Graphiti
What ChatGPT, Claude, Gemini & Grok actually say · August 2026
The verdict
Graphiti appears in 1 AI-ranked category — best position #1 for graph memory stores for multi-agent systems.
Best overall balance of merit and value: open-source, bi-temporal facts, automatic invalidation of superseded relationships, and hybrid vector/full-text/graph retrieval; near-tied with Zep, but wins for practitioners who can self-host
Claude Purpose-built temporal knowledge-graph engine for agent memory; bi-temporal model tracks both event time and ingestion time, and it does incremental entity/edge updates without recomputing the whole graph, which matters when many agents write concurrently. Open-source, backend-agnostic (Neo4j or FalkorDB), and designed for real-time read/write rather than batch GraphRAG. Assumes the practitioner needs relationship- and time-aware recall, not just semantic vector lookup.
Gemini Purpose-built for dynamic multi-agent memory by structuring context into temporal knowledge graphs with automatic entity resolution, bi-directional edge updates, and time-based fact invalidation; assumes tracking how facts evolve over time is the main memory bottleneck in multi-agent systems (near-tie with Mem0 for overall agent adoption).
Grok Purpose-built temporal knowledge graph engine for agent memory with bi-temporal validity windows on every edge, hybrid semantic+BM25+traversal retrieval, native multi-tenant group isolation, and explicit multi-agent shared-memory patterns; backends include Neo4j/FalkorDB and it underpins production Zep deployments with strong LongMemEval temporal scores
Where Graphiti falls short, per the models
- GPT You must operate a graph backend and build your own authorization, tenancy, and production governance
- Claude LLM-driven extraction adds per-write latency and token cost, and you still operate a graph backend yourself — overkill for a single agent that a plain vector store would serve.
- Gemini Incurs high LLM API costs and extraction latency during graph construction, making it poorly suited for high-frequency, real-time raw data ingestion.
- Grok Self-host requires operating a graph DB and extraction pipeline; not the lightest drop-in for simple per-user vector needs
Poll history — #1 in all 2 polls since Aug 3
#1 → #1
Top alternatives per the models: Cognee · Mem0 · Zep · Neo4j
Head-to-head — how the models call it
Watch Graphiti
Boards re-poll weekly and the models change their minds. One short email only when Graphiti's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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Graphiti ranks #1 for best graph memory stores for multi-agent systems by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-graph-memory-stores-for-multi-agent-systems?utm_source=badge&utm_medium=embed&utm_campaign=badge-graphiti)<a href="https://modelsagree.com/best/best-graph-memory-stores-for-multi-agent-systems?utm_source=badge&utm_medium=embed&utm_campaign=badge-graphiti"><img src="https://modelsagree.com/badge/graphiti.svg" alt="Graphiti — ranked #1 for Best graph memory stores for multi-agent systems by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology