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星期二

  1. Claude Blog精选

    Claude Managed Agents 新增 dreaming、outcomes 与多智能体编排

    Anthropic 在 Claude Managed Agents 中推出研究预览版 dreaming，通过定期回顾历史会话与记忆库提取模式、整理记忆，让智能体跨会话自我改进，开发者可选择自动更新记忆或先审核再落地。同时 outcomes、多智能体编排和 webhooks 向开发者开放：outcomes 由独立 grader 在自身上下文窗口中按评分标准评估输出并让智能体自我修正，内部测试中任务成功率最高提升 10 个百分点，docx 与 pptx 文件生成任务成功率分别提升 8.4% 和 10.1%；多智能体编排让 lead agent 把任务拆给拥有各自模型、提示词和工具的专家子智能体并行处理，并在 Claude Console 中追踪每一步。Harvey、Netflix 平台团队、Every 的 Spiral 和 Wisedocs 已在使用这些能力。

    er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

    匹配字段正文

    #lab#产品更新#Agent#MCP/工具调用

星期四

  1. Augment Code 博客

    Augment Code 用 Cosmos 智能体团队解决代码评审瓶颈

    Augment Code 在 Cosmos 平台上构建了由多个智能体组成的代码评审团队，自动批准低风险变更、逐行分析正确性，仅在需要判断时引入人工。自 1 月以来代码产出提升 3 倍，中位合并时间下降，每单位产出的缺陷率呈下降趋势。

    How Cosmos accelerated our AI-native transformation by removing the code review bottleneck

    of the most time-consuming parts of the SDLC. Before Augment, Akshay spent several years at Uber advancing automated code review and repair systems, and conducted research across AWS’s Automated Reasoning Group, Google’s Android Static Analysis team, and UCLA. His work sits at the intersection of AI, software engineering, and programming-language theory. Will Colbert Member of Technical Staff Will Colbert is a Member of Technical Staff at Augment Code, where he works on Cosmos and Code Review.

    匹配字段正文

    #company#产品更新#Agent#编码

星期三

  1. The Register

    Astera Labs 发布 Scorpio X PCIe 6.0 交换芯片，面向机架级 AI 系统

    Astera Labs 发布代号 Scorpio X 的 AI fabric 交换芯片，单颗 ASIC 集成 320 条 PCIe 6.0 通道，双向带宽 5.12 TB/s，可与几乎任何加速器配合使用。该芯片内置类似 NVSwitch 的网络内计算能力，并针对 MoE 推理推出名为 Hypercast 的多播操作，以减少 GPU 等待网络的时间。Scorpio X 系列与扩展至 32 至 320 通道的 Scorpio P 系列交换芯片目前处于送样阶段，量产预计在 2026 年下半年启动。

    ch, since those GPUs don't support NVLink at all. PCIe also makes it easier to mix and match chips for disaggregated inference architectures, like we've seen with Nvidia and Groq, AWS and Cerebras, or Intel and SambaNova. These architectures involve using one accelerator for compute heavy prefill operations and another for bandwidth intensive decode operations. For this to work, the chips have to be connected to one another. Many AI chip builders are doing this over Ethernet, but PCIe would be m

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    #hot-signal#产品更新#部署/工程#数据/训练
  2. The Register

    Anthropic 为 Claude 发布金融智能体模板

    Anthropic 发布一组金融智能体模板，用于让 Claude 更好地协助金融任务。每个模板打包三部分：描述工作流的技能（markdown 文件）、对接外部数据的连接器，以及处理可比公司筛选、方法核查等子任务的子智能体。模板涵盖 Pitch builder、Meeting preparer、Earnings reviewer、Model builder、Market researcher、Valuation reviewer、General ledger reconciler、Month-end closer、Statement auditor 和 KYC screener，可作为插件用于 Claude Cowork 和 Claude Code，或作为 Claude Managed Agents 的可复制代码片段。Anthropic 称 Opus 4.7 在 Vals AI 的 Finance Agent 基准上得分 64.37%，并期望用户始终留在流程中审核和批准 Claude 的工作。

    tonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raskin's 3 laws of software with humane work that considers a dev's duty of care All this, and angry NeoVim users; Firefox 157: Could bold new look be just what Mozilla needs? Yet another new version of Firefox, with a significant reskin; KDE turns 30 and someone's brought an AI-native desktop proposal Akademy talk imagines Plasma

    匹配字段正文

    #hot-signal#产品更新#Agent#Anthropic

星期四

  1. Claude Blog精选

    Claude Managed Agents 内置记忆功能开启公测

    Anthropic 为 Claude Managed Agents 推出内置记忆层，今日起进入公开测试，智能体可跨会话学习并共享所学内容。记忆以文件形式存储，可直接挂载到文件系统，开发者能通过 API 导出和管理，并配有作用域权限、审计日志与版本回滚。Rakuten 称其长时任务智能体借此将首次通过错误减少 97%，Wisedocs 的文档验证流程提速 30%。

    er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

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    #lab#产品更新#Agent#部署/工程
  2. Claude Blog

    Claude 新增 AllTrails、Instacart、Spotify 等生活类连接器

    Anthropic 为 Claude 扩展连接器，新增 AllTrails、Audible、Booking.com、Instacart、Intuit Credit Karma、Intuit TurboTax、Resy、Spotify、StubHub、Taskrabbit、Thumbtack、Tripadvisor、Uber、Uber Eats 和 Viator 等生活类应用。自 2025 年 7 月上线以来，Claude 连接器目录已增长到 200 多个，覆盖设计、金融、生产力和健康类应用。Claude 现在会在对话中主动推荐合适的应用，并在多个连接器可用时全部列出由用户选择；连接器面向所有套餐开放，移动端处于 beta，完整列表见 claude.ai/directory/connectors。

    er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

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    #lab#产品更新#MCP/工具调用#Anthropic

星期四

  1. Liquid AI 模型与工程博客精选

    Liquid AI 发布 LFM2-24B-A2B 本地工具调用智能体演示 LocalCowork

    Liquid AI 发布开源桌面智能体 LocalCowork，完全在本地运行，模型、工具和数据都不离开设备，无需云端和 API key。在 Apple M4 Max、36 GB 统一内存的笔记本上，LFM2-24B-A2B 以 Q4_K_M GGUF 经 llama-server 部署，占用约 14.5 GB 内存，单次工具选择平均约 385 ms，在 13 个 MCP 服务器共 67 个工具的环境下单步工具选择准确率为 80%，多步链端到端完成率为 26%。该模型已训练 17T tokens，预训练仍在进行，完成后将推出带额外后训练和强化学习的 LFM2.5-24B-A2B。

    nd Transparent Audit Trail: A developer can command LocalCowork to scan a folder for leaked secrets. The model immediately uses the security scanner to identify credentials (e.g., AWS, Stripe API keys) and logs all actions. A subsequent request for the "audit trail" triggers a call to a different server, which rapidly provides a complete log of the scan, including what was found and when. This showcases successful, sub-second chaining of two tool calls across two distinct Model Context Protocol

    匹配字段正文

    #company#教程/实践#Agent#MCP/工具调用

星期五

  1. Suno：Blog

    Suno 发布生成式音频工作站 Suno Studio

    Suno 发布 Suno Studio，称其为全球首个生成式音频工作站，把 AI 生成放在音乐创作的核心位置。Studio 支持多轨时间线编辑、BPM 控制、音量与音高调整，可即时生成人声、鼓、合成器等 stem 变体，并支持上传采样、调用 Suno 曲库或从单个 stem 起步。作品可导出为音频和 MIDI 文件，回到任意 DAW 继续创作；该产品面向 Premier 用户提供桌面版。

    Introducing Suno Studio

    no Studio—the world's first generative audio workstation that fundamentally reimagines how music is created. A New Creative Paradigm While traditional Digital Audio Workstations (DAWs) have served producers well, they've always had one limitation: you can only work with what already exists. Suno Studio changes everything by putting AI-powered generation at the heart of music creation, empowering artists to break through creative barriers and explore infinite musical possibilities. What Makes Sun

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    #company#产品更新#语音

星期三

  1. Transluce

    Transluce 以 Apache 2.0 开源 AI 智能体行为分析工具 Docent

    Transluce 宣布将 AI 智能体行为分析工具 Docent 以 Apache 2.0 许可证开源，开发者可自行部署、查看代码并提交 issue 和 pull request，托管版本仍在其服务器上提供。Docent 用于探索大量智能体对话记录中的异常行为，并能把诸如“模型是否在 reward hacking”这类模糊问题逐步转成精确的行为评分标准，再据此量化该行为出现的频率。Transluce 表示开源是为了让技术接受公开检验，并帮助政府、第三方非营利组织、学术界和 AI 公司等评估者使用和扩展该工具。

    The Docent homepage

    d oversight. As part of this, it is important for our technology to be publicly vetted. That way, researchers across the world can help us improve the technology by pointing out flaws and suggesting improvements. Open-sourcing Docent makes this possible. Additionally, part of our mission is to support the broader ecosystem of AI evaluators. We hope that open sourcing Docent helps other evaluators, across governments, third-party non-profits, academia, and AI companies more easily use and build u

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    #company#开源/仓库#Agent#部署/工程

星期二

  1. vLLM 官方博客

    vLLM 新增对 gpt-oss 的支持

    vLLM 现已支持在 NVIDIA Blackwell、Hopper 以及 AMD MI300x、MI355x GPU 上运行 gpt-oss。其针对 MXFP4 MoE、高效注意力和混合 KV cache 集成了专用内核与内存管理方案，并通过 OpenAI Responses API、gpt-oss toolkit 或外部 MCP 工具服务器支持工具调用。

    go, Marc, vb, Arthur, Mohamed, Andrien. Finally, we want to thank all the partners that leveraged vLLM in some way and delivered valuable feedback and improvements to this effort: AWS, Cloudflare, Snowflake, Databricks, Together, Fireworks, Cerebras. Related Posts Day 0 Support for Qwen3.8-2.4T-A95B on vLLM Day-0 vLLM support for Qwen3.8-2.4T-A95B: a 2.4-trillion-parameter hybrid MoE model served out of the box, with FP8/BF16 checkpoints plus NVFP4 and MXFP4 quantized weights, and co-developed k

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    #engineering#产品更新#部署/工程#MCP/工具调用

星期三

  1. Sarvam AI Blog精选

    Sarvam AI 发布支持 10 种印度语言的全栈生成式 AI 平台

    Sarvam AI 发布全栈生成式 AI 平台，支持 10 种印度语言并具备语音能力，同时推出 Sarvam Agents、Sarvam 2B、Shuka 1.0 等产品。Sarvam Agents 可通过电话、WhatsApp 或应用内调用，语音智能体价格从每分钟 1 卢比起。Sarvam 2B 称是印度首个开源 2B 小规模 Indic LLM，基于 4 万亿 token 内部数据集从零训练；Shuka 1.0 为基于 Llama 8B 扩展的开源 AudioLM，支持印度语言语音输入与文本输出。

    Sarvam product launch

    s, not just provide information, simplifying daily life for users. Finally, AI development must respect India's sovereignty, keeping data within the country and adhering to local laws. Vivek Raghavan, Co-Founder of Sarvam AI,said "We are thrilled to unveil our full-stack GenAI platform, which marks a pivotal moment for Sarvam AI and the Indian AI ecosystem. This launch is just the beginning of our journey. We will continue to enhance the capabilities of our platform with new features to ensure i

    匹配字段正文

    #company#产品更新#语音#多模态

星期二

  1. vLLM 官方博客

    vLLM 宣布支持 Llama 3.1 系列模型

    vLLM 已支持 Llama 3.1 系列模型，可运行完整的 128K 上下文窗口，并通过分块预填充控制内存占用。针对 Llama 3.1 405B，vLLM 支持 FP8、流水线并行、张量并行和 CPU 卸载；在无 InfiniBand 的 16 GPU 环境中，2 路流水线并行结合 8 路张量并行相比 16 路张量并行获得 6.6x 性能提升。

    o-use, open-source serving engine for large language models. vLLM has support for more than 40 types of open-source LLMs, a diverse set of hardware platforms (Nvidia GPU, AMD GPU, AWS Inferentia, Google TPU, Intel CPU, GPU, Gaudi, …) and all kinds of inference optimizations. Learn more about vLLM here. For the new Llama 3.1 series, vLLM can run the models with a full 128K context window. In order to support a large context window, vLLM automatically enables chunked prefill. Chunked prefill not o

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    #engineering#产品更新#部署/工程#开源生态