Pizza Bot – 为后台运行的 AI 代理打造的收件箱
Show HN: Pizza Bot – An inbox for AI agents that work in the background
我们发现了什么
Show HN:Pizza Bot – 为后台运行的 AI 代理打造的收件箱。Pizza Bot 是一款自托管的桌面应用,支持 Mac、Windows 和 Linux,在后台运行 AI 代理,并通过类似电子邮件的 UI 将其呈现出来。
- 来源:Hacker News(发现于 2026-09-17)
- 证据等级:D · 发现产品或需求信号,暂未获得可核验的商业证据。
- 商业模式:API / Usage-based
- 主题:AI Agent
- 初筛评分:20/100 · 收录 1 次
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中文辅助译文(全文)
HN 大家好——潜水多年(从 2012 年就开始了!),第一次发帖。Pizza Bot 是一款自托管的桌面应用,支持 Mac、Windows 和 Linux,可以在后台运行 AI agent,并通过类邮件的 UI 将其暴露出来。已完成的工作会出现在 Unread(未读)中,等待你审批的内容则会出现在 Action(待处理)中。它基于 Apache 2.0 开源,无需注册,没有遥测,你可以自带模型 provider:Anthropic、Amazon Bedrock、Google Gemini、OpenAI、OpenRouter,或者通过 Ollama 使用本地模型。releases 页面有构建版本,你也可以从源码运行。Pizza Bot 最初是我在 Amazon 与一个小型团队共同开发的内部兴趣项目。起因是我对手动通过浏览器表单记录 CRM 活动感到十分沮丧。我搭建了一个名为 "JoeBot" 的简易 REST API,通过 CDP 连接到我的已认证浏览器会话,并使用 Playwright 帮我填写表单。随后我快速 hack 了一个 Obsidian 插件,这样我就可以从本地笔记中触发它(没有涉及 AI,也没有 MCP 服务器)。这个项目很快流行起来。我的同事、AWS Solutions Architect Igor Fil 加入了我的行列,我们将项目重新命名为 "Pizza Bot",这个名字来源于 Amazon 的 two-pizza team(双披萨团队)。我们开始探索还能构建哪些自动化。
我们发现了一个可以查询的 GraphQL API,并 hack 了一些 "recipes" 来从 CRM 中提取数据,用于辅助会议准备。这效果非常好,恰逢 MCP 服务器似乎开始兴起,于是我们决定将 Pizza Bot 改造成 MCP server,使其能通过自然语言被 AI 工具调用。这个方案对技术用户来说还算不错,但那些每天泡在 CRM 系统里的客户经理也想要用上它。我们决定将 Pizza Bot 重新构建为一个仿照电子邮件收件箱的 Electron 桌面应用,这样非技术用户会感到熟悉,并且能在 Mac 和 Windows 上运行。我们还将内部 MCP 服务器打包为 OCI 镜像,托管在 Amazon ECR 中,作为一个 "addon marketplace"(插件市场),让用户可以一键安装,无需配置 Amazon 的开发者工具链。这个项目有机地发展起来,从 AWS 扩展到了 Amazon 全球更广泛的组织。最终有超过 2,000 人使用它来进行会议准备、邮件起草、Slack 摘要、CRM 日志记录、规划日常工作优先级以及网络调研。随着 Claude Cowork 以及 Amazon 自家的 Quick Desktop 等应用问世,我们意识到真正的增长机会在 Amazon 之外。我们没有试图剥离 Amazon 相关的集成,而是将 Pizza Bot 再一次重写为开源项目。我们大量依赖 coding agent,这是我们这样规模的团队能够完成完整重写的唯一原因。我很高兴地宣布它终于开源了,我们希望吸引社区成员,看看它会走向何方。
我们希望为知识工作者带来 Claude Code 和 Codex 已经为程序员所做的事情。一些需要提前说明的事。Pizza Bot 第一天在 Amazon 内部被使用的大部分有用的内容……
译文由上游机器翻译生成,可能有误;判断请以英文原文为准。
英文原文(来源本站未改写)
Hi HN - long-time lurker (since 2012!), first time poster.Pizza Bot is a self-hosted desktop app for Mac, Windows, and Linux that runs AI agents in the background and exposes them through an email-like UI.Finished work shows up in Unread, and anything waiting on your approval shows up in Action.It's Apache 2.0-licensed, there's no signup and no telemetry, and you bring your own model provider: Anthropic, Amazon Bedrock, Google Gemini, OpenAI, OpenRouter, or a local model through Ollama.There are builds on the releases page, or you can run it from source.Pizza Bot started as an internal passion project I worked on with a small team at Amazon.
The whole thing came out of my frustration at having to manually log CRM activities through a browser form.I built a simple REST API called "JoeBot" that connected to my authenticated browser session over CDP and filled out the form for me using Playwright.Then I hacked up a quick Obsidian plugin so I could trigger it from my local notes (no AI and no MCP servers involved).This caught on quickly.My fellow AWS Solutions Architect Igor Fil joined up with me, and we rebranded the project as "Pizza Bot," named after Amazon's two-pizza teams.We started seeing what other automations we could build.
We found a GraphQL API we could query and hacked up some "recipes" to pull data out of the CRM to help with meeting prep.That worked great, and it was right around the time MCP servers seemed to be taking off, so we decided to expose Pizza Bot as an MCP server instead, so it would be available to AI tools through natural language.This was a decent solution for technical users, but the Account Managers who live inside our CRM system wanted something too.We decided to rebuild Pizza Bot as an Electron desktop app modeled after an email inbox, so it would be familiar to non-technical users and would run on both Mac and Windows.
We also bundled internal MCP servers as OCI images and hosted them in Amazon ECR as an "addon marketplace" so users could install them with one click without having to set up Amazon developer tooling.The project took off organically and expanded outside of AWS into the wider Amazon organization globally.More than 2,000 people ended up using it for meeting prep, email drafting, Slack summaries, CRM logging, prioritizing their day, and web research.Once apps like Claude Cowork and Amazon's own Quick Desktop came out, we realized the real growth opportunity was outside of Amazon.
Rather than try to rip out the Amazon-specific integrations, we rebuilt Pizza Bot once more as an open source project.We leaned on coding agents heavily, which is the only reason a team our size could pull off a full rewrite.I'm pleased to say it's finally public, and we're hoping to bring in community members and see where it goes.We'd like to do for knowledge workers what Claude Code and Codex have done for programmers.A couple of things to know up front.Most of what made Pizza Bot useful on day one inside
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