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librarian-agents.github.io

librarian-agents.github.io — Paper + code

librarian-agents.github.io is Paper + code. It is ranked #1939 on the Dev Radar, in AI dev tools, first seen 8 days ago and shared in 1 post (23.4k views).

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What librarian-agents.github.io says about itself

An RL-trained builder curates document corpora into reusable, answer-facing workspaces before future queries arrive.

Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries Anikait Singh 1,* Teresa Zhang 1,* Yoonho Lee 1,* Roshen Sanjay Nair 1 Aviral Kumar 2 Chelsea Finn 1 1 Stanford University 2 Carnegie Mellon University * Equal contribution Paper (PDF) Code Slides Contact Abstract Reasoning over long document contexts remains a challenge for large language models (LLMs). Standard retrieval methods are inherently reactive, bottlenecking agents with complex, cross-document reasoning at inference time. Existing…

What people said about librarian-agents.github.io on X

How do we scale up the context of LLMs? Agentic search scales to arbitrarily large amounts of info, but can easily miss relevant info. Idea💡: Optimize organization of info for downstream utility. Leads to 30+% gains even on OOD domains Paper + code: https://librarian-agents.github.io/

— @chelseabfinn, 8 days ago · 319 likes · see the post

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What is librarian-agents.github.io?

Paper + code It was first shared on X 8 days ago and is ranked #1939 on the Dev Radar.

Is librarian-agents.github.io free?

It is open source.

Who shared librarian-agents.github.io?

1 account on X, including @chelseabfinn, in 1 post totalling 23.4k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 21:12 UTC. Full method.