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快讯，企业 AI 初创公司 Hone 正式推出 Engines，并完成 6000 万美元种子轮融资，由 Benchmark 和 Index Ventures 领投。Engines 能长期负责企业设定的业务目标，例如提高销售转化率、降低采购成本。\n企业设定目标后，Engine 会了解内部系统、历史数据和工作流程，自行创建所需的 Agent 和工具，再与员工协作完成工作。它还会根据反馈持续调整，无需人工反复下达任务。\nEngine 可以修改自己的工具、代码和记忆，但改动上线前要先通过模拟测试。系统会模拟同事回复和业务系统的变化，把数周工作压缩到几分钟内重跑，检查有没有把原本正常的功能改坏。Hone 称，在 125 个内部测试场景中，修改引发问题的比例从 33% 降至 5%。\nHone 创始人 Moritz Stephan 曾参与开发 Devin 的核心规划与执行系统。Cognition 和 AI 推理平台 Modal 已成为其早期客户。",1791529620000,null,"Fri Oct 09 2026 07:07:00 GMT+0000 (Coordinated Universal Time)",{"id":21,"title":22,"content":23,"publishTime":24,"important":9,"sourceName":10,"language":18,"dateString":25},206742,"Devin开始每天「做梦」：自动整理长期记忆，方案已开源","动察 Beating AI 快讯，AI 编程公司 Cognition 给 Devin 上线 Memory 和 Dreaming。Memory 负责让 Devin 跨会话记住用户的偏好、纠正和项目经验；Dreaming 则每天在后台重新整理这些记忆。用户可以直接查看 Devin 记住了什么，也能看到 Dreaming 最近做过哪些修改。\n这些记忆保存在个人 Memory Drive，本质上是一个持久化的 Git 仓库，内容主要以 Markdown 文件组织。其中有一个简短的 MEMORY.md 作为入口和索引，每次新会话开始时先放进上下文。Devin 再根据当前任务搜索相关记忆文件，和搜索代码库类似，不需要把整个记忆库都塞进 prompt。\n多个 Devin 会话可以同时读写同一套记忆。每个会话都有自己的 Git checkout，修改记忆后再提交并合并回 Memory Drive。遇到并发修改时，Git 会暴露冲突，避免不同会话互相覆盖。\nDreaming 本身是一个每天自动运行的后台 session。它会重新检查过去的对话和现有记忆，合并重复内容、删除临时或长期没再用过的信息，还会补出此前没有记录下来的经验。\nCognition 还把这套方案独立成 Agent Memory Repo 并开源。Claude Code、Cursor 等其他 Agent 也可以用类似方式，把长期记忆存成文件并通过 Git 管理。不过开源版提供的是这套记忆结构和工作流程，像 Devin 这样每天自动运行 Dreaming，仍需要额外配置。",1791294360000,"Tue Oct 06 2026 13:46:00 GMT+0000 (Coordinated Universal Time)",{"id":27,"title":28,"content":29,"publishTime":30,"important":9,"sourceName":10,"language":18,"dateString":31},199223,"Devin再砍30%到40%使用成本，Fusion自家基准登顶","动察 Beating AI 快讯，AI 编程公司 Cognition 给旗下编程 Agent Devin 做了一轮大幅降耗。Devin 可以自己读代码、改代码、跑测试并完成开发任务。它的 Fusion 和 Normal 模式使用成本下降 30% 到 40%，Ultra 下降 15% 到 20%，Devin Review 最高下降 70%。\n其中 Fusion 是 Devin 的多模型协作模式，会让能力更强的模型负责规划和检查，再把具体执行交给成本更低的模型。Cognition 这次还优化了执行框架，把多个命令合并到一次调用，并行执行互不依赖的步骤，同时更多利用上下文缓存，减少重复计算和模型调用。\n成本下降的同时，Cognition 公布的自测成绩也提高了。在其自建的 FrontierCode 1.1 Extended 上，Devin Fusion 得到 68.8 分，平均每个任务成本 0.60 美元，目前排名第一。",1790652180000,"Tue Sep 29 2026 03:23:00 GMT+0000 (Coordinated Universal Time)",{"id":33,"title":34,"content":35,"publishTime":36,"important":9,"sourceName":10,"language":18,"dateString":37},194954,"Devin自己搭了套Mac云，iOS App写完自己跑、自己测","动察 Beating AI 快讯，AI 编程公司 Cognition 给 Devin Cloud 加入了 macOS。