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Head-to-head · AI Agent Memory Tools

Cognee vs Agents Memory

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Cognee #5 in AI Agent Memory Tools 7.7/10 Free plan Free plan✓ 3 of 4 features Visit Cognee
Agents Memory #8 in AI Agent Memory Tools 7.4/10 Free plan Free plan✓ 4 of 4 features Visit Agents Memory

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

Our verdict

  • Highest scoreCognee · 7.7/10
  • Free planboth
  • Most featuresAgents Memory · 4 of 4

Cognee scores higher on our rubric for ai agent memory tools: 7.7 against 7.4 out of 10; our editors rank them #5 and #8.

Cognee is the better fit for teams building knowledge-graph agent memory. Agents Memory is the better fit for businesses needing governed profile and graph memory.

  • Cognee fits best

    Teams building knowledge-graph agent 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 Cognee 7.7/10 Visit ↗ Agents Memory 7.4/10 Visit ↗
At a glance
Editor score 7.7 7.4
Ranking #5 in AI Agent Memory Tools #8 in AI Agent Memory Tools
Best for Teams building knowledge-graph agent memory Businesses needing governed profile and graph memory
Pricing model Free plan + paid Free plan + paid
Starting price $1/unit usage-based —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Community, Docs Email, Community, Docs · 24/7
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Cognee 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 Not checked yet 2
Retention policy Not checked yet Configurable
Our review
Pros
  • Transforms varied data into searchable entities-and-relationships graphs
  • Supports natural-language, temporal, completion, and chunk searches
  • Offers open-source self-hosting plus managed Cognee Cloud
  • 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
  • Usage-based billing can make monthly costs harder to forecast
  • BYOC and dedicated support are available only on Enterprise
  • Graph-centered workflows may exceed the needs of simple memory stores
  • 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

Cognee is an open-source memory engine and knowledge-graph platform for developers building AI agents and other AI applications. It ingests text, documents, and structured data, then processes them into graphs with entities, relationships,…

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. CogneeAI Agent Memory Tools 7.7Free plan
  2. Agents MemoryAI Agent Memory Tools 7.4Free plan

Strengths and trade-offs

  • Cognee — where it wins

    • Transforms varied data into searchable entities-and-relationships graphs
    • Supports natural-language, temporal, completion, and chunk searches
    • Offers open-source self-hosting plus managed Cognee Cloud

    Where it doesn't

    • Usage-based billing can make monthly costs harder to forecast
    • BYOC and dedicated support are available only on Enterprise
    • Graph-centered workflows may exceed the needs of simple memory stores

  • 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