Power Users/Automators 折腾/讨论/分享各种开源工具/脚本/自动化工作流👥 @zhetengsha_group📌 合集 https://t.me/zhetengsha/2🎁 恰饭 https://t.me/zhetengsha/957📢 广告投放 @xream @xream_botBuy ads: https://telega.io/c/zhetengshafeedId:55438372655431680+userId:62307599601855488http://telegram.zhetengsha.eu.orghttp://telegram.zhetengsha.eu.org/posts/5213http://telegram.zhetengsha.eu.org/posts/5213Sat, 28 Mar 2026 02:00:00 GMT<u>ChromeClaw: 基于 Chrome 浏览器运行的免费 AI 聚合助手方案</u><br /><br />• 直接复用各大模型官网的已登录账号，在浏览器内实现近乎无限 token 的日常调用体验<br /><br />• 当前已支持 Qwen、Kimi、GLM、Gemini、Claude 等多个主流模型平台，适合个人多模型统一使用<br /><br />• 相比本地可执行方案，依托 Chrome 沙盒机制运行，更轻量，也更符合安全优先的使用场景<br /><br />V2EX: <a href="https://www.v2ex.com/t/1201640" target="_blank" rel="noopener" title="https://www.v2ex.com/t/1201640">https://www.v2ex.com/t/1201640</a><br /><br />GitHub: <a href="https://github.com/algopian/chromeclaw" target="_blank" rel="noopener" title="https://github.com/algopian/chromeclaw">https://github.com/algopian/chromeclaw</a><br /><br />相关: <a href="https://github.com/linuxhsj/openclaw-zero-token" target="_blank" rel="noopener" title="https://github.com/linuxhsj/openclaw-zero-token">https://github.com/linuxhsj/openclaw-zero-token</a><br /><br /><a href="/search/result?q=%23ChromeClaw" title="#ChromeClaw">#ChromeClaw</a> <a href="/search/result?q=%23AI" title="#AI">#AI</a> <a href="/search/result?q=%23%E6%B5%8F%E8%A7%88%E5%99%A8%E6%89%A9%E5%B1%95" title="#浏览器扩展">#浏览器扩展</a> <a href="/search/result?q=%23%E5%A4%A7%E6%A8%A1%E5%9E%8B%E8%81%9A%E5%90%88" title="#大模型聚合">#大模型聚合</a> <a href="/search/result?q=%23%E5%85%8D%E8%B4%B9" title="#免费">#免费</a> <a href="/search/result?q=%23AI" title="#AI">#AI</a> <a href="/search/result?q=%23%E5%B7%A5%E5%85%B7" title="#工具">#工具</a> <a href="/search/result?q=%23Chrome" title="#Chrome">#Chrome</a> <a href="/search/result?q=%23GitHub" title="#GitHub">#GitHub</a> <a href="/search/result?q=%23%E5%BC%80%E5%8F%91%E8%80%85%E5%B7%A5%E5%85%B7" title="#开发者工具">#开发者工具</a><a class="tgme_widget_message_link_preview" href="https://www.v2ex.com/t/1201640" target="_blank" rel="noopener" title="分享创造 - @kylehuangyu - 全新版本的 ChromeClaw v1.9.4 上线了! ChromeClaw 现在支持免费，无限 token 养龙虾。你只需浏览器账户登陆各大大模型网站，就可以养上你自己的小龙虾。不花一分钱"> <i class="link_preview_right_image" style="background-image:url('https://cdn4.telesco.pe/file/n-MaYZK8lfCQQXy-6ksoTBz2gugjah_Sl-406glRPwCqoSrzfRd4bXjFozbwIfGJqvFXafxwcP7W2EJw3lZgmc73W2sLXOsjpHA79N7Y2e7u5ZZjEYPxLE5AaIJRfNL89CAURyHn8tV_5u6Q8Tw9o6kS52lQ1ijBIJXwLHiuy_v82Nllkc6xPXxGbpTXsRaDubEVB2nfWAoVX_OvZHh5pRQmqcM_l2Bv7LT_CSq-JzhyWmE9UfpEV0Bl_uog017hg6R4tlvReTPMufmf06U4WsBZxilSWjHoWOrszDCe_JTkLZEeDzh06waavGWLdn3tlnryGoIJQRBT2BXBydSfzw.jpg')"></i> <div class="link_preview_site_name accent_color">V2EX</div> <div class="link_preview_title">ChromeClaw - 浏览器里零 token 免费养龙虾 - V2EX</div> <div class="link_preview_description">分享创造 - @kylehuangyu - 全新版本的 ChromeClaw v1.9.4 上线了! ChromeClaw 现在支持免费，无限 token 养龙虾。你只需浏览器账户登陆各大大模型网站，就可以养上你自己的小龙虾。不花一分钱</div> </a>http://telegram.zhetengsha.eu.org/posts/5171http://telegram.zhetengsha.eu.org/posts/5171Tue, 24 Mar 2026 02:02:46 GMT<div class="image-list-container image-list-odd"> <button type="button" class="image-preview-button image-preview-wrap" popovertarget="modal-5171-0" popovertargetaction="show" aria-label="Open image preview: Deep Research: AI驱动的极速深度研究报告生成器 • 约2分钟生成完整研究报告 • 支持多模型与本地知识库，数据全部本地存储保障隐私 • 一键部署到 Vercel、Cloudflare 或 Docker，随时可用 "> <img src="/static/https://cdn5.telesco.pe/file/fx6hb3FqdMXh2-8EW4nDgiHsn-qpTURcQ9k3N2e4ytjXvVr0QhWZTPvIDC25E35k4dW_W5qnTb95KPspZl1AGlLe2Fo68Gw3IYwXv-NsVGMzHvkw4e3O0Z_a_Z1_7pR8ENutvEHNNk8GTkDhjP4kSnDtWTZDp9Hd04Sv3C2tdlnSs7VYKPcHUoFLbU-LYdLP-gayTYq3RLF-BcnNAafiLORHKtouCzrKgqCFK-Cs_kcU5jk7lDzQPWV34UxsFAAydyeIz9pnhyCkEc7QvpKQue-mXn5YFynDpWzk6GXSsNc-39EOklZfghoWCOZU17LoxfNoWLrO7xRIdlhid-KbMA.jpg" alt="Deep Research: AI驱动的极速深度研究报告生成器 • 约2分钟生成完整研究报告 • 支持多模型与本地知识库，数据全部本地存储保障隐私 • 一键部署到 Vercel、Cloudflare 或 Docker，随时可用 " width="800" height="629" loading="eager" /> </button> <div class="modal" id="modal-5171-0" popover="auto" aria-label="Image preview"> <button type="button" class="modal__backdrop" popovertarget="modal-5171-0" popovertargetaction="hide" aria-label="Close image preview"></button> <button type="button" class="modal__close" popovertarget="modal-5171-0" popovertargetaction="hide" aria-label="Close image preview">×</button> <div class="modal__surface"> </div> </div> </div><u>Deep Research: AI驱动的极速深度研究报告生成器 </u><br /><br />• 约2分钟生成完整研究报告 <br /><br />• 支持多模型与本地知识库，数据全部本地存储保障隐私 <br /><br />• 一键部署到 Vercel、Cloudflare 或 Docker，随时可用 <br /><br /><a href="https://github.com/u14app/deep-research" target="_blank" rel="noopener" title="https://github.com/u14app/deep-research">https://github.com/u14app/deep-research</a> <br /><br /><a href="/search/result?q=%23AI" title="#AI">#AI</a> <a href="/search/result?q=%23%E5%A4%A7%E6%A8%A1%E5%9E%8B" title="#大模型">#大模型</a> <a