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Agent 生态 · Agent 管理与编排

2026年10月21日 – 2026年10月27日 内首次发现的 144 个新项目,已跨 9 个来源去重。

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2026年8月5日 – 2026年10月27日 内首次发现 1517 个项目

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144 个新项目9 个来源

Offer来敲门:中文本地 AI 求职工作台,串起岗位简历、投递跟进与模拟面试

求职时,岗位描述、不同版本的简历、投递进度和面试反馈经常散落在多个地方。Offer来敲门把这些步骤放进一个本地运行的中文工作台,适合已经使用 AI CLI、希望系统整理求职过程的朋友。 可以从一个目标岗位开始:手动添加职位,结合自己的真实经历生成岗位专属简历和沟通话术,核对后导出 Word、PDF 或 Markdown;自行投递后记录进度,再围绕该岗位生成面试题,进行文字或语音练习并查看逐题反馈。 也支持多个招聘来源的职位发现与匹配分析。需要登录的平台由用户自行登录,来源可用性受平台页面与访问限制影响,工具不自动投递。 运行需要 Node.js 24+,以及已登录、有可用额度的 Codex 或 CodeBuddy CLI;Claude Code 已实现适配,但尚未完成真实账号流程验证。项目采用 Apache-2.0 许可证,模型使用可能产生费用。 档案和求职记录保存在本机;AI 处理仍会将经历、技能等任务内容发送给所选 CLI 配置的服务,不是完全离线工具。 欢迎试用后反馈:哪一步最有用,在哪一步遇到阻碍?反馈请附操作系统、引擎及版本、操作步骤和脱敏错误信息,无需上传真实简历。

语言TypeScriptDTAgent 管理与编排原始ai原始claude-code
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Coday:让 Devin、Cursor 等编辑器使用你自己的模型

Coday 是一个 Windows 桌面工具:在本机接管 Devin、Cursor、Windsurf、Kiro 以及 VS Code(GitHub Copilot)的 AI 请求,转换协议后转发到你自己选择的 OpenAI 兼容或 Claude 接口。编辑器不用手改 baseurl,聊天、补全、Agent 和工具调用照常使用。 主要功能: Devin 全家桶:快速上下文复用本地 Devin 登录;Devin Tab 补全走官方 GetTab Supercomplete;本机 Devin CLI / Devin Local / ACP 的系统提示词改写与回滚;Devin 界面汉化与还原。 自选模型与 API 源:粘贴接口地址和 Key,同步上游模型列表;支持多源故障转移,当前源限流或不可用时自动切换。 跨 IDE 项目规则:读取 .windsurfrules、.cursor/rules、.kiro/steering、CLAUDE.md 等规则文件。 Remote-SSH:通过反向隧道把 Linux 远端的 AI 流量接回本机,路由和模型注入继续生效。 可观测:内置请求控制台、用量统计、证书与拦截诊断。 界面支持中英文,仓库提供 Windows 安装包,源码暂不开放。

DTAgent 管理与编排
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Free WhatsApp Chat Widget Generator GDPR

v2.2 turns our widget into a full WhatsApp Business Suite! 👥 Multi-Agent Teams: Add dedicated members (Sales, Support) with custom name, job title, and dedicated phone number. 📱 Desktop QR Code: Scan-to-chat with real-time text sync. ⏰ Smart Business Hours: Operating hours & away notices. Perfect for agencies & businesses. Get enterprise features without $10–$30/mo fees - still 100% free, self-hosted, 0 cookies & GDPR-Friendly!

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Raq.com

Raq.com started as an internal tool builder. It's now a toolkit for the AI agent you already use. Connect Claude, ChatGPT or any MCP agent once and it works across 75+ business tools, from CRM and task boards to quotes with e-sign and card deposits, forms, automations and AI image and video. Everything it makes is saved in one workspace your team shares, and you can build and host your own custom tools too.

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DTAgent 管理与编排
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Bifurc

Free desktop app for API work on localhost: *.localhost proxying with capture, a client for REST/GraphQL/gRPC/SOAP/WebSocket/MCP & more, proxy-level mocks, git-synced workspaces, visual flows, a local mail inbox, and an agent-ready CLI. Windows, macOS, Linux.

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Dock

Dock gives each AI agent its own Linux VM with a persistent disk. Create it, run commands, stop it (the disk stays, compute is freed), resume it with the same files, or branch it into copies so several agents can try fixes in parallel. Run docks locally with no account (QEMU on Linux or Windows), or self-host the open source control plane with one command. Hosts run Firecracker microVMs or gVisor sandboxes and only connect outbound. CLI plus TypeScript, Python and Go SDKs.

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DTAgent 管理与编排
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FYN

FYN is personal finance with one ledger for you and your AI tools. Link banks once on Pro. FYN categorizes transactions, keeps budgets and bills current, and turns receipts into line items. Ask FYN in-app, or connect Claude, ChatGPT, Grok Bot or any MCP client for a read-only view. FYN never moves money. Free forever: receipts, tap-to-pay and email ingest, Ask FYN. Pro: Plaid bank sync, higher limits. Households share one workspace. iOS, Android, web.

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DTAgent 管理与编排
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KorvixAI

KorvixAI is an AI-powered workspace built for founders, startups, and growing teams. Bring your projects, tasks, AI agents, and connected tools into one place. Ask questions about your projects, understand what has changed, identify blockers, and keep your team aligned. Instead of switching between multiple tools to understand what's happening, KorvixAI helps you turn scattered information into actionable insights. Build, organize, and move forward with more clarity.

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WP AI Manager

WP AI Manager is an AI agent inside your WordPress admin. Ask in plain language and it edits Elementor and block editor pages, writes SEO, runs WooCommerce and 12 playbooks. Approve big changes, undo any. BYOK MCP for Claude and Cursor & more.

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Larder:本地优先的 AI Agent 资源管理器

同时使用 Claude Code、Codex、Cursor 等多个 Agent 后,Skills、MCP Server、CLI、指令文件和自定义命令往往散落在不同目录,很难确认本机到底装了什么。 Larder 会扫描这些本地资源,在一个 macOS 桌面应用里集中展示来源、Agent 可见性和更新状态,并支持带计划与快照的安全安装、更新、卸载。同时也可以浏览各 Agent 的本地会话和按需预览消息。 主要功能 Skills / MCP / CLI / 指令文件 / Commands 统一管理 Agent Inspector 解释 Agent 实际能看到什么 本地会话浏览、搜索和筛选 所有数据都保留在本机,不需要账号,不上传内容,也没有遥测。项目使用 MIT License,目前是 0.0.6 早期版本。

语言TypeScriptDTAgent 管理与编排原始ai-agents原始desktop-app
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Codeg 多智能体协同工作的平台

把所有 AI 编码智能体收进同一个地方 —— 并让它们协同工作。 亮点 可以让任何兼容ACP的智能体在一个界面协同工作,支持桌面、服务器、Docker 与移动端,也能通过 Telegram、飞书和微信与智能体对话。 截图或演示视频

语言RustDTAgent 管理与编排原始acp原始ade
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Reins —— 自托管零信任远程运维平台

自托管零信任远程运维平台。单个 Go 二进制 Relay + 一行命令安装的 Agent + 50+ 命令 CLI,通过反向 WebSocket 穿透 NAT——被控端零入站端口。mTLS + 内置 CA + 多租户 RBAC + 防篡改审计 hash chain,并为 AI 代理提供规则门禁(自动化操作前必须先读项目运维规则并携带内容指纹 ack)。

语言GoDTAgent 管理与编排原始ai-agents原始devops
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nightly-labs / openbot

A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.

