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Head-to-head · AI Agent Memory Tools

Engrama vs Agents Memory

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Engrama #7 in AI Agent Memory Tools 7.5/10 Free plan Free plan✓ 3 of 4 features Visit Engrama
Agents Memory #8 in AI Agent Memory Tools 7.4/10 Free plan Free plan✓ 4 of 4 features Visit Agents Memory

Engrama 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 scoreEngrama · 7.5/10
  • Free planboth
  • Most featuresAgents Memory · 4 of 4

Engrama scores higher on our rubric for ai agent memory tools: 7.5 against 7.4 out of 10; our editors rank them #7 and #8.

Engrama is the better fit for developers wanting graph memory with profiles. Agents Memory is the better fit for businesses needing governed profile and graph memory.

  • Engrama fits best

    Developers wanting graph memory with profiles

  • 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 Engrama 7.5/10 Visit ↗ Agents Memory 7.4/10 Visit ↗
At a glance
Editor score 7.5 7.4
Ranking #7 in AI Agent Memory Tools #8 in AI Agent Memory Tools
Best for Developers wanting graph memory with profiles 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 Email, Community, Docs · 24/7
Compliance SSO/SAML SSO/SAML
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Engrama 3/4 · Agents Memory 4/4
Semantic memory ✓ ✓
Episodic memory Not checked yet ✓ (best)
User/profile memory ✓ ✓
Graph-based memory ✓ ✓
Specs
Deployment options Both Both
SDK languages 2 2
Retention policy Not checked yet Configurable
Our review
Pros
  • Automatic fact and intent extraction from conversations
  • Typed, versioned graphs with hybrid graph and vector retrieval
  • Hosted or self-hosted deployment with TypeScript and Python SDKs
  • 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
  • Analytics and webhooks are available only on paid tiers
  • SSO/SAML and uptime SLAs start with the Scale plan
  • Unlimited tokens and search are reserved for Enterprise
  • 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

Engrama provides long-term memory infrastructure for AI agents, copilots, chatbots and personal assistants. It extracts facts and intents from conversations and connected data, links them in typed, versioned graphs, and returns ranked…

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. EngramaAI Agent Memory Tools 7.5Free plan
  2. Agents MemoryAI Agent Memory Tools 7.4Free plan

Strengths and trade-offs

  • Engrama — where it wins

    • Automatic fact and intent extraction from conversations
    • Typed, versioned graphs with hybrid graph and vector retrieval
    • Hosted or self-hosted deployment with TypeScript and Python SDKs

    Where it doesn't

    • Analytics and webhooks are available only on paid tiers
    • SSO/SAML and uptime SLAs start with the Scale plan
    • Unlimited tokens and search are reserved for Enterprise

  • 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