href="/search/result?q=%23%E7%A0%94%E7%A9%B6%E6%8A%A5%E5%91%8A" title="#研究报告">#研究报告</a> <a href="/search/result?q=%23%E9%9A%90%E7%A7%81" title="#隐私">#隐私</a> <a href="/search/result?q=%23%E5%BC%80%E6%BA%90" title="#开源">#开源</a> <a href="/search/result?q=%23Nextjs" title="#Nextjs">#Nextjs</a> <a href="/search/result?q=%23SaaS" title="#SaaS">#SaaS</a> <a href="/search/result?q=%23PWA" title="#PWA">#PWA</a>http://telegram.zhetengsha.eu.org/posts/5132http://telegram.zhetengsha.eu.org/posts/5132Fri, 20 Mar 2026 02:01:46 GMT<div class="image-list-container image-list-odd"> <button type="button" class="image-preview-button image-preview-wrap" popovertarget="modal-5132-0" popovertargetaction="show" aria-label="Open image preview: llm_benchmark: 面向复杂推理与长文本场景的 LLM 中文能力基准项目• 聚焦高难度任务设计，覆盖符号推导、规则归纳、代码阅读、日志分析、长文本总结等多类真实问题，更适合检验模型的综合推理能力• 题目设置强调指令遵循与复杂约束处理，包含生产日志、棋局解读、工具组合、寻路规划等场景，对模型实用性评估更有参考价值• 基于 GitHub 开源发布，适合用于大模型评测、能力对比、提示词测试与中文推理 benchmark 构建"> <img src="/static/https://cdn5.telesco.pe/file/tdBixwYc1GHVpVQ5b2fpa5I4MdN62yhK20ONmRd9jzlJ7SZY9h6vWiTXvYqKu_em26_fR2RfQAC_T0mFbWIwO4u_5U1_mqxpzteXVo3VrSfTKMVo5h4fIC1Qdod-FJD4OX_upwl1wjidy2cKXPNOFPqlly_zu8qN1WFSObxrucPjvjzRj_JZjR-35QWwm61wbEU_PrIklcDO5e2KcDmpZpRs_XsW-OQh0qxV03MRxtL9IscHYyIPlZREjjqh-s-wXCXDPT4eduFTY5KVngiKKl9fNXLoEpHpi2nmFbEQopK_z0Q82Nts6js7Dc0od1kvMU1KdlMv-d9VaGDJve0Wdw.jpg" alt="llm_benchmark: 面向复杂推理与长文本场景的 LLM 中文能力基准项目• 聚焦高难度任务设计，覆盖符号推导、规则归纳、代码阅读、日志分析、长文本总结等多类真实问题，更适合检验模型的综合推理能力• 题目设置强调指令遵循与复杂约束处理，包含生产日志、棋局解读、工具组合、寻路规划等场景，对模型实用性评估更有参考价值• 基于 GitHub 开源发布，适合用于大模型评测、能力对比、提示词测试与中文推理 benchmark 构建" width="800" height="626" loading="eager" /> </button> <div class="modal" id="modal-5132-0" popover="auto" aria-label="Image preview"> <button type="button" class="modal__backdrop" popovertarget="modal-5132-0" popovertargetaction="hide" aria-label="Close image preview"></button> <button type="button" class="modal__close" popovertarget="modal-5132-0" popovertargetaction="hide" aria-label="Close image preview">×</button> <div class="modal__surface"> </div> </div> </div><u>llm_benchmark: 面向复杂推理与长文本场景的 LLM 中文能力基准项目</u><br /><br />• 聚焦高难度任务设计，覆盖符号推导、规则归纳、代码阅读、日志分析、长文本总结等多类真实问题，更适合检验模型的综合推理能力<br /><br />• 题目设置强调指令遵循与复杂约束处理，包含生产日志、棋局解读、工具组合、寻路规划等场景，对模型实用性评估更有参考价值<br /><br />• 基于 GitHub 开源发布，适合用于大模型评测、能力对比、提示词测试与中文推理 benchmark 构建<br /><br /><a href="https://github.com/llm2014/llm_benchmark" target="_blank" rel="noopener" title="https://github.com/llm2014/llm_benchmark">https://github.com/llm2014/llm_benchmark</a><br /><br /><a href="/search/result?q=%23%E5%A4%A7%E6%A8%A1%E5%9E%8B%E8%AF%84%E6%B5%8B" title="#大模型评测">#大模型评测</a> <a href="/search/result?q=%23%E4%B8%AD%E6%96%87%E5%9F%BA%E5%87%86" title="#中文基准">#中文基准</a> <a href="/search/result?q=%23%E6%8E%A8%E7%90%86%E8%83%BD%E5%8A%9B" title="#推理能力">#推理能力</a> <a href="/search/result?q=%23%E9%95%BF%E6%96%87%E6%9C%AC" title="#长文本">#长文本</a> <a href="/search/result?q=%23%E4%BB%A3%E7%A0%81%E9%98%85%E8%AF%BB" title="#代码阅读">#代码阅读</a> <a href="/search/result?q=%23%E6%97%A5%E5%BF%97%E5%88%86%E6%9E%90" title="#日志分析">#日志分析</a> <a href="/search/result?q=%23GitHub" title="#GitHub">#GitHub</a> <a href="/search/result?q=%23LLM" title="#LLM">#LLM</a> <a href="/search/result?q=%23Benchmark" title="#Benchmark">#Benchmark</a> <a href="/search/result?q=%23AI" title="#AI">#AI</a>http://telegram.zhetengsha.eu.org/posts/4895http://telegram.zhetengsha.eu.org/posts/4895Mon, 23 Feb 2026 01:01:50 GMT<video src="/static/https://cdn5.telesco.pe/file/212750a9f4.mp4?token=XVQMXxVnaWY4tOzSH_pjfiYdMREUk2zBLEB8c2V38Ld4XV7M9wl5l9lRpK_5j3T-juqrQkbz9DbZtAqOD5-OEBu5L8ogQg8EkA-Ixd_qzuubG5Fvx-awRE6UYPTNOEKiFPC23UHO3ipBF-CnlWTtB1JKWdrodqk_EXzmLm8bRHBZipQI_FraSronRt8OfJGw9QABRHuWyGxHKHO7NkDGPo3qbB6t_rguMx6NWPeyg9no0EB2hvnjbxDQi_A8IQRNgyZVrrCmvfA5eiZEtHZxYSqJKXAILqILVrp1MxrpDlpSYxWGyZNglHMCgPg_EaIno8CrBxyyLtr9nRvKfrzrRw" class="tgme_widget_message_video js-message_video" width="100%" height="100%" preload="auto" muted autoplay loop playsinline controls webkit-playsinline></video><u>MemOS: 大模型长时记忆操作系统 </u><br /><br />• 统一存储、检索与管理长时记忆，实现上下文感知的个性化交互 <br /><br />• 原生支持多模态、工具记忆和企业级优化，提升系统可靠性与效率 <br /><br />• 开放社区贡献，提供完整文档与快速上手指南<br /><br /><a href="https://github.com/MemTensor/MemOS" target="_blank" rel="noopener" title="https://github.com/MemTensor/MemOS">https://github.com/MemTensor/MemOS</a> <br /><br /><a href="/search/result?q=%23%E5%A4%A7%E6%A8%A1%E5%9E%8B" title="#大模型">#大模型</a> <a href="/search/result?q=%23%E8%AE%B0%E5%BF%86%E7%B3%BB%E7%BB%9F" title="#记忆系统">#记忆系统</a> <a href="/search/result?q=%23AI" title="#AI">#AI</a> <a href="/search/result?q=%23%E5%BC%80%E6%BA%90" title="#开源">#开源</a> <a href="/search/result?q=%23GitHub" title="#GitHub">#GitHub</a>http://telegram.zhetengsha.eu.org/posts/4679http://telegram.zhetengsha.eu.org/posts/4679Wed, 28 Jan 2026 01:03:32 GMT<div class="image-list-container