Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
GAM (Generalized Agent Memory)github.com · Low evidenceGeneral Agentic Memory (GAM) is a general memory system/framework for AI agents that combines long-term retention with dynamic reasoning. It follows a Just-in-Time principle, preserving full contextual fidelity offline while enabling deep online research to build adaptive, high-utility context. Its dual-agent architecture—Memorizer and Researcher—integrates structured memory with iterative retrieval and reflection, achieving strong benchmark performance across LoCoMo, HotpotQA, RULER, and NarrativeQA.
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