Nanonets (auto-discovered)

AI agents fail to make informed decisions because they lack access to the reasoning behind past decisions, a problem context graphs aim to solve by storing the 'why' in agent memory. Foundation Capita…

A benchmark comparing context graphs, vector RAG, and raw context for agentic memory found that context graphs outperform alternatives on multi-hop retrieval tasks, where an agent must chain facts tha…