Devin 现在可以直接在云端使用 Xcode 和 iOS Simulator，开发 iPhone、iPad 和 Mac App。代码写完后，它还能自己打开应用、点击界面、检查结果，录下测试视频，并生成 TestFlight 链接。\n为了让 Mac 直接跑进 Devin Cloud，Cognition 自己搭了一套 macOS 虚拟化环境。底层使用 AWS 的物理 Mac，再通过苹果的 `Virtualization.framework` 启动 macOS VM。会话文件可以保存和恢复，网络权限、开发环境预热和远程操作也全部由 Cognition 自己管理。\nDevin 其实两个月前就能通过 Outposts 使用 Namespace 的真 Mac，当时走的还是「外接」路线。Cursor 本月也这么做，由 Namespace 给每个 Cloud Agent 拉起一台 M5 Mac。Devin Cloud 这次则把 Mac 环境直接做进了自家云端，不再需要另外接一套 Mac 执行环境。",1789555980000,"Wed Sep 16 2026 10:53:00 GMT+0000 (Coordinated Universal Time)",{"id":39,"title":40,"content":41,"publishTime":42,"important":9,"sourceName":10,"language":18,"dateString":43},192750,"Cognition拿Kimi K3炼出SWE-2：逼近Astra，成本仅1\u002F4","动察 Beating AI 快讯，Coding Agent Devin 母公司 Cognition 发布新编程模型 SWE-2。它直接基于月之暗面 2.8T 参数的 Kimi K3 继续做强化学习，进一步训练后，多项编程评测又提高约 5 到 6 个百分点。\n在 Cognition 自家的 FrontierCode 1.1 Main 上，SWE-2 得分 50.0%，超过 GPT-5.6 Sol 的 47.5% 和 Grok 4.6 的 48.0%。它距离 Fable 5.1 的 50.9% 只差 0.9 个百分点，但成本低 64%。GPT-6 Astra 得分 53.3%，SWE-2 与其相差 3.3 个百分点，成本约为四分之一。\nSWE-2 也比上一代少走很多弯路。中等推理强度下，它完成任务的交互轮数减少 58%，平均成本下降 81%。不过在更难的 Terminal-Bench 4 上，SWE-2 只有 27.3%，明显低于 Astra 的 57.9% 和 Fable 5.1 的 55.8%，还谈不上全面追平前沿模型。\nSWE-2 已上线 Devin Desktop 和 CLI，并开始推向 Devin Web 和 Fusion。",1789084800000,"Fri Sep 11 2026 00:00:00 GMT+0000 (Coordinated Universal Time)",{"id":45,"title":46,"content":47,"publishTime":48,"important":9,"sourceName":10,"language":18,"dateString":49},198225,"Ando融资2000万美元：重做Slack，让Agent直接当同事","动察 Beating AI 快讯，Ando 结束隐身并融资 2000 万美元，要从头做一个给人和 AI Agent 共用的「新 Slack」。本轮资金来自 Accel、Index Ventures 和 Emergence。\nAndo 仍然有频道、私信、群聊和语音通话，但 Agent 有自己的身份、权限和收件箱。它们可以自己浏览和加入频道，不需要人类每次 @ 才工作，也可以主动找其他同事沟通。Codex、Claude、Grokbot、Devin 等不同 Agent 都能接入，没有现成 Agent 的团队也可以直接使用 Ando 托管的版本。\nAndo 自己已经完全停用 Slack。比如有人在聊天里报 Bug 后，Agent 可以自己接单、把移动端任务转给另一个 Agent，再由第三个 Agent 审查代码；不同频道同时讨论同一个问题时，Agent 也能主动把相关人员拉到一起，并补齐上下文。\n目前已有软件、房地产和金融等行业的团队在 15 个国家使用 Ando。",1790315340000,"Fri Sep 25 2026 05:49:00 GMT+0000 (Coordinated Universal 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