Skills
Mem0g Graph Memory: Entity-Relationship Graphs for Production Agent Memory Achieve 26% Accuracy Boost and 91% Lower p95 Latency vs OpenAI
Mem0's graph memory variant (Mem0g) stores memories as directed labeled graphs where entities are nodes and relationships are edges, with LLM-powered conflict detection/resolution on update. Benchmarks show 26% relative improvement on LLM-as-a-Judge metrics versus OpenAI memory, 91% lower p95 latency, and 90% token savings at inference. The graph structure excels at multi-hop relationship queries that flat vector memory fails on. GA'd January 2026 with native LangChain/LlamaIndex integrations.
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