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语言TypeScriptDTAgent 管理与编排原始ai-agents原始bun
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Docustay

Your whole team, one flat price. Pro is $35 a month for the whole workspace: no per-seat fees, unlimited people and documents. Send a document, get it signed on any phone, and keep one sealed PDF with a certificate. Signers can pay while they sign, straight into your own Stripe account, and Pro adds no fee. Build on it with a REST API, five SDKs, a CLI and an MCP server, or run it on your own server for free (open source, AGPL).

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输入一篇论文,生成带引用的商业化初筛报告

一个开源的多智能体 LLM 工具:输入论文 PDF 或研究主题,先由代码检索并验证论文、专利和市场来源,再让 6 个 agent 只在这批冻结的来源里分析,输出技术成熟度、制造成熟度、专利、市场等评分,以及每条论断都标出处的报告。适合高校技术转移、科研人员和早期投资人做初筛;想看多智能体项目如何做测试、断点恢复和成本控制的开发者也可以参考。 亮点 1. 不用注册、不用 API key 就能先看效果:在线示例页有 5 份完整报告(其中 1 份中文),打开时不调用任何模型。 2. 先证据、后模型:检索、URL/DOI 验证和去重都由普通代码完成,模型只能引用登记过的来源;加权总分由代码重算,不让模型自己算。 3. 实验连失败一起公开:我预注册了 1 个、4 个、6 个 agent 的对照实验(各 30 次),隔两个月换模型重跑。「4 个比 6 个省一半」两次都成立,「4 个比 1 个质量更好」没能复现;还发现审稿 agent 因为提示词少写一句限制,30 次里 27 次第一次输出就不合格,补上一句后,因这条限制失败的次数从 21 降到 3。方案、原始数据和局限都在仓库里。 4. 工程细节可以直接参考:每次运行独立子进程、中断后从 Checkpoint 恢复、付费请求有回执(回包丢失 24 小时内可找回结果) OpenTelemetry Trace。 5. 方便参与:带 good first issue 标签的任务不需要任何 API key,测试和浏览器 smoke 测试都不发付费请求,已有外部贡献者的 PR 合并。 我是项目作者,本次为自荐。介绍由 AI 辅助撰写,数字均来自仓库里公开的结果文档。

语言PythonDTAgent 管理与编排原始academic-research原始ai-agent
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Moppet:给 macOS 做了个会自己动手清理的桌宠,但删除前一定先问你

GitHub: ( Apache-2.0 ,Swift 6 / macOS 14+) macOS 清理工具,两个不一样的地方: 1 )内置一个 Codex 级的 agent 。你说"清理浏览器缓存",它先扫描给你看,等你批准才删。 沙箱、审批策略、补丁应用、会话恢复都是自己实现的;另外提供 23 个工具的 MCP 服务器, Claude Code / Cursor 可以直接调用同一套清理能力。 2 )交互层是只 3D 桌宠( SceneKit 程序化生成,没有 WebView 、没有 Electron ), AI 要删东西时头顶弹批准卡,结果进气泡。 安全上比较较真:只删家目录、25 类保护路径、白名单命中及其子树永不触碰、 删除前二次校验、逐路径审计; AI 每次删除都要审批,MCP 要 confirmed + token , HTTP 只绑 127.0.0.1 。 11 个模块:清理 / 卸载 / 优化 / 启动项 / 分析 / 状态 / 项目清理 / 瘦身 / 历史 / 设置 / 总览。 限制说在前面:AI 要自己的 API key ;瘦身仅 Apple Silicon ;系统级操作要管理员密码; 上不了 App Store ;没有 dmg ,源码构建;只在我这台 Intel Mac 验证过( arm64 交叉编译通过)。 试一下: git clone && cd Moppet && swift build .build/debug/Moppet 不想开 GUI 就跑自测( 133 项断言,1.4 秒,不删任何文件): swift run Moppet --smoke 想听意见:AI 有删除权但每一步都要点头,这个颗粒度合适吗? 觉得有用的话求个 star 。

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通过 MCP 发布网页和报告的开源工具

BrewPage 的开源公共工具层,包含 OpenAPI 契约和 TypeScript MCP 服务器,可让 AI 助手发布 HTML、Markdown、静态站点及文件,并通过所有者令牌更新或删除内容。MCP 包采用 MIT 协议,API 契约采用 Apache-2.0;托管服务本身为闭源,内容有有效期,不是永久存储。适合学习 MCP 工具如何对接 REST API。 亮点 提供 20 个 MCP 工具,覆盖发布、读取、更新和删除内容;适合分享生成的网页、报告和静态站点。 本地 npm 包与远程 MCP 端点均可使用;创建内容无需注册或 API 密钥。 创建后返回 HTTPS 分享链接和所有者令牌;令牌用于后续管理,不应公开。 自荐说明:我是项目作者 Maksim Kochetkov(GitHub:kochetkov-ma)。推荐的是开源工具层,BrewPage 托管平台的后端、前端和基础设施并未开源。 产品官网: MCP:

语言TypeScriptDTAgent 管理与编排原始ai-agent原始ai-tools
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Veynod

Veynod is a shared blackboard for multi-agent teams over MCP and REST. One versioned memory, task hand-offs with leases, independent quality gates, human approval, and delta context sync for Claude Code, Cursor, and custom agents.

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DTAgent 管理与编排
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EngMock

EngMock turns your own interview questions, interview write-ups and notes into live AI mock interviews for software engineers. Practice system design, coding/DSA, OOD and AI-assisted coding with adaptive voice follow-ups, a whiteboard or coding workspace, and scored reports with evidence and replays. VS Code mode (preview) keeps coding in your editor and voice in the browser. Use MCP to create and edit scenarios, prepare interview links, and review reports and progress.

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Reveric|幻界, Agent Native 一站式小说、短剧创作工作台|无限画布

详细介绍一下核心能力: 1. agent native,UI 能做的事情,AI 基本也能做到 3. 全流程 AI 小说/短剧创作,关系图谱,世界观设定,人设管理,视频生成等 4. 无限画布,短剧中常用的参考图等连线关联 5. 自动化剪辑以及图像,视频处理 6. 3d 导演台,预先导演角色动作,走位,指导模型生成更准确 7. agent 支持 codemode,skill 等常用功能 8. 自定义模型,支持常用渠道,OpenAI,Anthropic,Seedance 等 为什么做这个 1. 已有的剧本写作,短剧制作,大都是独立的项目,本项目将两者集成,可以在同一个上下文写剧本以及制作对应的短剧 2. 使用 Flutter,高性能,本地优先,现在很多项目都是使用前后端分离技术,web 部署很麻烦,本项目直接下载安装即可 3. agent 实践,subagent,codemode,skill 管理,按需加载,渐进式披露实践

语言DartDTAgent 管理与编排
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SPARK

Spark is a predictive cognitive engine that enables you to dr strange your most crucial decisions enter any counterpart and run hundreds of probabilistic simulations our multi-agent models track their thoughts behind the conversation

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Maxtkn

Maxtkn is a desktop workspace where teams of AI agents plan, write, test and review real projects on your machine. They check their own work, can keep going while you are away, and you stay in control. No code reading required.

