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Head-to-head · AI Agent Memory Tools

Mem0 vs Agents Memory

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Mem0 #2 in AI Agent Memory Tools 8.8/10 Free plan Free plan✓ 4 of 4 features Visit Mem0
Agents Memory #8 in AI Agent Memory Tools 7.4/10 Free plan Free plan✓ 4 of 4 features Visit Agents Memory

Mem0 leads on 0 checks, Agents Memory on 0, and 6 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 scoreMem0 · 8.8/10
  • Free planboth

Mem0 scores higher on our rubric for ai agent memory tools: 8.8 against 7.4 out of 10; our editors rank them #2 and #8.

Mem0 is the better fit for teams needing broad, compliant memory infrastructure. Agents Memory is the better fit for businesses needing governed profile and graph memory.

  • Mem0 fits best

    Teams needing broad, compliant memory infrastructure

  • 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 Mem0 8.8/10 Visit ↗ Agents Memory 7.4/10 Visit ↗
At a glance
Editor score 8.8 7.4
Ranking #2 in AI Agent Memory Tools #8 in AI Agent Memory Tools
Best for Teams needing broad, compliant memory infrastructure 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
Compliance SOC 2, HIPAA, GDPR, SSO/SAML SSO/SAML
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Mem0 4/4 · Agents Memory 4/4
Semantic memory ✓ ✓
Episodic memory ✓ ✓
User/profile memory ✓ ✓
Graph-based memory ✓ ✓
Specs
Deployment options Both Both
SDK languages 2 2
Retention policy Configurable Configurable
Our review
Pros
  • Persistent, semantic, graph, and episodic memory with contradiction handling
  • Managed API and open-source self-hosting across cloud and private infrastructure
  • 25 integrations plus configurable expiration and scoped identifiers
  • 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
  • Graph memory and Dream are limited to Pro and Enterprise plans
  • Hobby and Starter list community support only
  • Enterprise pricing is custom, which makes budgeting less predictable
  • 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

Mem0 provides a memory layer for AI agents and applications. It extracts facts, decisions, and preferences from conversations, stores them as persistent memories, and retrieves relevant context across sessions and agents. Semantic vector…

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. Mem0AI Agent Memory Tools 8.8Free plan
  2. Agents MemoryAI Agent Memory Tools 7.4Free plan

Strengths and trade-offs

  • Mem0 — where it wins

    • Persistent, semantic, graph, and episodic memory with contradiction handling
    • Managed API and open-source self-hosting across cloud and private infrastructure
    • 25 integrations plus configurable expiration and scoped identifiers

    Where it doesn't

    • Graph memory and Dream are limited to Pro and Enterprise plans
    • Hobby and Starter list community support only
    • Enterprise pricing is custom, which makes budgeting less predictable

  • 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

All AI agent memory tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update