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General Agentic Memory tackles context rot and outperforms RAG in memory benchmarks
General Agentic Memory tackles context rot and outperforms RAG in memory benchmarks

A Chinese research team has developed a new memory architecture for AI agents. "GAM" is designed to minimize information loss during long interactions by combining compression with deep research.
The article General Agentic Memory tackles context rot and outperforms RAG in memory benchmarks appeared first on THE DECODER.

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