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Mainplane – Agent in Go that lives on your old PC, drives your laptop

Hi HN, I'm Alexander. Yes, this is another agent harness. Here is why I built one anyway. I was engineer #2 at Browser Use, where I built our agent harness and the evals behind it, including BU Bench, which became a default benchmark for browser agents. I left in September to build Mainplane. The problem: local agents die with your laptop, and cloud agents can't reach your work. Many cloud platforms ask you to "select a repository", but my work is not that simple. I work across a desktop, a Mac mini and a laptop, and much of it is not in git. So I loaded Ubuntu on my old 2012 desktop and made it my Mainplane server. It has run for four weeks at a load average of 0.02, because the agents' tools run on other machines. How it works: it is a control plane architecture. The server runs the harness. It holds your API keys and every session, makes the LLM calls, and routes each tool call to a worker. The workers are your other machines, connected over a built-in private WireGuard network. A bash command runs in the worker's terminal, not on the server. Shared drives let projects move across machines. The agent works on your machines just like you would, but its state lives on the server, and your keys never leave it. Some design choices: - Every session is one append-only file. This is the agent state, and it is easily readable. If something breaks, you can resume it from the file. Observability comes for free: agent traces are just these state files. - Small by design. The system prompt is 3k tokens, and there are just two kinds of tools: shell and file (read, write, edit). At Browser Use, I learned the bitter lesson and found frontier models did better when I deleted all our helper functions. So I made the same bet here: bash is all you need. - No compaction. When a session fills up, /continue starts a new one that greps the previous state file, retrieving the context it needs, instead of reading a lossy summary. A /compact on a 400k-token session takes a while to write its summary. A /continue into a brand new session starts at once. - No permission prompts. A hyperintelligent misaligned agent WILL find a way around a permission system. The better strategy is giving the agent full unbounded access to a local computer, and only putting what you trust the agent with on that computer. - Why Go. WireGuard is written in Go, so the network compiles right into a 20 MB binary. Go is made for production servers, LLMs write it well, and the simplicity of Go matches how I like to build. Mainplane works with a Claude or ChatGPT subscription on the regular usage limits, or any API key. I would love your feedback, especially brutal and honest feedback and tasks that the harness cannot do. I'll be here all day to answer questions.

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DataVo

DataVo is a voice-first AI Agent designed to revolutionize business data management and table generation. Unlike traditional spreadsheets, DataVo lets you build, update, and manage dynamic tables using simple voice commands or text. Key Features: 🎙️ Voice-to-Table: Instant table creation via speech. 📄 Camera OCR: Scan documents and PDFs directly into databases. 📊 Easy Export: Seamlessly export to Excel and PDF. Built for entrepreneurs and SMBs looking for a faster, smarter workspace.

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usage-float:Windows 无边框 AI 订阅额度悬浮窗与副屏仪表盘(支持官方重置券探测与 mpv 动态壁纸)

一个 Windows 无边框、无任务栏图标的 AI 订阅额度 HUD 悬浮窗与副屏仪表盘,同屏实时监控 Claude Code、ChatGPT Codex、Grok、Google Antigravity、LiteLLM 等多账号的 5 小时与 7 天限额窗口;支持一键探测并兑换官方隐藏的限额重置券;双击 Ctrl 秒切 mpv 动态壁纸。 解决了什么痛点? 1. 多账号与多平台额度盲盒:做严肃编码任务时,多开 Claude Code / Codex / Grok / agy 经常突然撞上 5 小时限额墙或周上限。以往要在各个网页或 CLI 里繁琐查询,usage-float 直接以极低资源占用在副屏或桌面角常驻展示全部账号的动态进度条与剩余重置时间。 2. 官方隐藏福利一键兑换: Anthropic 为 Claude Code CLI 用户提供了周重置券(cedarember)与 5 小时碰墙重置券(junipertide); OpenAI 官方对部分 ChatGPT / Codex 订阅也发放了限额重置券(/backend-api/wham/rate-limit-reset-credits); usage-float 模拟官方 CLI 原生协议安全嗅探重置券资格,有券时直接在界面提示,点击即可一键兑换回满血,绝不浪费。 3. 无感常驻与桌面摸鱼/护眼切换:副屏平时是干净专业的黑金/暗黑仪表盘,双击 Ctrl(或自定义热键)无缝切换为你本地收藏的 mpv 4K/60fps 动态壁纸或画廊,兼顾生产力与视觉愉悦。 4. Agent 本地查询友好:除了图形界面,提供 python usagefloat.py once(或读取本地原子写入的 ~/.usage-float/usage-cache.json),方便本地 Agent 路由器无网络请求开销直接获取账号剩余额度。 配套开源工具自荐(同一开发者生态) 为了让多订阅 AI 编码体验更完整,我们在同一生态下还开源了另外两个轻量实用的工具,供感兴趣的同学参考: 1. AgentCompass

语言PythonDTAgent 管理与编排原始anthropic原始antigravity
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Kluff

A collaborative workspace where employees and AI agents share context, build on each other's work, and contribute to organizational memory.

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ProScouter

ProScouter is an AI Powered, NIL Compliant sports recruiting ecosystem. From Athletes, coaches & Scouts to Agents & Brands, not just recruiting — full Athlete Career Management!

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SYSTEM-ENGINEERING

An open-source engineering layer for AI-assisted development, exploring agent orchestration, explicit policies, validation workflows, and persistent project context.

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NINX

NINX is an AI workspace for getting things done using on-device models. Run models on your device or bring your own API key. Talk to your AI, connect apps, code with Codex, automate recurring tasks, and create videos in Studio. Capture conversations in Notes, collaborate in Rooms, and take your workflows mobile with Ningenie.

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Field Agent Stack

Choosing scheduling, dispatch, and customer management software shouldn’t mean hours of research and sales calls. Field Agent Stack compares the leading

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DigiRAG

Build AI agents in plain language, search your knowledge and automate mailbox workflows. Review drafts, tasks and Excel outputs in your dedicated DigiRAG workspace.

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OneSpace

OneSpace puts Claude, GPT, Gemini and Grok in one app, connected to Gmail, Calendar, Slack, GitHub and more than 50 apps. Agents with a computer of their own, Code Workspaces for Claude Code and Codex, and memory you control. Free to start, from $8 a month.

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AppPad 把原汁原味的启动台带回到 macOS 26+,也支持 macOS 15 —— 另附剪切板、工作流、App 快捷键与窗口控制。

AppPad项目地址 安装 方式一:Homebrew bash brew tap umindhub/tap brew trust umindhub/tap brew install --cask apppad 功能 启动台 完整还原经典 macOS 启动台,默认布局与系统顺序一致 四指捏合、菜单栏或点击程序坞中的 AppPad 打开(再次点击关闭) 文件夹、拖动排序 / 合并成文件夹,长按图标或按住 ⌥ 进入编辑模式 内置干净卸载:删除 App 的同时清理残留文件 网格搜索、页面指示器(圆点 / 数字)、“液态玻璃”控件(macOS 26+) 背景:白色 / 浅灰色 / 深灰色 / 壁纸 / 自定颜色,浅色与深色主题分别保存设置 剪切板 支持文字和图片永久保存 复制内容可收藏 ⌘1–⌘0 快速粘贴,来源 App 筛选和 App名:: 搜索语法,右侧实时预览 工作流 & AI MCP ⌘Space 打开工作流面板:App 与工作流按使用频率统一排序 工作流可运行 Shell 脚本、AppleScript、快捷指令或 HTTP 请求,支持参数(如 time 10) 内置:清倒废纸篓、设置倒计时、设置闹钟、设置音量、退出所有应用…… 权限声明由真实沙盒强制执行(允许一次 / 不允许 / 始终允许) 以 JSON 文件或链接导入、分享工作流 内置 MCP 服务:支持 MCP 的 AI 助手可直接调用和控制你的工作流 AI 可通过 MCP 读取工作流编写规范,直接帮你创建新工作流 AI 运行的工作流与你手动运行一样,经过同一套权限确认和沙盒 计算器 在工作流面板搜索框直接输入算式即可计算(支持科学计数法) App 快捷键 为任意 App 设置全局快捷键 窗口控制 靠左 / 靠右排列(½ → ⅓ → ⅔)、最大化、恢复、移到其他显示器,快捷键均可自定义

