimodal inputs, profile and event memory, graph relationships and deployment control matter together. A narrower memory layer may suit projects that need only basic retrieval or a simpler plan structure.

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

MemOS pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 13 Oct 2026.
See plans on memos-docs.openmem.net

All 4 MemOS plans and prices →

MemOS fact sheet

Free planYes
Paid from$19/mo
Semantic memoryYes
Episodic memoryYes
User/profile memoryYes
Graph-based memoryYes
Deployment optionsBoth
SDK languages1
Retention policyConfigurable
DeploymentCloud, Self-hosted
PlatformsWeb
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: Coze, Dify, MCP, Agent frameworks
PricingFree plan (source)
Websitememos-docs.openmem.net
Facts checked13 Oct 2026

MemOS integrations

MemOS lists 4 integrations on its own site.

  • Coze
  • Dify
  • MCP
  • Agent frameworks

Alternatives to MemOS

See all MemOS alternatives →

MemOS vs the competition

Compare MemOS with any tool side by side →

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Featured on iTechGuides

Featured on iTechGuides — MemOS 7.6/10

MemOS 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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