Stanford's Librarian Agents Build Their Own Workspaces, Boosting RAG Accuracy

Stanford and CMU researchers introduced Librarian Agents, an RL-trained framework where agents curate their own hierarchical workspaces from raw corpora, lifting RAG retrieval accuracy from 44% to 77% on proprietary-domain queries.

2026-10-19 ~ 2026-10-21 · 3 related posts

• Librarian Agents: new paper lets agents curate their own long-context workspaces — charles_irl · 2026-10-19
• Stanford's Librarian Agents use RL to curate workspaces, beating retrieval by 33 points — StanfordUniversity · 2026-10-20
• Librarian Agents: RL-trained agents build file systems, lifting RAG accuracy 44%→77% — simonguozirui · 2026-10-21