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阿里云：QoderWork 上线“意识”功能，让 AI 学会记忆、反思和成长
桌面AI助理，用自然语言操控电脑应用和文件，新增“意识”功能让AI学会记忆、反思与自我进化
IT之家 6 月 16 日消息，据阿里云消息，今天，阿里桌面 AI 助理 QoderWork 上线“意识”功能，集成记忆、反思、技能进化三个模块。该功能在保存对话的基础上，可主动整理和淘汰冗余信息，并将高频任务沉淀为可复用的技能。 据介绍，QoderWork 的记忆系统采用分层结构：日常对话先沉淀到…
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SkillChain: Closing the Loop on Skill Evolution for Image-Based E-Commerce AI Assistants
电商AI助手技能自主进化新框架，关闭闭环实现动态成长，图像电商场景再升级。
arXiv:2606.12984v1 Announce Type: new Abstract: Image-based AI assistants are now deployed at production scale on e-commerce platforms, where a single…
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VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation
Agent框架在长视频生成中的能力尚未被检验，VideoWeaver构建评估体系并进化技能，带来新视角。
arXiv:2606.08091v1 Announce Type: new Abstract: Recent agent frameworks such as Claude Code, Codex, and OpenClaw are strong at tool use and orchestrat…
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FederatedSkill: Federated Learning for Agentic Skill Evolution
联邦学习新范式：让多个智能体在隐私保护下协同进化技能，分布式训练不止于模型参数。
arXiv:2606.03143v1 Announce Type: cross Abstract: Modern LLM agents increasingly rely on skill libraries to handle complex tasks, making skill evoluti…
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Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents
给硬件LLM代理装上「验证导航仪」：用Trace2Skill从稀疏失败中提取技能，精准定位复杂Verilog设计bug
arXiv:2605.21810v1 Announce Type: new Abstract: Complex Verilog Design Problems (CVDP) challenge hardware LLM agents because solving them requires loc…
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SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
提出Flow-Driven递归技能进化框架，解决智能体编排中策略崩溃与信用分配难题，为LLM智能体自动化复杂任务提供新思路。
arXiv:2605.14089v1 Announce Type: new Abstract: In recent years, a variety of powerful LLM-based agentic systems have been applied to automate complex…
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NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation
多智能体协同进化技能与记忆，实现个性化研究全流程自动化，直击“为谁自动化”的核心问题。
arXiv:2605.10813v2 Announce Type: replace Abstract: LLM-powered multi-agent systems can now automate the full research pipeline from ideation to paper…