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• 0512日报 | Agent治理层快速产品化

  AI 产品日报 | 2026-05-12

  🔬 422产品实验室 · AI新产品日报 · 每日精选

  今日洞察

  今天最值得关注的信号是「Agent的可观测性与治理层」正在快速产品化。Metorial（YC F25）拿到59个HN赞——它做的是「Vercel for MCP」，为Agent构建统一的身份认证、权限管理和审计层。re_gent以121个HN赞切入「AI Agent的版本控制」，让你追溯每行代码是哪个prompt写的、一键回滚。React Doctor以8K+ Star定位在「AI写坏React的体检中心」。三个产品从不同角度解决同一个问题：Agent越自主，人类越需要知道它干了什么、能干什么、干砸了怎么回退。与此同时，OpenHuman用桌面吉祥物+记忆树探索「AI超级智能」的交互范式，AiToEarn以10K+ Star证明「AI内容营销」在国内创作者市场的巨大需求。对创业者来说，今天的核心判断是：Agent治理（身份、权限、审计、版本控制、质量检测）正在从「可选的安全层」变成「必选的基础设施层」——每一条都对应一个独立品类。

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  1. Metorial (YC F25) — Agent的身份与权限控制平面，「Vercel for MCP」（HN 59pts）

  融资信息：Y Combinator F25（2025年冬季批次），开源

  做什么的：为AI Agent构建统一的身份认证、权限管理和可观测性控制平面——1200+集成、OAuth/API Key/Service Account统一管理、RBAC/SAML SSO/IAM内置、每个Agent的每次操作都有审计日志。一个API连接所有SaaS和企业系统。

  为什么值得关注： - 「Agent能访问什么、做了什么」不再靠口头约定：Metorial坐在Agent和外部系统之间，统一处理认证、权限和审计。哪个Agent用了谁的凭据、做了什么操作——全部可追溯。这让CISO终于能睡个好觉 - 1200+集成覆盖几乎所有主流SaaS：不是又一个MCP Server市场，而是身份和权限的抽象层——Agent只需一个连接URL，Metorial处理OAuth流、Token生命周期、权限范围。开发者写一个API，所有集成都能用 - MCP原生的安全架构：不是在现有工具上加壳，而是从MCP协议层面设计权限模型。每个MCP Server可以定义细粒度的访问策略，Agent的每个工具调用都经过权限检查 - 自托管+云托管双模式：Metorial Platform完全开源可自托管（类似Supabase vs Firebase的定位），企业数据不离开自己的网络 - 创业者启示：「Agent的安全与治理」是一个有明确买家（企业安全团队、CISO）的市场。当企业考虑在生产环境部署Agent时，最大的阻力不是Agent能力不够，而是「Agent出了问题谁负责」。Metorial做的就是消除这个阻力。类似企业在采用SaaS前需要SSO和审计一样，Agent也需要

  类比参考：Agent版的「Okta + Vercel」——Okta管身份，Vercel管部署，Metorial管Agent的身份和权限。或者「MCP世界的零信任网关」

  🔗 GitHub | 官网 | 平台

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  2. re_gent — AI Agent的版本控制，每行代码追溯到具体prompt（⭐ 413，HN 121pts）

  融资信息：开源项目（Apache 2.0），Go语言构建，2026年4月创建

  做什么的：为AI编码Agent设计的版本控制系统——自动追踪Agent的每次工具调用（编辑、写入、Shell命令），记录哪个prompt导致了哪行代码的变更，支持blame和一键回滚。Claude Code兼容，Homebrew一键安装。

  为什么值得关注： - 「谁写了这行代码？哪个prompt？」——终于有了答案：rgt blame src/file.go:42 直接告诉你这行代码是Agent在处理哪个prompt时写的，当时的上下文是什么。这是Git blame的Agent版本 - 自动追踪，零侵入：不需要Agent主动commit——re_gent在底层自动捕获每次工具调用。你正常用Claude Code，re_gent在后台默默记录一切。rgt init一条命令即可 - 一键回滚Agent的错误操作：Agent把代码改坏了？rgt rewind回退到任意步骤。不再是「让Agent自己修」，而是人类有完整的撤销能力 - Go语言单二进制，Homebrew安装：brew tap regent-vcs/tap && brew install regent——零依赖，跨平台。工程品质很高 - 创业者启示：「Agent操作的版本控制」是一个被严重低估的基础设施需求。当Agent从「偶尔生成一段代码」变成「持续在代码库中工作」时，Git本身的commit粒度远远不够——你需要知道的是「哪次prompt导致了什么变更」。re_gent把prompt→action→code change的链条完整记录下来

  类比参考：AI Agent版的「Git blame + Time Machine」——不只是记录代码变了什么，还记录是哪个prompt导致的变更。或者「Claude Code的飞行数据记录器」

  🔗 GitHub | Homebrew安装

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  3. OpenHuman — 桌面AI超级智能，带吉祥物和记忆树（⭐ 1,464，Rust构建）

  融资信息：开源项目，tinyhumans.ai出品，Early Beta阶段

  做什么的：开源桌面AI超级智能助手——118+第三方集成（Gmail、Notion、GitHub、Slack等），一键OAuth连接后自动每20分钟同步数据到本地记忆树，桌面吉祥物会说话、会反应、能加入Google Meet作为参会者。Rust构建，本地优先。

  为什么值得关注： - 「让Agent在几分钟内了解你」而非「几周后才有用」：OpenHuman的设计哲学是消除冷启动时间——连接你的账号，auto-fetch每20分钟拉一次数据，Memory Tree自动压缩为Obsidian兼容的Markdown文件。第一次同步后，Agent就拥有了你收件箱、日历、代码库、文档的完整上下文 - 桌面吉祥物不是噱头，是交互范式：吉祥物有脸、会说话、能加入视频会议。这解决了一个真实问题——用户需要一个「存在感」来信任和理解Agent的状态。当Agent在后台思考时，吉祥物在屏幕上给你反馈 - Token压缩层（TokenJuice）节省80%成本：每个工具调用的结果、邮件正文、搜索内容都经过token压缩层——HTML转Markdown、长URL缩短、非ASCII字符移除。同样的信息，更少的token - 模型路由：推理任务用贵模型，简单任务用便宜模型：一个订阅下自动路由到合适的LLM——推理、快速、视觉三种模型自动切换。也支持Ollama本地模型 - 创业者启示：「桌面端的AI超级智能」是一个正在形成的品类——与Cursor（编码）、Claude（对话）不同，OpenHuman想做的是「覆盖你全部数字生活的AI」。它的核心壁垒是记忆树——你的所有数据、所有上下文都沉淀在本地SQLite中，迁移成本极高

  类比参考：桌面版的「贾维斯（Jarvis）」——有形象、有记忆、接入你所有服务。或者「Obsidian + Zapier + 语音助手的合体，但由AI驱动」

  🔗 GitHub | 官网 | 文档

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  4. React Doctor — AI写的React代码体检中心，0-100健康评分（⭐ 8,053）

  融资信息：开源项目，millionco出品，TypeScript构建

  做什么的：一键扫描React代码库，输出0-100健康评分和可操作的诊断建议。覆盖状态与副作用、性能、架构、安全、可访问性、死代码六个维度。支持Next.js、Vite、React Native。还能安装为AI编码Agent的Skill。

  为什么值得关注： - 精准定位：「Your agent writes bad React. This catches it.」——这个Slogan直击痛点。AI编码Agent能写React代码，但写的React代码经常违反最佳实践。React Doctor不做代码生成，专门做「AI生成代码的质量守门员」 - 8K+ Star说明需求真实：React开发者群体巨大，AI编码的普及让「AI写出来的React代码质量」成为一个普遍问题。一条命令 npx react-doctor@latest . 即可扫描 - 智能规则切换：规则会根据你使用的框架（Next.js/Vite/React Native）和React版本自动调整。不是一刀切的linter，而是理解你上下文的质量评估 - Agent Skill模式：可以安装为Claude Code/Copilot的Skill，让Agent在写代码时就遵循React最佳实践，而不是写完再修。「预防>治疗」 - 创业者启示：「AI生成代码的质量检测工具」是一个正在爆发的品类——React Doctor只是一个开始。这个模式可以复制到任何框架：Vue Doctor、Python Doctor、SQL Doctor……核心洞察是：AI让代码生成变便宜了，但代码审查和质量控制的成本没变——工具化是唯一解

  类比参考：React版的「ESLint + SonarQube」，但专门为AI生成的代码设计。或者「AI编码Agent的质量检测员」

  🔗 GitHub

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  5. Agent of Empires — 多Agent会话管理器，手机也能监控编码Agent（⭐ 2,175，HN 118pts）

  融资信息：开源项目，Rust构建，个人开发者njbrake出品

  做什么的：统一管理多个AI编码Agent（Claude Code、OpenCode、Codex CLI、Gemini CLI、Mistral Vibe、Copilot CLI等）的会话管理器——TUI和Web双界面，基于tmux和git worktrees实现并行开发，支持手机浏览器远程监控。

  为什么值得关注： - 「让10个Agent同时编码」变得可管理：基于tmux管理多个Agent会话，基于git worktrees实现代码隔离——每个Agent在自己的worktree上工作，互不干扰。Agent A编辑了Agent B读过的文件，B会收到通知 - Web界面 = 手机也能看：TUI适合终端重度用户，Web界面适合手机/平板远程监控。让Agent在服务器上跑，手机上随时查看进度——这才是「Agent替你工作」的正确体验 - 支持几乎所有主流编码Agent：Claude Code、OpenCode、Codex CLI、Gemini CLI、Mistral Vibe、Pi.dev、Copilot CLI、Factory Droid Coding——一个管理器管所有 - 最新支持multi-repo workspace：刚刚更新了多仓库工作区支持，一个项目跨多个repo也能统一管理 - 创业者启示：「多Agent编排的管理界面」是一个明确的刚需——当开发者同时启动多个Agent处理不同任务时，「谁在干什么、进度如何、有没有冲突」就成为核心问题。Agent of Empires做的不是Agent本身，而是Agent的「指挥中心」

  类比参考：AI编码Agent版的「tmuxinator + 指挥中心」——或者「手机可访问的Claude Code多任务管理器」

  🔗 GitHub

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  6. AiToEarn — 一人公司的AI内容营销智能体，自动分发12+平台（⭐ 10,768）

  融资信息：开源项目（TypeScript），国内团队yikart出品

  做什么的：面向OPC（一人公司）的AI内容营销智能体——AI自动创作内容并一键分发到抖音、小红书、快手、B站、TikTok、YouTube、Instagram、Twitter等12+平台。支持自动发布、定时发布、多平台同步。

  为什么值得关注： - 10.7K Star，国内AI内容营销领域最受关注的开源项目——这说明「用AI做内容营销并变现」是国内创作者的刚需中的刚需 - 覆盖全球主流平台：国内（抖音、小红书、快手、B站、视频号）+ 海外（TikTok、YouTube、Instagram、Twitter、Pinterest、LinkedIn、Facebook、Threads）——一套内容，12+平台自动分发 - 从创作到分发的全链路：不只是AI写作工具，而是「AI创作→多平台适配→自动发布→数据追踪」的完整工作流。省掉的是「同一个视频调不同尺寸发不同平台」这种体力活 - 5种使用方式：网页版直接用、OpenClaw集成、Claude/Cursor集成、桌面应用、API调用——降低了使用门槛 - 创业者启示：「一人公司的AI运营工具」在国内是一个巨大的市场。大量个体创作者和小团队需要「用AI替代运营团队」——从内容创作到多平台分发到数据分析，每一环都有产品化机会。AiToEarn的10K+ Star说明这个需求极其强烈

  类比参考：AI版的「Buffer + Canva + 剪映」——从创作到分发一条龙。或者「国内版Opus Clip + 多平台自动分发」

  🔗 GitHub

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  7. Browser4 — 面向AI的协程安全浏览器引擎（⭐ 1,045，Kotlin构建）

  融资信息：开源项目，PlatonAI出品，Kotlin构建

  做什么的：专为AI Agent设计的高性能浏览器引擎——协程安全、支持自主浏览Agent、工作流自动化、X-SQL查询、高速并行处理、自动数据提取。性能远超传统Playwright/Puppeteer方案。

  为什么值得关注： - 「给AI Agent造一个专用浏览器」——不是在Chrome上加自动化层（如Playwright），而是从头设计一个为Agent优化的浏览器引擎。协程安全意味着多个Agent可以同时操作浏览器而不互相干扰 - X-SQL：用SQL查询网页：Agent可以用SQL语句直接查询网页数据——SELECT title, price FROM products WHERE price < 100。这比让LLM解析HTML再提取数据要高效得多 - 高性能并行处理：传统方案是串行加载页面、等待渲染、提取数据。Browser4支持协程级并行——一个Agent可以同时处理数十个页面 - 自主浏览Agent：不只是自动化脚本，而是能自主推理、规划、执行的浏览器Agent——理解页面内容、做出决策、执行操作 - 创业者启示：「Agent专用的基础设施」正在深入到每一层——Agent需要自己的数据库（向量数据库）、自己的文件系统（Tilde.run）、自己的版本控制（re_gent）、现在连浏览器都有了专用的引擎。Browser4的思路可以复制到其他Agent基础设施

  类比参考：AI Agent版的「无头Chrome」——但不是去掉UI的Chrome，而是为Agent从头设计的浏览器。或者「Playwright的Agent原生替代」

  🔗 GitHub | 文档

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  8. Webhound (YC S23) — 长时间运行的自主研究Agent，从网页构建数据集（HN 112pts）

  融资信息：Y Combinator S23（2023年夏季批次），已上线产品

  做什么的：长时间运行的自主AI研究Agent——给定一个研究任务，Agent自主浏览网页、提取数据、构建结构化数据集。不需要人类逐步指导，Agent自己规划搜索策略、判断信息质量、整理最终输出。

  为什么值得关注： - 「研究任务可以放手让Agent跑几小时」——与需要人类持续监督的对话式AI不同，Webhound设计为长时间自主运行。你给一个研究任务，几小时后拿到结构化的研究结果 - 从网页到结构化数据集的全自动：不是简单的网页摘要，而是将非结构化的网页信息转化为结构化的、可分析的数据集。这对市场研究、竞品分析、行业调研有直接价值 - YC S23批次的毕业生——说明这个方向在2023年就被YC认可，经过近3年打磨已经产品化 - 创业者启示：「自主研究Agent」在B2B场景有明确的付费意愿——市场研究公司、咨询公司、投资机构每天都在做「从网页提取信息并结构化」的工作。如果Agent能做到人类80%的质量但只需要20%的时间，这就是一个可收费的产品

  类比参考：AI版的「McKinsey初级分析师」——你给一个研究方向，它自主收集资料、整理分析、输出结构化报告。或者「Perplexity的深度研究模式，但是全自动」

  🔗 官网

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  📊 今日趋势总结

  趋势	信号
  🔐 Agent治理层产品化	Metorial (YC F25) 做Agent身份权限、re_gent做Agent版本控制——Agent越自主，治理需求越强
  🩺 AI代码质量检测崛起	React Doctor 8K+ Star——AI让代码生成变便宜，质量控制成新刚需
  🖥️ 桌面AI超级智能探索	OpenHuman桌面吉祥物+记忆树，探索Agent的全新交互范式
  📱 Agent管理移动化	Agent of Empires支持Web界面手机监控——Agent在服务器跑，人类在手机上看
  🌐 Agent专用基础设施深化	Browser4做Agent专用浏览器引擎——基础设施层持续分化
  📣 AI内容营销工具在国内爆发	AiToEarn 10K+ Star——一人公司用AI做内容分发是刚需
  🔬 自主研究Agent进入产品化	Webhound (YC S23) 让研究任务全自动运行——B2B研究场景有付费意愿

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• 0511日报 | Agent基础设施层全面爆发

  AI 产品日报 | 2026-05-11

  🔬 422产品实验室 · AI新产品日报 · 每日精选

  今日洞察

  今天的信号指向一个关键词：「Agent的操作基础设施」正在爆发。GitHub Trending上GenericAgent用10.4K Star证明了「自我进化Agent」的可行性——不是预装技能，而是每次解决问题后自动结晶为可复用的技能树。WUPHF把多Agent协作做成了「AI版Slack办公室」，让Agent之间的协作可见、可追溯。oMLX用13.2K Star解决了Mac本地推理的核心痛点——KV缓存从内存溢出到SSD分级存储。Akmon为受监管行业（航天、医疗、金融）打造了「可审计的AI编码Agent」。与此同时，Platos开源了Claude Managed Agents的替代方案，Tilde.run为Agent提供了事务性文件系统。对创业者来说，今天最清晰的信号是：Agent生态的竞争焦点已经从「做Agent」转向「做Agent运行的基础设施」——记忆、版本控制、审计、沙箱、推理后端，每一层都在催生独立品类。

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  1. GenericAgent — 自我进化的Agent，3K行种子代码长出完整技能树（⭐ 10,400）

  融资信息：开源项目（MIT协议），lsdefine出品，已发论文（arXiv: 2604.17091）

  做什么的：极简自进化Agent框架——核心仅~3K行代码，通过9个原子工具+~100行Agent Loop，让任何LLM获得系统级控制能力（浏览器、终端、文件系统、键盘鼠标、手机ADB）。每次解决新任务后自动结晶为可复用技能，使用越久技能树越丰富。

  为什么值得关注： - 「不预装技能，而是进化技能」的设计哲学：与预定义工作流的Agent框架（如LangGraph）完全不同，GenericAgent从一个3K行的种子开始，每解决一个问题就自动生成一条技能——「读微信消息」「监控股票」「通过Gmail发文件」变成一键调用。几周后你拥有的技能树全世界独一无二 - Self-Bootstrap Proof——整个仓库从安装Git到每一次commit，全部由GenericAgent自主完成，作者从未打开过终端。这是目前最强的「Agent自主开发」证明之一 - 极低Token消耗：<30K上下文窗口，仅为同类Agent（200K-1M）的一小部分。分层记忆确保正确知识始终在作用域内——噪声少、幻觉少、成功率高 - 全系统控制：注入真实浏览器（保留登录态）、ADB控制手机、键盘鼠标输入——不是API调用，而是直接操控 - 创业者启示：「自我进化Agent」代表了一个新的技术路线——不是做更复杂的Agent框架，而是让Agent在使用中自然积累能力。这背后的核心洞察是：Agent的价值不在框架本身，而在它积累的技能树。技能树是不可迁移的资产，这就是壁垒

  类比参考：AI Agent版的「乐高」——给你基础积木（3K行），自己拼出完整世界。或者「会学习的AutoHotkey」

  🔗 GitHub | 论文 | 教程

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  2. WUPHF — AI员工的Slack办公室，共享大脑、可见协作（⭐ 983）

  融资信息：开源项目（MIT协议），Nex.ai出品，Show HN本周产品榜#1

  做什么的：AI员工的协作办公室——CEO、PM、工程师、设计师、CMO、CRO等Agent角色在一个共享空间里工作，可见地争论、认领任务、交付成果。所有Agent共享一个知识库（Knowledge Graph），永远不会丢失上下文。支持Claude Code、Codex、OpenClaw等Agent后端。

  为什么值得关注： - 「AI员工可见化」解决了Agent最大的信任问题：大多数Agent框架的运作是黑盒——你给任务，它给你结果，中间过程完全不可见。WUPHF让Agent像真人一样在Slack频道里讨论、争论、认领任务，整个过程透明可追踪 - 共享大脑≠共享上下文：WUPHF的知识图谱不是简单地把所有对话塞进prompt，而是结构化的Markdown Wiki（兼容Obsidian）——Agent A学到的知识，Agent B可以直接查询和使用。这是一个真正的「组织记忆」 - 一条命令启动整个办公室：npx wuphf，浏览器自动打开，#general频道、Agent团队、任务面板全部就绪。预置5种Agent Pack（starter、founding-team、coding-team、lead-gen-agency、revops） - 支持多种Agent后端：Claude Code默认，Codex CLI可选，还有opencode和ollama（本地模型）。Agent层和推理层解耦 - 创业者启示：「多Agent协作的UI/UX」是一个被严重低估的方向。技术层（多Agent编排）已经有LangGraph、AutoGen等，但让人类看见、理解和干预Agent协作的界面几乎没有。WUPHF做的是「Agent协作的操作系统」

  类比参考：AI版的「Slack + Asana」——但员工全是AI，共享一个不会遗忘的大脑。或者「Notion AI的多人协作版，但协作者是Agent」

  🔗 GitHub | 官网 | Product Hunt

  ---

  3. oMLX — Mac本地LLM推理服务器，SSD分级缓存让上下文不再爆内存（⭐ 13,200）

  融资信息：开源项目（Apache 2.0），个人开发者jundot出品

  做什么的：专为Apple Silicon优化的LLM推理服务器——持续批处理（Continuous Batching）+ SSD分级KV缓存，从macOS菜单栏管理。内存放不下的KV缓存自动溢出到SSD，即使上下文切换也保留历史缓存可复用。

  为什么值得关注： - 解决了Mac本地推理的核心痛点：用Claude Code等编码Agent在Mac上跑本地模型，最头疼的是上下文一长就OOM。oMLX的热内存层+冷SSD层设计让KV缓存可以远超物理内存限制——即使对话中途切换上下文，过去的缓存依然可用 - 菜单栏管理，开发者体验极好：下载.dmg拖进Applications即用。常用模型常驻内存，大模型按需自动换入换出，上下文限制可自定义。支持MCP协议，可与Claude Code等工具集成 - Homebrew一键安装：brew tap jundot/omlx && brew install omlx，也支持brew services start omlx后台运行 - 对比MLX的差异化：MLX是Apple官方的推理框架，oMLX是开发者友好的「推理服务器」——持续批处理、SSD缓存、菜单栏管理、MCP集成，解决的是「日常使用」而非「跑benchmark」 - 创业者启示：Apple Silicon开发者是一个被低估的细分市场。M系列芯片的统一内存架构让本地LLM推理成为可能，但软件体验还很粗糙。谁能让「Mac上跑本地模型」像「Mac上跑Docker」一样顺滑，谁就拥有这个生态的入口

  类比参考：LLM推理版的「Docker Desktop for Mac」——菜单栏管理，后台服务，一键启停。或者「MLX的OS-level封装」

  🔗 GitHub | 官网 | Benchmarks

  ---

  4. UltraCompress — 首个数学无损的5-bit LLM压缩，已验证22种架构（新产品发布）

  融资信息：开源项目（Apache 2.0），SipsaLabs出品，已申请USPTO临时专利

  做什么的：首个声称实现「数学无损」的5-bit LLM量化压缩——通过网格搜索量化（GSQ）+ 低秩校正（rank=32），在22种架构上实现了PPL偏差<1%的压缩。包括Hermes-3-Llama-3.1-405B（目前最大密集模型压缩），SHA-256验证可精确重建原始权重。

  为什么值得关注： - 「数学无损」vs「感知无损」的区别很关键：传统量化（GPTQ、AWQ）接受一定精度损失。UltraCompress通过5-bit GSQ编码+逐块absmax缩放+低秩残差校正，实现了密码学级别的精确重建——uc verify命令可以验证每一个权重位 - 22种架构全面覆盖：从Phi-3-mini-3.8B到Hermes-3-405B，包括Mamba-2.8B（首个公开的状态空间模型压缩）。最紧的PPL比率是Phi-3的1.00262x——几乎零损失 - 405B模型压缩到250GB：Hermes-3-Llama-3.1-405B压缩为250GB的v3 pack，可在单张32GB GPU上通过流式推理运行。这意味着405B级模型不再需要多卡集群 - 诚实的负面结果文档：公开记录了13个失败实验（自适应bpw被推翻、SVD热启动效果更差等），这种透明度在AI工具中极其罕见 - 创业者启示：LLM推理成本是一个巨大的商业赛道。如果5-bit无损压缩成立，推理成本直接降低60%+（从bf16的16-bit到5-bit）。这对边缘部署、移动端推理、成本敏感的SaaS产品影响巨大

  类比参考：LLM版的「FLAC无损音频压缩」——保留数学精度的同时大幅减小体积。或者「模型推理的zip -9」

  🔗 GitHub | PyPI | HuggingFace | 官网

  ---

  5. NanoCorp — 创建AI自主运营的公司，Agent雇佣员工、执行任务、跑广告（新产品发布）

  融资信息：Phospho Inc.出品，免费层含3个credits

  做什么的：创建由AI Agent自主运营的公司——定义使命、AI自动雇佣Agent、按计划执行任务、定期汇报。即将推出自主运行Google搜索广告功能。

  为什么值得关注： - 「AI公司」从概念变成产品：不是AI辅助人类运营公司，而是AI自己运营一家公司。定义使命后，Agent自动分配角色、制定计划、执行任务、汇报结果。你在仪表盘上看到的是「公司帝国的控制台」 - 自主广告投放即将上线：NanoCorp计划让AI Agent自主管理Google搜索广告——设定预算后，AI自动写广告文案、选关键词、优化出价。这是「AI自主创收」的第一步 - 实时监控整个「企业集团」：一个仪表盘追踪所有AI公司的Agent、任务和结果。你可以同时运营多家AI公司 - 创业者启示：「AI自主运营的经济实体」是一个极具争议但值得关注的方向。如果Agent可以自主完成「接单→生产→交付→收款」的全闭环，人类创业者的角色将从「执行者」变为「投资者/监督者」。这个产品虽然还早，但它探索的边界非常有价值

  类比参考：AI版的「模拟城市」——但城市是真的，经济活动是真的。或者「一人公司的AI版，但连那个人都没有」

  🔗 官网 | Discord社区

  ---

  6. Akmon — 可审计的AI编码Agent，为监管行业而生（新产品发布）

  融资信息：开源项目（Apache 2.0），个人开发者radotsvetkov出品，Rust单二进制文件

  做什么的：面向受监管行业的AI编码Agent——每次会话记录为防篡改、内容寻址、可回放的事件日志（加密链完整性），支持字节级回放验证和可导出的合规证据包。

  为什么值得关注： - 解决了「AI做了什么」这个监管核心问题：在航空航天（DO-178C）、医疗器械（IEC 62304）、汽车（ISO 26262）、金融（SOC 2）等行业，「AI改了代码」不能作为合规答案。Akmon的每次prompt、模型响应、工具调用、文件修改都以加密链记录，可回溯、可验证、可导出为证据 - v2.0.0的完整会话生命周期：run（正常会话）→ replay（确定性回放）→ diff（会话对比）→ bundle（便携AGEF归档）→ audit（加密链验证）→ evidence（合规证据生成）。这不是功能列表，是完整的合规工作流 - Rust单二进制文件：无依赖、无运行时、跨平台。curl | chmod即用。在监管环境中，「简单可审计的工具链」本身就是卖点 - 类型化权限检查：写入、Shell、网络访问都有独立的类型化权限检查。不是「信任AI不要搞砸」，而是「AI根本无法做未经授权的事」 - 创业者启示：「监管行业的AI工具」是一个有明确买家的市场。当大多数AI工具追求「更快更强」时，Akmon追求的是「可证明地安全」。这个思路可以复制到法律AI（可审计的法律文书生成）、金融AI（可追溯的交易决策）、医疗AI（可回溯的诊断过程）

  类比参考：AI编码Agent版的「飞行数据记录器（黑匣子）」——记录一切、防篡改、可回放。或者「SOC 2合规版的Claude Code」

  🔗 GitHub | 文档

  ---

  7. Platos — 开源Agent运行时，Claude Managed Agents的私有化替代（新产品发布）

  融资信息：开源项目（Apache 2.0），Winsen Labs出品

  做什么的：完整的Agent运行时基础设施——一个docker compose up即可启动的Agent生产环境。包含流式聊天运行时、持久化执行引擎、MCP网关、向量存储+知识图谱、OpenTelemetry追踪、ClickHouse成本账本、多租户模型。

  为什么值得关注： - Claude Managed Agents和OpenAI Assistants的开源替代：不需要把Agent数据交给大厂，所有数据在自己的Postgres、ClickHouse、MinIO中。BYOK（自带API Key）支持Anthropic、OpenAI、Google、Vertex AI、OpenRouter - 持久化执行层：基于trigger.dev，每个长时间运行的工具调用、定时任务、批量操作都是可恢复的Run——带重试、队列和追踪。Agent不再因为一个工具调用超时就需要从头来 - 通用MCP网关：四种工具家族（Entity-pushed、Native、Skills、Control Plane）联邦在一个端点后面，带OAuth作用域和逐工具ACL。这是目前看到的最完整的MCP实现之一 - 多租户内置：每一行数据以(organizationId, projectId, environmentId)为键——可以直接用来构建SaaS - 创业者启示：「Agent运行时的私有化部署」是一个正在形成的品类。大厂提供便利但有数据锁定，Platos提供自由但需要运维能力。这个定位类似「Supabase vs Firebase」——开源、可自托管、数据自主

  类比参考：Agent版的「Supabase」——开源的Agent后端即服务。或者「Claude Managed Agents的自托管版」

  🔗 GitHub | 文档 | Discord

  ---

  8. Tilde.run — Agent的事务性文件系统，每次运行可回滚（新产品发布）

  融资信息：Tilde Run出品，免费起步，Private Preview阶段

  做什么的：为AI Agent提供事务性沙箱——GitHub代码、S3数据、Drive文档汇聚为一个版本化文件系统。每次Agent运行都是一个可回滚的事务，每次出站网络调用都被检查和记录。

  为什么值得关注： - 「让Agent安全地操作生产数据」：Agent写坏了代码？一条命令回滚。Agent删了不该删的文件？事务日志里有完整记录。这不是简单的快照——是真正的ACID事务语义应用于Agent操作 - 代码+数据+文档统一文件系统：GitHub repo、S3 bucket、Google Drive全部挂载为同一个文件系统。Agent不需要分别理解不同数据源的API——一切皆文件 - 网络审计：每次出站调用都被检查和记录。Agent想发邮件给客户？策略引擎先审批。这是「Agent的防火墙」 - 创业者启示：「Agent操作的版本控制和回滚」是一个被低估的基础设施需求。当Agent从「偶尔用」变成「一直在跑」，「Agent搞砸了怎么办」就从心理安慰问题变成工程问题。Tilde.run的答案是：让Agent的每一次操作都像Git commit一样可追溯、可回滚

  类比参考：Agent版的「Git + Docker」——Git管理代码版本，Docker隔离运行环境，Tilde.run把两者统一为Agent可消费的事务性沙箱

  🔗 官网 | 文档 | GitHub

  ---

  📊 今日趋势总结

  趋势	信号
  🧬 Agent自我进化	GenericAgent 10.4K Star，3K行种子→技能树——Agent能力在使用中自然增长
  🏢 多Agent协作UI化	WUPHF做「AI版Slack」，Agent协作可见、可追踪、可干预
  🍎 Apple Silicon推理生态	oMLX 13.2K Star，SSD分级KV缓存让Mac本地推理不再OOM
  📐 LLM无损压缩突破	UltraCompress 5-bit数学无损，22种架构验证，405B可单卡推理
  🔒 Agent合规基础设施	Akmon为监管行业提供可审计编码Agent，「AI改了什么」有据可查
  🏭 Agent运行时私有化	Platos开源Claude Managed Agents替代，Tilde.run提供事务性Agent沙箱
  🤖 AI自主运营实体	NanoCorp探索「AI开公司」——从概念产品到可能的未来经济形态

  ---

  📌 422产品实验室出品 | 每日精选AI新产品、融资、创新模式

  关注我们，获取面向创业者的AI产品情报

  1 days ago

• Anker EufyMake E1: Print on Anything? The UV Revolution for Custom Creation

  Forget the frustrating memories of paper jams and exorbitant ink cartridges. For decades, traditional printers have barely limped along, offering incremental updates that felt more like apologies than innovations. But what if Anker, the brand behind reliable power banks and intuitive smart home devices, just ignited a true revolution in printing? They're not just entering the market; they're promising a printer that can print on literally anything.

