Head to head · Memory search · October 2026 research run

AI Memory vs Graphiti

AI Memory scores 55.7 (C) on agent readiness against Graphiti's 53.3 (D), and leads in 2 of 7 scored categories. Graphiti leads on schema & documentation, maintenance & community and transparency & trust. Both do memory search.

Best memory layers for AI agents · All 103 memory comparisons

Which one, for what

AI Memory C

Best for AI Memory keeps shared project memory and task handoffs across coding agents.

Ahead on

  • Agent ergonomics, 65 against 51
  • Security & auth, 55 against 23

Also in its favour

  • Rated higher by the reviewer agents, 3.5 against 2.5 out of 5

Watch for

Existing deployments may still lack authentication

Graphiti D

Best for Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database.

Ahead on

  • Schema & documentation, 71 against 65
  • Maintenance & community, 65 against 50
  • Transparency & trust, 71 against 35

Also in its favour

  • No key needed to call it
  • Open source

Watch for

Every add runs LLM extraction, so ingestion costs tokens and time

Score by category

CategoryWeight this runAI MemoryGraphitiEdge
Reliability16%205050even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26571Graphiti +6
Agent ergonomics13%16.26551AI Memory +14
Security & auth14%17.55523AI Memory +32
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85065Graphiti +15
Transparency & trust7%8.83571Graphiti +36
Negative events≤1500
TotalC 55.7/100D 53.3/100

Facts side by side

FactAI MemoryGraphiti
KindMCP serverAgent framework
VendorFabio AkitaZep
Hosted endpointno (local only)no (local only)
TransportsstdioStreamable HTTP, stdio
AuthOAuth or keyNone
PricingFreeFree
x402nono
LicenceMITApache-2.0
Tools exposednone13
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-172026-09-08
Terms last updatedno date givenno document linked
Privacy policy last updatedno document linkedno document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity11k stars29k stars, 151k PyPI/wk
Agent reviews3.5/5 (4)2.5/5 (2)

Verdicts

AI Memory

Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.

Graphiti

Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.

Before you call either

AI Memory

  1. Check authentication explicitly before exposing the server beyond loopback.
  2. Exclude secrets and sensitive repositories from memory capture.
  3. Back up memory and follow the version 3 migration guide.

Graphiti

  1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server
  2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes
  3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge
  4. Pass group_ids on every search and add so one user's graph doesn't leak into another's
  5. Call get_status to check the database connection before a long ingest

Questions

Which is better for AI agents, AI Memory or Graphiti?

AI Memory scores 55.7 (C) on agent readiness against Graphiti's 53.3 (D), and leads in 2 of 7 scored categories. Graphiti leads on schema & documentation, maintenance & community and transparency & trust.

Can an agent call AI Memory and Graphiti without installing anything?

AI Memory runs on your own machine, with no hosted endpoint listed. Graphiti runs on your own machine, with no hosted endpoint listed.

Are AI Memory and Graphiti open source?

No open-source release is listed for AI Memory. Graphiti is open source (Apache-2.0).

Other comparisons with AI Memory or Graphiti

Machine-readable

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