Best memory layer for AI agents

Combined ranking

1. 1
   MMem0—15 pts

   GPT #1Claude #1Gemini #1

   Best overall balance of a simple memory API, managed or self-hosted deployment, user/agent/session scoping, hybrid vector-and-graph recall, broad integrations, and production maturity

   To stay #1 Make temporal conflict resolution and memory provenance first-class instead of relying so heavily on LLM-driven extraction

2. 2
   ZZep—12 pts

   GPT #2Claude #2Gemini #2

   Its Graphiti-powered bi-temporal knowledge graph is exceptional at evolving facts, relationship history, provenance, and low-latency enterprise retrieval

   To rank higher Offer a simpler, lighter-weight deployment path for teams that do not need a full temporal graph stack

3. 3
   LLetta—9 pts

   GPT #3Claude #3Gemini #3

   The strongest agent-native memory architecture, combining always-visible editable memory blocks, archival memory, files, shared state, and autonomous memory management

   To rank higher Decouple its memory system into an equally polished standalone layer that works without adopting the broader Letta agent runtime

4. 4
   LLangMem—4 pts

   GPT —Claude #4Gemini #4

   Native memory SDK for the LangChain/LangGraph ecosystem — semantic, episodic, and procedural memory patterns with hot-path and background consolidation, and zero-friction adoption for the largest agent-framework install base

   To rank higher Prove itself outside LangChain — it's ecosystem-bound and less battle-tested as a standalone product, with fewer benchmark results and less managed-service maturity than Mem0 or Zep

5. 5
   CCognee—3 pts

   GPT #5Claude #5Gemini #5

   Highly flexible open-source memory with relational provenance, vector retrieval, knowledge graphs, ontologies, session-to-permanent memory promotion, and pluggable storage backends

   To rank higher Reduce ingestion complexity and graph-building latency enough to match the operational simplicity of higher-ranked services

6. 6
   SSupermemory—2 pts

   GPT #4Claude —Gemini —

   Excellent turnkey context infrastructure with strong long-memory benchmarks, automatic user profiles, multimodal ingestion, connectors, deduplication, and managed or private deployment

   To rank higher Open-source more of the core memory engine so teams can audit, customize, and self-host it without depending on a proprietary service

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously