Interesting paper on agent memory stored as a linked markdown wiki.
This is a AI post classified by Jev as RAG & memory (research), kept by the AI Radar because it carries real work, not commentary.
Interesting paper on agent memory stored as a linked markdown wiki. Lots of great ideas and insights if you work with LLM Wikis. Wikis are useful for agents because each page holds dense text and the links between pages hold structure. WFM is a Wiki Foundation Model trained to use both at once. It turns an LLM Wiki into a graph and retrieves from it with message passing conditioned on the query, so the text of each page and the link structure shape the result together. The team also built a GPU-to-GPU training protocol that trains 10.5x faster, and reports strong results on five agent memo
Posted by elvis (320.9k followers) 2 h ago · 35 likes · 3.7k views · view the original post on X. Kept by the AI Radar as RAG & memory. Tools mentioned: arXiv.org, academy.dair.ai.
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