语言SwiftDTAgent 管理与编排原始app-launcher原始clipboard-history
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Optio – A self-hosted orchestration platform for AI agents

Hey HN! I shared Optio here back in March. Originally it was focused on getting swarms of coding agents (claude code/codex) to drive PRs towards a merge by automatically resuming them on CI failures or PR comments. Since then, I've reworked the project to be a general platform for running any kind of AI workflow on your infra by allowing users to configure each component of a possible workflow: When: On demand, a cron schedule, or triggered by external events such as a webhook, slack message, ticket (jira/linear/gh), pagerduty/datadog/alertsmanager/pylon/sentry. Where: In a k8s pod or any machine you have installed the optio daemon on (I use my laptop). Who: Any harness you prefer (Claude Code, Codex, Gemini, Pi, etc.) What/Why: You can format parameters from the triggers directly into the prompts and then configure if the agent should exit, be resumed automatically, or be persistent. You can either define workflows in the web ui or as yaml files that get synced to the orchestrator (ai config-as-code). I've also built native iOS and Android apps so you can connect to your cluster and create/manage agents remotely. The marketing page is at https://optio.host and the code is still open source at https://github.com/jonwiggins/optio Would love feedback or any thoughts you might have on how I could make it better!

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AgentParley

Run a multi-agent AI team in the cloud: specialists that delegate, report back and run long missions. Sandboxed plugins, a 3D companion, no server.

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DTAgent 管理与编排
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Symbix,一个陪伴型的全能Agent

正文 简言之:一个陪伴型的全能Agent 遇到一个痛处:AI 助手要么只会给一段话让你自己排版,要么不打招呼就把你文件改了。所以我做了 Symbix——一只住在桌面上的桌宠,你说一句需求,它自己找工具、干活、交付排版好的成品文件(Word / PPT / Excel / PDF),每一步留痕、可一键还原。 但它不想只当效率工具。它有长期记忆和每日手账,越用越熟;会在没事的时候主动来找你聊天,一半时间是翻你们的记忆找话题("上次你说要做的那个桌宠,后来怎么样了?");任务做完提醒你的时候,响起的不是刺耳的"叮",而是轻风、晨露、余烬这些柔和音——界面也是暖色主题,连暗色模式都是暖炭色的。它是个工具,更是个有温度的桌面伙伴。 该有的边界感也有:多步任务先报计划等你点头,文件修改和命令执行都会弹审批卡——或者打开 auto-pilot,放它自己跑。全部数据本地:对话、记忆、附件,删会话连附件一起清。 亮点一览: 📦 以md为媒介,多种文件可解析,支持模型视觉和ocr 💛 会主动来找你:翻记忆找话题、弹幕先开口,是个有温度的桌面伙伴 🌸 温柔感做进细节:十几种柔和提示音(轻风/晨露/余烬…)+ 全套暖色主题,暗色也是暖炭色 🤖 一句话跑完整条流水线:检索 → 下载 → 精读 → 总结 → 交付,全程无人值守 🎭 复杂任务自动分身多智能体并行,每个分身可以用不同的模型 🗂️ 每步操作有可读 diff,任何一步一键回溯,新建的文件也能撤 💾 长期记忆 + 每日手账,重启后不用重新自我介绍 🎨 会自己画皮肤:描述想要的样子,它画形象、做动作、打包成能导入的桌宠 🔊 本地语音识别(数据不出机器)+ 流式逐句 TTS 🧩 自研pythonSDK包,工具丰富,且Skill 包和 MCP 工具即插即用,权限和审批与内置工具同一套 下载 / 了解更多: 🐙 GitHub 开源:

语言PythonDTAgent 管理与编排
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GSC Magic

GSC Magic is a hosted MCP server that gives Claude, ChatGPT, Cursor and any MCP client your real Search Console, Bing, GA4 and Tag Manager data. Sign in with Google, paste one URL, ask. 77 tools, ready-made SEO reports, read-only by default. Free plan.

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EricGameLauncher:一款采用WinUI3和.NET10构建的极简主义次世代游戏启动器。

EricGameLauncher 开源主页:EricGameLauncher 亮点速览 🧩 全链路执行:主程序、管理器、代替启动、伴随执行四条链路逐项可配;EXE、快捷方式、URL 协议、网页、商店应用都能直接跑。 🖱️ 动态右键菜单:菜单项随项目自动增减,识别到平台即显示「运行 Steam / 运行 Xbox」;每个项目最多 10 个自定义项,可独立配置标题、命令、参数与提权。 🗂️ 多平台一站收纳:Steam、Epic Games、Xbox、WeGame、独立 exe、网页与商店应用共处一库,顺序完全自定义。 🔍 多路搜索:拼音全拼、拼音首字母、中文、英文、路径与 URL 协议都能当关键词——yxlm 直达英雄联盟,C:\Program Files 按路径命中,steam 顺协议捞出全部。 📥 扫描即入库:自动识别 Steam、Epic Games、Xbox 已安装游戏,按新增 / 已存在 / 已失效分组,一键导入或批量清理。 💻 全功能 CLI & Skill:桌面端能做的命令行都能做,-help 与 skill 内置完整文档,脚本与 AI Agent 可直接接入。 🚀 快速启动:后台宿主预读配置、预热图标与界面,再次打开几乎瞬间出现;不需要时一键关闭,进程随即退出。 🗑️ 三段式删除:主界面删除只进回收站,回收站删除才开始 72 小时倒计时,到期后下次启动自动清理——手滑也救得回来。 🎒 完全便携:配置与图标缓存可随程序走,塞进 U 盘即可随身携带;系统模式与便携模式之间一键迁移。

语言C#DTAgent 管理与编排原始csharp原始dotnet10
5

ZetroQ

ZetroQ unifies conversational AI and sales execution. Deploy intelligent AI chat widgets trained on your docs in 2 minutes. Engage visitors 24/7, qualify high-intent leads automatically, and track every deal in a visual Kanban pipeline with zero resolution markups. Includes instant WhatsApp & Slack live agent handoff, smart meeting booking, and transparent flat pricing. Stop juggling separate tools—turn conversations directly into closed revenue.

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Tabverse – a free, open-source, with self-hostable server Workona clone