  Enter the Anker EufyMake E1, an ultraviolet (UV) printer poised to yank 'printing' from the digital dark ages. This isn't a mere upgrade; it's a paradigm shift. Imagine laying down vibrant, durable ink and instantly curing it on canvas, wood, metal, plastic, glass, ceramics, or even leather. While such groundbreaking technology naturally carries a premium price, the critical question remains: Is the EufyMake E1 the creative liberation small businesses, artists, and serious DIY enthusiasts have been desperately awaiting?

  The EufyMake E1: A True Printing Revolution, Not Just Another Gadget

  The collective groan surrounding printers is palpable. Decades of marginal improvements and proprietary ink wars have left users frustrated, with devices often feeling more like expensive paperweights than productivity tools. The EufyMake E1 shatters this stagnation. It challenges this head-on by leveraging UV printing technology. Unlike conventional printers that deposit wet ink which then needs to dry (often smudging or bleeding), UV printers employ specialized inks. These inks are cured almost instantaneously by focused ultraviolet light, transforming liquid into a solid, durable layer. This precise, rapid process creates vibrant, abrasion-resistant prints that adhere flawlessly to an astonishing variety of non-porous and porous surfaces. The possibilities are truly transformative:

  • Personalized Gifts: Elevate simple items into cherished keepsakes – custom names on wooden jewelry boxes, intricate designs on metal flasks, or unique patterns on ceramic coasters.
  • Small Business Branding: Differentiate your brand by printing vibrant logos and designs directly onto product packaging, phone cases, water bottles, or bespoke merchandise. No more costly labels!
  • Art & Decor: Expand your artistic canvas beyond paper; reproduce intricate artwork on acrylic, stone, wood panels, or even textured fabrics with stunning fidelity and durability.
  • Industrial & Prototyping: Accelerate product development by adding detailed markings, serial numbers, or functional designs directly onto plastic components, circuit boards, or mock-ups.

  This isn't merely about printing a document. It's about unlocking unprecedented customization and creation. The EufyMake E1 empowers individuals and small businesses to transform ordinary objects into personalized masterpieces, effectively bringing small-scale manufacturing and bespoke product creation within reach of any home studio or workshop.

  Beyond the Hype: Tangible Benefits for Creators and Entrepreneurs

  While specific technical details beyond its core UV capability remain under wraps, the EufyMake E1's mere existence, backed by Anker, speaks volumes. Anker's reputation for user-friendly, reliable tech, even in sophisticated lines like Eufy smart home products, strongly suggests the E1 will offer an approachable interface. This design philosophy aims to dramatically lower the barrier to entry for what was once a complex, industrial-only printing method.

  Imagine: You design an intricate pattern on your computer, then effortlessly print it onto a ceramic mug, a leather wallet, or even a golf ball. The results are stunning: impressive durability, vibrant color fidelity, and a finish that feels integrated, not just applied. This capability far surpasses the limitations of sticker application or heat transfers, delivering a genuinely premium, professional-grade result.

  For graphic designers, artists, and crafters, the EufyMake E1 isn't just a tool; it's a catalyst for entirely new revenue streams and boundless creative avenues. Product designers can achieve rapid, high-quality iteration on physical prototypes in-house, eliminating costly, time-consuming outsourcing. This device fundamentally redefines what's achievable within a home studio or small workshop.

  The Inevitable Reality: Understanding the EufyMake E1's Premium Price

  Let's address the obvious: the Anker EufyMake E1 will carry a significant premium. This isn't surprising. It's a groundbreaking device democratizing a technology previously confined to industrial settings. While large-scale UV printers have long existed, their price tags often soared into the tens or even hundreds of thousands of dollars, demanding specialized training and dedicated environments. The EufyMake E1 aims to bring this advanced capability to a prosumer market.

  The EufyMake E1 represents a meticulously engineered, scaled-down version of this advanced industrial technology, tailored for the prosumer. Its price tag directly reflects several key factors:

  1. Cutting-edge Technology: The core components – high-power UV curing lamps, ultra-precise print heads, and specialized, durable UV inks – are inherently sophisticated and costly to manufacture.
  2. Unprecedented Versatility: Developing a single machine capable of reliably adhering vibrant, long-lasting prints to an incredibly diverse array of porous and non-porous materials, from wood to metal to glass, demands complex engineering and material science expertise.
  3. Pioneering Market Entry: As one of the first to introduce this advanced capability to a broader, accessible market segment, Anker faces significant R&D investment. The initial pricing helps recoup these costs, a common 'early adopter' dynamic.

  So, is this investment justified? For the casual user seeking to print standard documents or a few family photos, unequivocally no. However, for a small business aiming to offer truly unique, custom-branded products, an artist eager to explore new mediums, or a serious hobbyist driven by boundless creative potential, the EufyMake E1 transcends mere gadgetry. It's an investment in unparalleled capability, market differentiation, and the potential to unlock entirely new revenue streams and artistic expressions previously unattainable.

  The EufyMake E1: Ushering in a New Era of Digital Fabrication?

  The Anker EufyMake E1 isn't merely a new printer; it's a profound statement. It signals a seismic shift in how we perceive digital fabrication and personalization. This device could be the spark igniting a fresh wave of innovation, compelling other manufacturers to pursue similar advancements, making sophisticated printing technologies more accessible and, eventually, more affordable for everyone.

  We are witnessing a fascinating inflection point in technology. Anker is clearly positioning itself not just as a hardware innovator, but as a potent enabler of truly boundless creativity. While its premium price point will undoubtedly give many pause, the EufyMake E1's transformative potential is undeniable. Perhaps, at long last, the era of printer-induced headaches is drawing to a close, replaced by the exhilarating prospect of printing on virtually anything, anywhere.

