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It is designed to be opinionated and ready to use out of the box, offering a living research system that grows alongside evolving agent skills, toolsets, and memory bases.
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Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human-on-the-loop paradigm, where AI acts as a research buddy that co-evolves with human researchers and internalizes scholarly taste and scientific judgment.**
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<h3>Unified Control, Different Surfaces</h3>
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<h3>⚡ Unified Control, Different Surfaces</h3>
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<table>
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<tr>
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@@ -78,6 +78,7 @@ Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human
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- **[13 Mar 2026]** 🚀 [**EvoScientist**](https://github.com/EvoScientist/EvoScientist) officially debuts!
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- **[11 Mar 2026]** ⛳ Technical Report is live! [**Check it out**](https://arxiv.org/abs/2603.08127) 👈
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- **[09 Mar 2026]** 🏆 6/6 accepted at [ICAIS 2025](https://icais.ai/) AI Scientist Track — Best Paper & AI Reviewer's Appraisal Award! [**Details**](https://airaxiv.com/papers/?q=zacharyzhang2022%40gmail.com) 👈
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- **[06 Mar 2026]** 🥇 Ranked #1 on [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) at submission time! [**Leaderboard**](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 👈
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## 📖 Table of Contents
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它以开箱即用为设计理念,提供一个伴随智能体技能、工具集和记忆库共同成长的活跃研究系统。
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EvoScientist 超越了传统的人在回路(Human-in-the-Loop)模式,采用人在环上(Human-on-the-Loop)范式——AI 作为研究伙伴,与人类研究者共同进化,逐步内化学术品味与科学判断力。**
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<h3>统一入口,多端体验</h3>
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<h3>⚡ 统一入口,多端体验</h3>
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<table>
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<tr>
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@@ -87,6 +87,7 @@ EvoScientist 超越了传统的人在回路(Human-in-the-Loop)模式,采
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- **[2026 年 3 月 13 日]** 🚀 [**EvoScientist**](https://github.com/EvoScientist/EvoScientist) 正式亮相!
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- **[2026 年 3 月 11 日]** ⛳ 技术报告已上线 👈
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- **[2026 年 3 月 9 日]** 🏆 [ICAIS 2025](https://icais.ai/) AI Scientist Track 6/6 全部中稿 — Best Paper & AI Reviewer's Appraisal Award 👈
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- **[2026 年 3 月 6 日]** 🥇 提交时在 [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 排名第一 👈
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## 📖 目录
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