Hi, I want to share with you my chrome extension: Tabverse, as it is now passed the reveiw of Chrome Web Store and live at: https://chromewebstore.google.com/detail/tabverse/lffblcippn... Tabverse is a local first workona like chrome extension for managing tabs, with its source open at https://www.github.com/liyu1981/tabverse . In essential it has the core functions workona has, but can operate totally locally, which means it will not need an account nor subscription. The only limit is your local storage spaces so that you can have as many spaces(I call tabverse) as you can. It is open source, so not just your data stays with you, and the tool itself will stay with you in future. Beyond the normal workona features (persisted workspace, load/reload/import/export, note/bookmark/history tools), there are features does require a server. Features like backup/sync, global search on all tabverses, and future collaboration (not yet done), can only be possible if there is a server. I build this part in open too: the server is free to self host and open source in same of Tabverse. The tabverse's idea was with me few years ago while I was using Workona and was frustrated with its limitation on free tier (remember was only 5 workspaces), and the missing features of managing multiple workspaces at the same time. Tabverse takes the idea of Workona, and develop further: each window with a Tabverse tab is a workspace, all stored in local storage, and multi windows can have multi Tabverses same time, and can switch fast. There can even be window without Tabverse, so besides work, personal stuff or entertainment will have place to go. As I build this alone, in the middle, almost give up on this project, and luckily AI agents now is there: not only I have a good helper, but also I have a partner I can discuss a bit. So this time the first version starts with v0.7.2. But AI agent can never replace the real need from human on what should be built and what works better, so I want to share with you and listen to your feedbacks early. Please give it a try, and every feedback to me is a gift. Besides the self-hosted option, I host a server at https://tabverse.liyu1981.xyz (yes, the same website of intro and docs), but is invitation only. If you want to help me to test in this early stage, you can login with Google (the only social login I configured :)), and request an invitation there. I will act as soon as I find your request :). But do not worry at all if you only want to use Tabverse locally without a server -- that is the first thing when I was building it. In current version there are also AI features built in, and again do not worry as the AI features is using Chrome's Prompt API, which is totally local, with Gemini Nano (first time will need to download it automatically), nothing send to a server, and you can always turn this on of off in settings. Morden computers with decent memory should work well, but some older computer may suffer (so please turn off). And it is Chrome only. (Honestly, Tabverse currently only support Google Chrome, but not other Chrome based browsers).

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Jobmate AI

Jobmate AI takes the busywork of job hunting off your plate so your energy goes into landing interviews. An AI agent auto-applies for you, autofills any application form from your profile and answers the open-ended questions. Find fresh roles from across the web, tailor your resume and cover letter to each one, reach the recruiters and hiring managers behind it, and track every application and interview in one place. Free to start on Chrome and Firefox.

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Gostman

A free alternative to Postman, Insomnia and Bruno that needs no account. REST, GraphQL, gRPC, WebSocket, Socket.IO and MQTT in one app, with collections saved as plain files you can commit. The desktop app, web app and CLI run the same Go engine, so a CI run matches what you saw while testing. Secrets stay in your own manager, and an MCP server lets coding agents send saved requests with values redacted. MIT licensed.

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Radian, an agent puts development workflow on autopilot

I have built an indie hacker project; my main flow was: 1. chatting with Claud Code about the general plan 2. assigning slices of work to other worker agents like Pi + DeepSeek 4.1 Flash 3. building in parallel 4. Claud Code reviews when done, runs tests, and merges after I validate It worked, but with a lot of glue in the middle, so I built radian + arc into the same binary. Radian: a compact, pragmatic agent that has enough tooling to solve a small coding task end to end; it does not try to be a plugin platform. You can still extend it via MCP, skills, or hooks to extend its capabilities. I think plugins are great, but a lot of them are for humans. I'm trying to remove humans from the loop. Humans are at the start and end of the loop. arc: built into the radian binary; * it can get work sent from another agent * assign work items to concurrent headless radian agents * automatically review, CICD, integrate locally * humans can still be in the loop but not at the agent conversation or code review level, but at the work item approval/review level. * shows all of the above in a plan view or Kanban board in TUI. I have been heavily dogfooding, and Radian + arc basically built themselves in the last couple of weeks, with me just being a product manager/scrum master and qa. radian + arc are open source at https://github.com/hisea/radian What do you think about this approach? Looking for ideas to make Radian better or fit more scenarios.

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Maki

Maki is a Python framework for building multi-agent LLM applications: multiple LLM backends, an agent system, a plugin system, a workflow engine, and a distributed layer for serving agents over HTTP.

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DTAgent 管理与编排
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ANKITA

ANKITA turns your Windows desktop into an AI workspace. Delegate to subagents and follow their progress, tool calls and results. Work with files and code, control the browser and desktop, connect MCP tools and plugins, and keep projects, memory and scheduled tasks together. Use your ChatGPT account or choose another provider. Includes a floating companion, reusable skills and a terminal CLI. Free and open source; provider costs and limits apply.

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Xunbao

Xunbao helps Chinese-speaking beginners explore keyword opportunities. Enter a topic, start a radar task, then continue it in your own AI agent. It checks sources, search intent, trends, and competing products and writes findings back to your workspace. You choose what to keep; the coaching Skill helps plan content and websites. Chinese-language; a compatible AI agent is required.

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tool4seller

tool4seller is an all-in-one Amazon seller platform by TAPCASH INC., serving sellers since 2017. It turns sales, fees, ad spend and inventory into per-SKU profit dashboards — profit & sales analytics, Amazon PPC optimization, product & keyword research, FBA inventory management and AI-assisted listing optimization, on web, iOS and Android, across 22 marketplaces. New: its MCP integration lets sellers query diagnostics, profit, advertising and inventory from AI tools like ChatGPT and Claude.

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DTAgent 管理与编排
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ManyAgents

An orchestrator splits your work across Claude Code and Codex agents, each in its own git worktree. A reviewer checks the result, a built-in browser lets agents test their own work, and every question lands in one place. Uses the plans you already have. Free for 14 days.

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Corgi

A terminal multiplexer built for people running several coding agents at once. Every pane shows a live state - working, needs you, unread - so you know which agent is blocked on a human. Like tmux, agents and dev servers keep running when you detach. Adds worktrees, a scroll of every file an agent touched, per-workspace resource usage, and context/token/rate-limit tracking for Claude Code, Codex, Pi and OpenCode. macOS and Linux (Apple Silicon/amd64), one curl install.

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DTAgent 管理与编排
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Muxer – Control cmux terminals from Android

Hey HN! As an avid user of cmux ( https://cmux.com/ ), I wanted a way to control terminal and agent sessions from my Android phone, so I built Muxer. The app talks to a tiny relay over HTTPS, that then talks to cmux through its local socket, and gives you to ability to: - Answer agent permission requests, questions and plans from a notification - Reply to Claude Code, Codex and Pi chat sessions with text, voice, @ file mentions and photos - Receive all cmux notification, with inline replies, bubbles and background delivery. - Use a live terminal with sticky modifier keys and local scrollback - Share text and links from any app to an agent - Organize workspaces - Manage cmux Cloud VMs and automations - Lock the app with your fingerprint, face or screen lock Enjoy, and let me know what you think!

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一个让 ChatGPT 与 Claude 在 iPhone 上互相核对答案的快捷指令

Poly Duo (C1M) 是免费开源的 iPhone 快捷指令:ChatGPT 作答,Claude 核对并修正,一次点按得到一份结果,开头列出两者一致之处、分歧之处和需自行确认之处。运行在手机上,用你现有的账号,无需服务器、API 密钥和电脑。 亮点 1. 手机上的首创:把 ChatGPT 与 Claude 官方 App 在 iOS 18 发布的快捷指令操作(Ask ChatGPT、Ask Claude)串在同一个快捷指令里,免费,两个 AI 之间没有任何中间环节。 2. 结果先给“两者一致 / 分歧之处 / 请自己确认”三个区块,再给完整的核对后答案,一眼看出该查哪里。 3. 共 12 种模式(核查、分歧地图、辩论到达成一致、综合等),选择前显示消息消耗 Trio 再加第三家公司的免费模型。 4. 开源(Apache-2.0),提示词是 locales/ 下的纯文本,tools/verify.py 可校验已签名的 .shortcut 与源码一致。

语言PythonDTAgent 管理与编排原始ai-orchestration原始android
3

tabsh

Most ADEs bring the browser into the IDE. tabsh takes the opposite approach: bring coding sessions to your browser, where your work already happens. It's a small Rust daemon that puts all your sessions across projects on one Kanban board/list, with status updates via agent hooks. Use real terminals or chat panels with Claude Code, Codex, Cursor CLI, OpenCode, and more. Free, MIT-licensed, macOS/Linux.