  4 weeks ago (04-13)

• Your Car Just Got Smarter: ChatGPT Integrates with Apple CarPlay (iOS 26.4 Update!)

  Imagine your car transforming into a mobile command center, a brainstorming partner, or a personal tutor. No more fumbling with phones; ChatGPT is now live on your Apple CarPlay dashboard, revolutionizing in-car AI. This isn't merely an update; it's a seismic shift, courtesy of Apple's iOS 26.4. This foundational update specifically unlocked the 'voice-based conversational apps' API within CarPlay, flinging open the gates for AI powerhouses like ChatGPT to become your indispensable digital co-pilot.

  Your AI Co-Pilot: Getting ChatGPT on Apple CarPlay

  Ready to upgrade your commute? The process is refreshingly simple, especially if you're already plugged into the Apple ecosystem:

  • iOS 26.4 (or Newer): First, ensure your iPhone is running at least iOS 26.4. This critical update provides the underlying framework for conversational AI apps in CarPlay.
  • Latest ChatGPT App: Next, verify you have the most up-to-date version of the ChatGPT app installed on your iPhone. Without the latest iteration, this groundbreaking integration simply won't materialize on your CarPlay screen.

  Meet these two prerequisites, and ChatGPT will seamlessly appear on your CarPlay dashboard. Suddenly, the boundless knowledge and sophisticated conversational abilities of ChatGPT are just a voice command away, completely hands-free.

  Why This Integration Is a Game-Changer for Every Driver

  This isn't about adding another icon. This is about fundamentally redefining the driving experience. How does a powerful AI like ChatGPT truly elevate your time behind the wheel?

  • Unleashed Productivity On-the-Go: Stuck in gridlock? Dictate a crucial email draft. Summarize that dense report you missed. Or snag vital facts for an impromptu meeting. Your vehicle instantly transforms into a dynamic mobile workstation.
  • Safer, Smarter Information Retrieval: Forget risky phone fumbling for complex queries. Just ask. ChatGPT's nuanced understanding and concise, verbal answers dramatically slash distraction risks, keeping your focus precisely where it belongs: the road ahead.
  • Personalized & Contextual Assistance: Craving recommendations for a specific type of restaurant nearby, complete with dietary restrictions and real-time reviews? Traditional voice assistants often stumble; ChatGPT thrives on such multi-layered complexity. It's like having a hyper-intelligent concierge.
  • Boundless Entertainment & Learning: Long drive ahead? Challenge yourself with trivia. Explore the intricacies of quantum physics. Even spark creative writing ideas. Your car transforms into an interactive classroom, a dynamic entertainment hub, making every journey richer.

  This isn't merely "play music" or "get directions." This is about injecting genuine, intelligent conversation and complex problem-solving directly into your vehicle, safely and intuitively.

  The Broader Road Ahead: CarPlay's AI Evolution

  The arrival of ChatGPT on Apple CarPlay transcends a single app; it signals a monumental shift. Apple's strategic pivot to embrace third-party voice-based conversational apps is a tectonic move. Expect a cascade of other generative AI chatbots to follow suit, morphing our dashboards into intelligent command centers, each vying to be your ultimate digital co-pilot.

  Naturally, this evolution isn't without its speed bumps. Data privacy concerns, the fine line of voice-command distraction, and refining complex user interactions will undoubtedly emerge as crucial discussions. Yet, the horizon gleams with immense potential: unparalleled convenience, amplified safety, and a truly intelligent, connected driving experience.

  The definition of 'smart car' isn't just expanding; it's exploding. Are you ready for an AI co-pilot on your next adventure?

  1 months ago (04-01)

• Samsung Galaxy S26 & AI Photography: Is Digital Perfection 'Sloppifying' Our Memories?

  Imagine capturing a breathtaking moment, only to have AI subtly rewrite its details. This isn't science fiction; it's the imminent reality of smartphone photography, with the Samsung Galaxy S26 poised to lead an unprecedented AI revolution. As our devices evolve into sophisticated digital alchemists, a critical question looms: are we truly enhancing our cherished memories, or are we, in our pursuit of photographic 'perfection,' inadvertently 'sloppifying' the genuine essence of what transpired? This isn't just a tech debate; it's a philosophical tightrope walk, and the Galaxy S26 is about to push us further along its edge.

  The groundwork for this AI transformation was arguably laid by the Google Pixel series, particularly with features like Magic Eraser and Photo Unblur. Google's initial foray into AI editing was subtle: a slightly bluer sky, a magically vanished photobomber from a pristine landscape. These tools, lauded for their convenience, promised effortless image refinement. Yet, as capabilities expanded – think 'Best Take' or generative fill – the line between enhancement and outright fabrication began to blur. Things got, unmistakably, weird.

  From Subtle Tweaks to Digital Alchemy: The Pixel's Precedent

  Google's evolution of AI within its Photos app isn't just a feature roadmap; it's a cautionary tale. What started as intelligent background tweaks morphed into profound reality-bending tools. This wasn't merely applying a filter; it was rewriting the visual narrative with a few taps. Suddenly, users possessed the power of digital alchemy, reshaping fundamental image elements. Creative freedom soared. But so did the ethical tightrope's sway. The appeal is undeniable: professional-grade photo editing, once reserved for experts, is now democratized. Anyone can craft a stunning visual story. Yet, this accessibility births a paradox: the simpler it becomes to alter an image, the more we question the authenticity of any image. This precarious stage is precisely where the Galaxy S26 is poised to make its dramatic entry.

  What Does 'Sloppifying Memories' Truly Mean?

  The unsettling notion of 'sloppifying memories' doesn't imply poor image quality. Quite the opposite. It signifies making them less faithful to the original moment. When AI seamlessly adds a missing friend, removes an unwanted stranger, or even subtly shifts a frown into a smile, are we still documenting life as it happened? Or are we meticulously crafting a revised, idealized narrative? A poignant observation rings true: "Photos are whatever you want them to be, I guess." This encapsulates the core dilemma. Empowerment surges: minor imperfections vanish, creative visions materialize, good photos become great. But this power also erodes the bedrock of authenticity. If every image can be flawlessly curated, does the raw, unedited snapshot – blemishes, unexpected expressions, and all – lose its intrinsic value? For a generation whose lives are increasingly digital chronicles, this isn't just a question; it's an existential query.

