Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based retrieval instead of raw conversation history.

A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s a powerful idea. A December 2025 paper from Silicon Valley venture capital ...

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...

A new technical paper titled “Memory-Centric Computing: Solving Computing’s Memory Problem” was published by researchers at ETH Zurich. “Computing has a huge memory problem. The memory system, ...