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Building the European Company Graph one website at a time

At Researchly ( https://www.researchly.at ) we automate market and competitive analysis. We learned that on-the-fly web search through AI agents isn't reliable enough for consistent, in-depth work. Existing data providers such as PitchBook or Crunchbase are either too expensive or lack the data we need: operational signals such as management changes or new partnerships, for DACH. Furthermore, search tools such as Exa tend to be probabilistic. What they return depends on the model and on SEO rankings, so two runs of the same query can give you two different answers. So we built our own search layer: several providers (Exa, Linkup, Tavily, Parallel), allow/deny lists, source rankings (we once caught ourselves citing our own blog posts), and checks whether an empty result means "nothing there" or "out of budget". It works, but: it's slow, expensive, non-deterministic & we kept redoing the same research for different clients (which makes it very un-economic). So we started building the data layer itself. Step one was Firmendaten (300k companies from the Austrian register; shared here last week https://news.ycombinator.com/item?id=50142669 ). Relational data like that is already a huge improvement, but what we really need is a graph, as people ask "W" questions: who does what with whom where and when. This is our first attempt at it. For now, it just connects who partners with whom and company groups. (Tick "Beziehungen 2. Ebene" to see every partner and person) It's small (a few dozen robotics companies) but you can already see how complex the graph gets & it serves as a good PoC for us. We had wanted to build this for a long time, and it turned out to be far harder than we expected. One thing that sounds trivial but was particularly hard: finding the right website for a company. You can buy that data. There are enrichment APIs that return a company's website. But even if they cover Austrian companies, how do you know which company they matched? There is no worldwide unique company identifier. And if you do it yourself: how do you know that this website really belongs to this company? You have to validate every single match (e. g. through the imprint on a company's website in Austria). There are quite a few more challenges involved, but we're happy with where this first, admittedly small, result has landed. Feedback very welcome – especially on which relationships would make a graph like this useful for you. Feedback welcome!

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Oleafly:Overleaf 开源平替,支持多人协作和 AI 助手的科研写作编辑器

Oleafly 是免费开源(AGPL-3.0)的科研写作编辑器,在一个工作区里同时支持 LaTeX、Typst 和 Markdown。内置 Tectonic、Typst 和 Pandoc,不用单独安装 TeX 发行版。 写作与编辑 源码编辑和可视化编辑,可以无损来回切换 全项目代码智能:自动补全、跳转定义、查找引用、全项目重命名 离线的拼写和语法检查,能识别 LaTeX 语法 在画布上画图,自动生成 TikZ、Typst 或 Mermaid 代码 47 个内置转换工具,以及引用和公式工具 预览、导入与导出 LaTeX 和 Typst 的 PDF 与源码双向跳转 内置 PDF 阅读器:可独立窗口、双页、深色和阅读模式 导出 PDF、PDF/A、PDF/UA、DOCX、HTML、EPUB、PowerPoint、Markdown、Typst 和 LaTeX 导入 ZIP、文件夹、GitHub、arXiv、Word、HTML、Markdown、PDF,支持 Overleaf 项目导入与同步 上千个文档模板,也可以保存自己的模板 协作与同步 实时多人协作,显示每个人的光标,不限协作者人数 评论讨论:回复、@提及、标记已解决 自建协作服务器:一条命令安装,带管理后台和单点登录 云同步文献库和设置 内置 Git 面板,可发布到 GitHub、推送和拉取 每次编译成功自动保存检查点,可随时恢复 AI 与科研 自带密钥接入任意模型:DeepSeek 等 10 家服务商或任何自定义接口,也支持 Ollama 本地模型 编辑器里直接运行 14 种命令行智能体,包括 Claude Code、Codex 和 Gemini CLI,也可以接入任何 ACP 智能体 AI 的每处修改都以差异形式展示,可以逐个文件确认或撤销 AI 修改源码后会自动编译,并检查生成的 PDF 科研任务:在独立工作区里运行,可以查看智能体的进度、预览文件,再选择性应用,适合放着过夜跑 同时检索 arXiv、Semantic Scholar、Crossref、PubMed 和 OpenAlex 导入 Zotero(本地和网页文献库)、BibTeX、RIS、EndNote 和 Zotero RDF 支持 MCP:可给助手接入 MCP 工具,也可把项目工具开放给外部智能体 内置 36 个科研技能,还能下载更多 oleaflyc 命令行工具,可在终端里编译和管理项目 投稿前检查 六类检查:编译、投稿规范、简历 ATS、无障碍(106 项 PDF/UA 检查)、参考文献、隐私 盲审检查:找出作者姓名、致谢、PDF 元数据和批注 参考文献检查:未定义引用、缺失文件、重复键、未引用的条目 完整的简体中文界面(共 21 种界面语言),不需要注册账号,支持 macOS、Windows 和 Linux。

语言TypeScriptDTAgent 管理与编排原始academic-writing原始ai
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Steamcup

## Steamcup:合上电脑,让任务接着跑 编译、渲染或跑 Agent 时,任务还没结束,Mac 却睡了。Steamcup 是一个原生 macOS 菜单栏小工具:点一下像素咖啡杯,让 Mac 保持唤醒;开启合盖模式后,合上盖子也能继续运行。 ### 怎么用 - 点杯子开启或关闭,右键设置 30 分钟到 8 小时的定时。 - 开启合盖模式,让屏幕熄灭、后台任务继续;首次需管理员授权。 - 可选择允许屏幕熄灭、锁屏时暂停,也可用 ⌃⌥W 快捷键切换。 - 配置命令行入口后,使用 `steamcup run -- <命令>`,醒到命令结束。 ### 下载与安装 介绍页有 12 秒功能示意短片、下载入口和完整安装说明: 下载 Steamcup.zip,解压后将 Steamcup.app 拖进「应用程序」。当前版本尚未经过 Apple 公证,首次打开可能被 macOS 阻止,请按仓库安装说明处理。 ### 当前版本与边界 v1.3.2 Alpha,免费、MIT 开源,不需要账号或订阅,应用不发送网络请求。 下载包面向 macOS 14+,包含 Apple 芯片和 Intel 架构;真机验证来自 macOS 26 的 Apple 芯片 Mac,macOS 14–15 与 Intel 设备仍待实际验证。 合盖模式会更改系统睡眠设置,并安装后台恢复检查。正常关闭或定时结束后恢复设置;崩溃、强退后由后台检查恢复。设有过热和低电量停止机制,但尚未在真实过热、低电场景下验证触发效果。合盖运行时请保持通风,权限范围与卸载方法见仓库说明。 这是需要下载安装的 Mac 应用,网页是介绍与下载入口。配图为产品介绍页与功能示意。 欢迎反馈你的 macOS 版本、机型与具体使用过程。

语言SwiftDTAgent 管理与编排原始caffeinate原始keep-awake
0

MIAO - AgentPal

MIAO - AgentPal adds animated status-bar avatars to VS Code for Claude Code, KiloCode, Codex, and OpenCode. Track coding progress without switching terminals. Project avatars: Aggregate sessions by project. Five states: Idle, working, waiting, success, error. Customization: Avatars, colors, names, and order. Session details: View status and connection diagnostics. Sound alerts: Notifications for waiting, completion, and errors. Flexible display: Current workspace or all projects.