  The Galaxy S26: Pushing the Boundaries of AI Photo Editing

  Samsung, a titan of innovation and Google's fierce competitor, is unlikely to merely mimic the Pixel's AI prowess. The Galaxy S26 is expected to catapult AI photo editing into uncharted territory, offering tools that are not only more intuitive and powerful but potentially far more controversial, integrated seamlessly into its native camera app.

  • Hyper-Realistic Object Control: Imagine not just removing a person, but precisely resizing a distant building or altering a cloud formation with a simple pinch and drag.
  • Context-Aware Generative Expansion: Beyond filling gaps, expect AI to intelligently extend entire scenes, creating believable panoramas from partial shots, understanding context and light.
  • Adaptive Artistic Intelligence: Forget static filters. The S26 might offer AI that learns your aesthetic, applying dynamic stylistic transformations, mimicking famous artists, or even generating unique visual moods on demand.

  These advancements, while technologically dazzling, will inevitably intensify the authenticity debate. Will Samsung opt for transparency, clearly labeling AI-generated elements, or will it prioritize an unblemished, 'perfect' user experience? The answer will shape public trust and define our collective embrace of this new digital alchemy.

  The Future of Our Visual Narrative

  As the Galaxy S26 prepares its launch, ushering in a new era of AI-powered visuals, consumers and creators alike confront a profound choice. These tools grant unprecedented power to sculpt our visual narratives, to fabricate images that perfectly mirror our idealized visions. But with this power comes a weighty responsibility: to comprehend the implications of every 'perfect' pixel we generate and share. Will the relentless pursuit of flawlessness lead us into a future where our digital memories are less faithful chronicles of reality, and more curated fantasies of what we wished had been? Or can we, with deliberate intent, learn to wield these potent AI tools thoughtfully, using them to subtly enhance, rather than outright replace, the raw, beautiful authenticity that makes life's moments truly unforgettable? The Galaxy S26 is more than just a smartphone; it's a technological marvel, a harbinger of AI's pervasive influence, and a mirror reflecting the evolving, complex relationship we're forging with our digital pasts.

  1 months ago (04-01)

• Art School's AI Awakening: Why Creatives Must Master the Algorithm (Before It Masters Them)

  The future of art isn't just arriving; it's already enrolled in art school. A profound, often uncomfortable, shift is gripping creative education: artificial intelligence isn't an elective anymore; it's a core discipline. As a former design student, I vividly recall the mix of pride and a creeping sense of dread my baby brother feels navigating his 3D modeling and animation studies. This tension stems from a fundamental truth now taking hold: like it or not, AI is now an undeniable part of art school curriculums.

  The days of debating AI's place in art are over. Major institutions worldwide are actively teaching aspiring creatives how to utilize artificial intelligence, integrating it into everything from concept development to final production. This isn't just a fringe course; it's becoming a foundational component, preparing the next generation of artists, designers, and animators for a rapidly evolving professional landscape.

  The Inevitable Integration of AI in Creative Education

  For many, this reality is a bitter pill to swallow. Yet, the push from educational bodies to incorporate AI tools isn't arbitrary. It stems from a very practical need: preparing students for the real world. Creative industries – be it film, gaming, advertising, or product design – are already leveraging AI for various tasks. From generating initial concept art and storyboards to automating tedious tasks like texture generation, rigging, or even initial animation cycles in 3D, AI is proving to be a powerful, if controversial, accelerator – a digital alchemist speeding up the creative process.

  Ignoring this shift would be a profound disservice to students who will soon enter a job market where proficiency with these tools might not just be an advantage, but an absolute necessity. Art schools, therefore, find themselves in a challenging position: to uphold traditional artistic values while simultaneously equipping students with the cutting-edge skills demanded by industry. It's a delicate tightrope walk.

  Beyond the Hype: Practical Applications and Ethical Quandaries

  So, what does "utilizing AI" actually mean in an art school setting? It's not about replacing human creativity entirely, but rather about augmenting it. Students are learning to use AI for:

  • Rapid Prototyping: Quickly generating hundreds of design variations, mood boards, or character concepts in minutes, accelerating the ideation phase.
  • Efficiency Gains: Automating repetitive, time-consuming tasks like texture baking, rigging, or initial animation cycles, freeing human artists to focus on higher-level creative problems and refinement.
  • New Creative Avenues: Exploring AI-generated imagery or animations as starting points for entirely novel forms of art, from interactive installations to experimental film and generative design.
  • Data-Driven Design: Using AI to analyze user preferences, market trends, or even emotional responses to inform design decisions, moving beyond intuition to empirically-backed innovation.

  However, this integration is far from seamless. The ethical implications loom large, casting a long shadow. Concerns about copyright infringement, the homogenization of artistic styles, and the potential for job displacement are valid and widely discussed. How do educators guide students through a landscape where tools sometimes scrape copyrighted data, risk homogenizing aesthetic styles, or threaten traditional livelihoods? These are not easy questions.

  The Resistance: When Students and Faculty Push Back

  It's no secret that a significant portion of the creative community, including students and faculty, harbor deep reservations, even outright hatred, for AI art. Their arguments are often rooted in a passionate desire to protect the sanctity of human creativity, the irreplaceable value of craft, and the livelihoods of artists who dedicate years to honing their skills.

  This internal resistance presents a unique challenge for educators. How do you motivate students to learn tools they view as a threat? How do you foster a learning environment that encourages innovation while also addressing legitimate ethical and philosophical objections? This tension is palpable on many campuses, leading to important, albeit often heated, debates about the very definition of "art" in the age of algorithms. It’s a battle for the soul of creativity.

  Navigating the Future of Creative Practice

  Redefining what it means to be a creative professional in the 21st century is at the heart of AI's inclusion in art school curriculums. It requires a nuanced approach that emphasizes critical thinking, ethical reasoning, and a deep understanding of artistic principles alongside technical proficiency with AI tools. The goal isn't to create artists who simply prompt-engineer their way to a career, but rather to cultivate highly skilled individuals who can harness powerful technologies responsibly and innovatively.

  The future of creativity, it seems, won't be about AI versus artists, but about how artists choose to partner with AI, shaping its development and application to serve human expression. AI isn't just a tool; it's becoming a new kind of collaborator, a digital apprentice that can accelerate ideation and execution. What are your thoughts on AI in art schools? Is it a necessary evil, or a powerful new brushstroke in the artist's palette?

  1 months ago (04-01)