image-list-odd"> <button type="button" class="image-preview-button image-preview-wrap" popovertarget="modal-4679-0" popovertargetaction="show" aria-label="Open image preview: LM Speed: 一键测出你的 LLM API 到底快不快当然我知道大多数人是去看有什么 API 可以白嫖的... "> <img src="/static/https://cdn5.telesco.pe/file/ixLjE3f2oCg9Lh91wWi6LcLPlH6C1PPATMkqlAmyvx0hcKdVpHaTba0G7KlbXlpZUycaaO25MWZMGZ9V-twPpsmMYaxFymuiWdm5EfV8oOHYinXBmdHAQqtapJUNPoe7x91p48woYeWoNmzYmK2z1QDyvEpc4D-aoA1R85dMFaUfKHojumlcu5mSelNfAWW3DhuvO_RxT9ZyRGORSy43dtJt9I2Wxb-mzfS3BQGe2AQA3By2HsVxFbQDXV4bdboOnGPUEfkjYVZ-DbYH_KG_UIM9DI3m1l9kvTrzeqtr5oZSLgTy3o0-sFuLQBKQa73Gv7C1skv6mU7xPsBqW3saoA.jpg" alt="LM Speed: 一键测出你的 LLM API 到底快不快当然我知道大多数人是去看有什么 API 可以白嫖的... " width="667" height="800" loading="eager" /> </button> <div class="modal" id="modal-4679-0" popover="auto" aria-label="Image preview"> <button type="button" class="modal__backdrop" popovertarget="modal-4679-0" popovertargetaction="hide" aria-label="Close image preview"></button> <button type="button" class="modal__close" popovertarget="modal-4679-0" popovertargetaction="hide" aria-label="Close image preview">×</button> <div class="modal__surface"> </div> </div> </div><u>LM Speed: 一键测出你的 LLM API 到底快不快</u><br /><br />当然我知道大多数人是去看有什么 API 可以白嫖的... <a href="https://lmspeed.net/zh/category?q=%E5%85%8D%E8%B4%B9" target="_blank" rel="noopener" title="https://lmspeed.net/zh/category?q=%E5%85%8D%E8%B4%B9">https://lmspeed.net/zh/category?q=%E5%85%8D%E8%B4%B9</a><br /><br />• 多提示词综合测速，量化首字延迟、吞吐（Tokens/s）、总耗时等关键指标<br />• 支持自定义 Base URL + API Key，兼容官方与各类 OpenAI 兼容代理端点<br />• 内置实时排行榜与可视化分析，快速对比不同 Provider / Model 的性能差异<br /><br /><a href="https://lmspeed.net/zh" target="_blank" rel="noopener" title="https://lmspeed.net/zh">https://lmspeed.net/zh</a><br /><br /><a href="/search/result?q=%23%E5%A4%A7%E6%A8%A1%E5%9E%8B" title="#大模型">#大模型</a> <a href="/search/result?q=%23API%E6%B5%8B%E9%80%9F" title="#API测速">#API测速</a> <a href="/search/result?q=%23%E6%80%A7%E8%83%BD%E5%88%86%E6%9E%90" title="#性能分析">#性能分析</a> <a href="/search/result?q=%23%E5%BB%B6%E8%BF%9F%E4%BC%98%E5%8C%96" title="#延迟优化">#延迟优化</a> <a href="/search/result?q=%23%E5%90%9E%E5%90%90%E9%87%8F" title="#吞吐量">#吞吐量</a> <a href="/search/result?q=%23%E6%8E%92%E8%A1%8C%E6%A6%9C" title="#排行榜">#排行榜</a> <a href="/search/result?q=%23LLM" title="#LLM">#LLM</a> <a href="/search/result?q=%23OpenAI" title="#OpenAI">#OpenAI</a> <a href="/search/result?q=%23AI" title="#AI">#AI</a>