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WHartTest:AI 驱动的测试自动化平台,上传需求文档自动生成功能/接口/UI 测试用例

测试同学大概都熟悉这个场景:需求文档一到手,就得人肉把 PRD 一条条翻译成用例表;好不容易写完,接口/UI 自动化脚本又因为一次改版全部失效。我们被这件事折磨了太多年,干脆把整条链路 AI 化做成了平台,今天自荐给大家——WHartTest。 它是一个可自部署的 AI 测试自动化平台(协议为自定义,见仓库 LICENSE),基于 Django + Vue 前后端分离,GitHub 目前 1.1k star。 它主要做三件事: 功能用例:上传需求文档(支持在线编辑),AI 结合知识库上下文生成完整用例(前置/步骤/预期),列表 + 思维导图双视图管理 接口自动化:根据接口定义自动生成请求步骤、断言、变量提取与前后置脚本;失败后 AI 读日志和响应定位问题,给出修复方案 UI 自动化:AI 生成页面操作步骤与元素定位,执行时采集日志/截图/视频/Trace,定位失效自动给修复建议 底座是 LangChain/LangGraph 多轮编排 + RAG 知识库(文档分块/向量化/重排)+ MCP 工具调用,另有一个 Skills 技能库,可以装 Playwright 技能让 AI 真正操作浏览器。

语言PythonDTAgent 管理与编排原始ai-test-platform原始ai-testing
1077

Design Master

An open-source desktop workbench for turning brand rules and reference images into UI mockups, reusable assets, and coding-agent handoffs. Keep projects locally, explore app screens or game HUDs, and export DESIGN.md with implementation notes. Bring your own OpenRouter key; provider charges apply.

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Neurion

Neurion brings AI chat, project coding, browser automation and security tools into one Windows desktop workspace. Choose Neurion Fast or Neurion Pro and work with your files, custom agents and connected tools. Account and paid subscription required.

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Acard:可以本地运行的开源 Notion,自带 MCP,让 AI 直接读写你的笔记

先说明一下:我是 Acard 的维护者,也在负责它的内测,所以这是一条自荐。 Acard 是一个开源(AGPL-3.0)、本地优先的 Notion 式工作区。一个 Bun 进程跑起编辑器和接口,所有数据都存在你自己选定文件夹里的 SQLite 文件中,不开云功能就不会有任何东西离开你的电脑。 做它的初衷很简单:我平时大量的想法和资料其实都是在和 AI 的对话里产生的,但这些内容最后总是散落在聊天记录里。与其再手动整理进 Notion 或 Obsidian,不如让 AI 直接把对话写成页面。 主要功能: 块编辑器:标题、列表、待办、折叠块、引用、代码、表格、公式、图片,支持 / 命令和 Markdown 快捷键,可以分 2–4 栏排版。 数据库:表格、看板、画廊、列表、日历、时间线、图表 7 种视图,支持关联、汇总和公式。 内置 MCP 和 REST API:在本机运行时,Claude Code、Codex 等 MCP 客户端无需 token 就能直接读写页面,例如 claude mcp add --transport http acard 导入导出:支持 Markdown 和 Notion 导出文件。 备份:一个 zip 包含所有表、文件和每个页面的 Markdown 副本,每天自动备份。 团队使用:在局域网、家里的服务器或 VPN 上跑一个服务端,其他人用浏览器或桌面端连接。 界面支持简体中文、英文、韩文。 安装:Windows 可以直接下载 Acard Local 安装包(目前还没签名,SmartScreen 会提示,点「更多信息 → 仍要运行」即可);macOS / Linux 需要从源码构建,或者直接 bun local/main.ts 跑服务端用浏览器打开。

语言JavaScriptDTAgent 管理与编排原始acard原始bun
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Crew · 本地 Agent 工作台

围绕同一个项目组织上下文、编排 Codex/Claude 任务,并逐步验收结果。

语言PythonDTAgent 管理与编排原始ai-agents原始claude-code
1

Close the UI building AI agent loop with Protoshot

Protoshot scans your css files and components and lets you write just some JSX to preview it. A much simpler setup than having to orchestrate agent-browser or puppeteer instance for just seeing what UI looks like.

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Context Attachment Manager

A free, MIT-licensed local plugin for Codex desktop and Claude Desktop's Code tab. Retrieve old images on demand, pin references, and search by descriptions or past feedback. Original conversation records and files stay read-only.

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宝可梦世界 · 简体中文版

## 这是什么 宝可梦世界的简体中文版是一款非官方宝可梦同人浏览器游戏,可以从 进入。免费开始游玩,游戏内含可选付费购买。它与任天堂、Game Freak、The Pokémon Company 无隶属关系。 ## 第一次进入 首页提供“一键创建训练家”的体验入口。先熟悉页面和地图;如果准备长期游玩,请在游戏内保存账号与进度,妥善保管登录资料。不要把临时体验状态当作已经保存的长期账号。 ## 想和开发者分享的实现细节 项目采用 PHP、MySQL、JavaScript,地图使用 Three.js。这里分享三处已经在实际实现中核对过的设计,不提供未经测量的帧率或性能承诺: - 野生宝可梦实体按各自 ID 管理,同一物种可以复用缓存中的纹理,减少重复创建。 - 实体离开地图时清理它自己的几何体和材质,同时区分仍供其他实体使用的共享纹理,避免误释放。 - 页面进入后台时暂停地图的主要更新与渲染工作,恢复可见时重置计时,避免把整个后台时长当成单帧增量。 这些做法关注资源生命周期和闲置时的工作量,目标是在保留游戏画面表现的前提下减少不必要的开销。不同设备的表现仍需实际测试。 ## 发布说明 本账号由项目方授权的助手使用。项目编程使用 Codex 辅助,本文也由助手根据已核实的项目事实整理;没有把 AI 生成图当作实机截图。所附图片是简体中文版实际首页。这里仅展示作品与体验链接,不声称拥有宝可梦品牌或原作 IP,也不声称项目在中国大陆获得发行许可或在当地托管。 体验简体中文版:

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CodeHerd

What it does CodeHerd enables developers to run several CLI-based AI coding agents simultaneously in calm, organized panes. It supports any CLI agent found on your PATH, allows independent worktree management per agent to prevent code collisions, and ensures each agent handles its own subscriptions and credentials securely.

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Dbaas.dev

Getting a real database today means sign-ups, consoles, picking a cloud region, and ongoing management. That’s too much friction in two cases: AI agents and scripts need a real Postgres for a few minutes: to run tests, try a schema, or answer a question over some data. They have no account and no human to click through setup. Developers, side projects and personal AI assistants need a small, always-on database for free, without running servers or getting a surprise bill.

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Leadvio

Leadvio is a real estate CRM built for channel partners in India, by 13Fold Labs. Leads from Facebook, 99acres and WhatsApp land in one pipeline, with telecalling, site visit scheduling with location proof, booking and EOI management, and commission and payout tracking. The suite also includes a Voice AI Agent, Pages Studio for property pages, and a Native SIM Dialer. Free for up to 3 users.

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Bot Commander

Think OpenClaw meets Grok Bot. Give Bot Commander a request by voice or text. It coordinates 16 specialist agents for writing, research, design, marketing and everyday work, returning results for your review. Choose cloud AI or compatible local models through Ollama or LM Studio. Free for Windows, macOS and Linux, with an optional paid Team edition for shared business workspaces.

