Model Releases

I just ran a paper-research agent on an open stack and had this week's top 5 papers on agent memory in my terminal in about 10 seconds. How …

I just ran a paper-research agent on an open stack and had this week's top 5 papers on agent memory in my terminal in about 10 seconds. How does it work? I used Tavily to pull the last 7 days of arXiv

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I just ran a paper-research agent on an open stack and had this week's top 5 papers on agent memory in my terminal in about 10 seconds. How does it work? I used Tavily to pull the last 7 days of arXiv. NVIDIA Nemotron 3 Ultra, served on Nebius Token Factory, reads and ranks them. It's 24 lines of Python on an OpenAI-compatible API. It cost me nothing to try. You can build this too! Here is how: The new Nebius AI Builder Program gives you $400+ in credits and discounts on day one, across Token Factory, Tavily, and launch partners, plus runnable blueprints and free courses built with NVIDIA. What I like most is that every layer is swappable. Change the model or the search layer, and the rest keeps working. Walkthrough in the video. Join for free here: http://devtoolsacademy.link/elv Thanks to Nebius for collaborating on this post. Media

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Source: DAIR.AI (X) | 2026-09-28

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