{"slug":"falkordb","name":"FalkorDB","domain":null,"verdict":"As of 2026-08-10, ChatGPT, Claude, Gemini, Grok collectively rank FalkorDB #6 of 6 for graph memory stores for multi-agent systems. Source: https://modelsagree.com/product/falkordb (modelsagree.com, CC BY 4.0).","best_rank":6,"categories":1,"entries":[{"slug":"best-graph-memory-stores-for-multi-agent-systems","title":"Best graph memory stores for multi-agent systems","rank":6,"of":6,"score":4,"appearances":2,"modelRanks":{"Gemini":4,"Grok":4},"reason":"In-memory graph database delivering sub-millisecond multi-hop query performance and low resource consumption engineered specifically for agentic GraphRAG backends; assumes practitioners need a fast native graph database layer rather than a pre-packaged agent framework abstraction.","reasons":[{"model":"Gemini","reason":"In-memory graph database delivering sub-millisecond multi-hop query performance and low resource consumption engineered specifically for agentic GraphRAG backends; assumes practitioners need a fast native graph database layer rather than a pre-packaged agent framework abstraction."},{"model":"Grok","reason":"Ultra-low-latency sparse-matrix graph DB with native multi-tenancy, Cypher+vector hybrid, and proven Graphiti backend delivering sub-10 ms multi-hop"}],"fixes":[{"model":"Gemini","fix":"Lacks higher-level agentic memory primitives such as automated entity extraction and temporal decay, requiring custom developer orchestration code."}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[6,4]},"api":"https://modelsagree.com/api/v1/best/best-graph-memory-stores-for-multi-agent-systems.json"}],"page":"https://modelsagree.com/product/falkordb","check":"https://modelsagree.com/check?q=FalkorDB","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}