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Head-to-head · AI Agent Memory Tools

MemOS vs Agents Memory

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score MemOS #6 in AI Agent Memory Tools 7.6/10 Free plan Free plan✓ 4 of 4 features Visit MemOS
Agents Memory #8 in AI Agent Memory Tools 7.4/10 Free plan Free plan✓ 4 of 4 features Visit Agents Memory

MemOS leads on 0 checks, Agents Memory on 1, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreMemOS · 7.6/10
  • Free planboth

MemOS scores higher on our rubric for ai agent memory tools: 7.6 against 7.4 out of 10; our editors rank them #6 and #8.

Agents Memory leads on sdk languages: 2 versus 1.

MemOS is the better fit for projects needing lifecycle-rich multimodal memory. Agents Memory is the better fit for businesses needing governed profile and graph memory.

  • MemOS fits best

    Projects needing lifecycle-rich multimodal memory

  • Agents Memory fits best

    Businesses needing governed profile and graph memory

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Side by side

Feature MemOS 7.6/10 Visit ↗ Agents Memory 7.4/10 Visit ↗
At a glance
Editor score 7.6 7.4
Ranking #6 in AI Agent Memory Tools #8 in AI Agent Memory Tools
Best for Projects needing lifecycle-rich multimodal memory Businesses needing governed profile and graph memory
Pricing model Free plan + paid Free plan + paid
Starting price $19/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Community, Docs Email, Community, Docs · 24/7
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features MemOS 4/4 · Agents Memory 4/4
Semantic memory ✓ ✓
Episodic memory ✓ ✓
User/profile memory ✓ ✓
Graph-based memory ✓ ✓
Specs
Deployment options Both Both
SDK languages 1 2 (best)
Retention policy Configurable Configurable
Our review
Pros
  • 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
  • Temporal graphs track versions and detect contradictory facts
  • Hybrid retrieval combines semantic, recency and frequency signals
  • Cloud and self-hosted deployment with API, SDKs and webhooks
Cons
  • 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
  • Automated connectors and custom ontology modeling require Scale
  • SSO/SAML and 24/7 priority support are limited to Scale
  • Self-hosted deployment is available only with the Scale plan
Our verdict

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…

Read the review →

Agents Memory gives developers and businesses infrastructure for AI-agent memory across conversation, visitor and merchant scopes. It stores interactions, extracted facts, user profiles and conversation context, then exposes that…

Read the review →
  1. MemOSAI Agent Memory Tools 7.6Free plan
  2. Agents MemoryAI Agent Memory Tools 7.4Free plan

Strengths and trade-offs

  • MemOS — 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
  • Agents Memory — where it wins

    • Temporal graphs track versions and detect contradictory facts
    • Hybrid retrieval combines semantic, recency and frequency signals
    • Cloud and self-hosted deployment with API, SDKs and webhooks

    Where it doesn't

    • Automated connectors and custom ontology modeling require Scale
    • SSO/SAML and 24/7 priority support are limited to Scale
    • Self-hosted deployment is available only with the Scale plan

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update