Mem0ᵍ's cross-session relationship capturing, long conversations finally have a solution

Mem0 announces the core long-term memory algorithm research: extracting key facts through a two-stage pipeline and updating memory to avoid forgetfulness. Under the LOCOMO benchmark, accuracy is 26% higher than OpenAI's built-in memory, P95 reasoning latency is reduced by 91%, and token consumption is decreased by 90%. The enhanced variant Mem0ᵍ introduces a graph database to capture cross-session entity relationships. From memory retrieval to response, the production end takes only 0.71 seconds, far better than the nearly 10 seconds for full context. The research has been accepted by ECAI, and the code is open-sourced on GitHub.