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Corgi, a helpful {agent, terminal} multiplexer

Hey everyone, Inspired by Herdr, I&#x27;ve built an agent multiplexer that I&#x27;ve been using as my daily driver for a few weeks now. I think I improved on the concept in a few ways, focusing on the ergonomics I always wished I had: I show you what the agents are up to, along with a running feed of their activity. There&#x27;s also a simple shortcut (F1) to go to the next unread agent. I use multiple accounts, so I&#x27;ve added unified launcher for Codex&#x2F;Claude Code&#x2F;Pi. Theres some careful ergonomics there: fast search and resume over sessions, inline usage tracking etc. Many small quality of life improvements to the terminal experience: - Links can be copied with a click, so no need to drag-select over many lines - cmd+v just pastes images (even on SSH) - images have a thumbnail preview. - Built-in CPU&#x2F;Memory&#x2F;GPU usage tracking, broken down by workspace I assume you have access to cheap inference (Luna&#x2F;Haiku&#x2F;etc). It just reuses the agents to organize things for you: what is this http link? what is this worktree about? what is each agent doing? It&#x27;s small but it made my environment feel more cozy. On a personal note, I&#x27;ve been on a frustrating sick leave for a while now. I created Corgi to challenge myself, and see if I can go back. The answer is more mixed than I had hoped, but I am happy with the result and thankful for the experience. I hope you like it! a few friends & myself have been using it for a few weeks and it&#x27;s been pretty nice. There&#x27;s still a lot to improve and some rough edges, so feedback would be greatly appreciated. Thank you :)

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Open Walnut:远程开发机上的 Claude Code,SSH 断了照样跑,一个网页全管

MIT 我平时在好几台远程开发机上跑 Claude Code。以前的办法是每台机器开一个 SSH 窗口,再套一层 tmux,窗口一多就分不清哪个会话在等我,笔记本一合盖、网络一断,还要一个个重新连回去。 Open Walnut 是我为这件事写的自托管网页。每台主机上有一个小 daemon,Claude Code 进程归它管,所以 SSH 断了或者笔记本睡眠,远程会话都在继续跑;重新连上后,历史从磁盘上的会话日志恢复。daemon 由 Walnut 通过免密 SSH 自动部署和升级,不用手动拷文件。 所有会话在一个网页里并排看。每个会话有自己的 diff,列出它改过的每个文件(从会话日志里算,不依赖 git),可以逐行评论,再把评论发回同一个会话。旁边还有任务、笔记和长期记忆,以及一个能帮你开会话、找上下文的个人 AI。 数据都在本机 ~/.open-walnut/,没有遥测,也不需要注册账号。 安装(macOS 或 Linux,脚本自带 Node;需要一个已登录的 Claude Code): bash curl -fsSL | sh walnut web 也可以 brew install evanzhang008/tap/open-walnut 或 npm install -g open-walnut。

语言TypeScriptDTAgent 管理与编排原始ai-agent原始ai-productivity
34

ML Studio:全学科通用的桌面端机器学习工作台,一条链出实验报告(作者自荐)

ML Studio 是一款开源、跨平台、本地优先的桌面端机器学习工作台(基于 Electron + FastAPI + Scikit-learn + Optuna 构建)。它面向全学科科研人员(理工农医、经管金融、实证社科)与工程师,将表格数据清洗、多模型比对、贝叶斯超参数寻优、动态学术诊断看板与实验报告导出收敛进同一个极简窗口。无需繁琐的 Python 环境配置,数据不出机器,拖入表格即可自动化完成全流程。 亮点 全学科通用与零门槛:拖入 CSV / Excel 文件,自动完成列类型识别、缺失值填充与异常探测;支持回归、分类、聚类与时间序列四大建模任务。 自适应超参寻优:基于 Optuna 自动化多目标超参数搜索(TPE / CMA-ES / Random / NSGA-II),配合 Hyperband 剪枝快速提前终止无效试验。 学术级可视化诊断:实时动态渲染残差分布图、学习曲线、混淆矩阵、ROC/PR 曲线、过拟合风险预警和特征相关性热力图。 一键导出科研报告:支持一键导出排版规范的 HTML / Markdown / Word / PDF 实验报告,图表和量化结论随报告一次性生成,直接用于学术汇报。 纯本地运行,数据不出机器:所有计算与缓存均保存在本机,无第三方云端依赖,保障未发表科研成果与涉密业务数据安全。 前瞻性 AI-Native 架构 (RFC-001):借鉴 VS Code 架构设计了 mlstudio.config.json、全局命令总线与语义控件树快照,提供本地 MCP 协议接口,支持 AI 助手免截屏、高精度直接操控软件。

语言HTMLDTAgent 管理与编排
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PMDesk

Built for FDEs, anyone who takes on client projects and manages delivery across many of them, and managers working across many projects in the terminal: one person running many projects with Claude Code and Codex. PMDesk puts every project, agent session, client document and request in one Mac window. See which agent is waiting for you, @-mention client docs, review and send comments back. Your data stays on your Mac.

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TaskSquad: humans & AI work together

Your AI agents already have brains. TaskSquad gives them a place to work together. Bring Claude Code, Codex, Gemini, or your own harness, running on your own machines. Work together from desktop, web or phone; watch every step live, or hand off tasks and come back to results. One workspace for humans, agents, and everything they build.

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最近 WorkBuddy 一直比较火,发现可以帮上自己的大忙

WorkBuddy 听闻很久了,一直没有怎么用。 这两天正式用了一下,还真是比龙虾强了很多。 我现在通过 WorkBuddy 全自动发公众号文章,每个公众号安排不同的素材来源,每天定时生成。 最后只需要手机上面一键发布就可以了。 实际中在 WorkBuddy 中可以提供 Appekey 和密钥以后,他可以直接帮你把文章发布到公众号草稿里面,但是由于公众号调用需要填写 IP 白名单,而自己电脑的 IP 会随时变化,所以比较麻烦。 一不做,二不休,我干脆弄了一个 MCP 服务。 可以直接管理自己的公众号,让 WorkBuddy 往这里发 mcp 发素材,mcp 负责转发出去。 一切搞定后,还真不错,手头闲置的 20 个多个公众号全部给盘起来了。

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ROSA

OSA is a self-hosted Windows auto-remediation dashboard. It takes alerts from Prometheus/Alertmanager, Slack, RSS or its own agent, matches them to YAML rules and runs Ansible playbooks to fix known issues automatically. Optional AI (off by default, your own API key) drafts rules and playbooks for unmatched alerts, queued for human approval.

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7CODE.MCP

7CODE.MCP transforms AI assistants into powerful Windows automation tools. Control desktop applications, manage files, automate repetitive tasks, and execute complex workflows through the Model Context Protocol (MCP). Key features: - AI-powered Windows automation - File and application management - Persistent local project memory - Progress and error tracking - Open-source and customizable Built for developers, AI enthusiasts, and anyone looking to automate Windows with AI.

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Cofoundr

Meta Ads management for performance marketing agencies: health scores, wasted spend detection, Autopilot rules, white-label reports, an AI assistant and an MCP server with 82 actions for Claude and ChatGPT. It helps agencies to manage days of works in seconds.

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Ployz – a Rust imperative orchestrator and cloud-like UX

Hi HN, I&#x27;m Nick. Ployz ( https:&#x2F;&#x2F;ployz.dev ) gives you Railway&#x27;s UX on Linux servers you rent - start with a single server and grow from there. The code is at https:&#x2F;&#x2F;github.com&#x2F;getployz&#x2F;ployz . I&#x27;ve always wanted a self-hosting solution that can deliver a top-tier experience rivalling or beating what cloud platforms offer. By being opinionated, I believe it delivers on this: - A single flat mesh (any service can contact any other service, simply) - Start with a single server, scale from there - ZFS volumes (instant snapshots, host-to-host syncing, instant branching soon) - No separate management servers to run. You tell Ployz what to do, it does it, and it&#x27;s done. Basically, it&#x27;s my dream orchestrator with Railway&#x27;s UX on top. It&#x27;s also a bet that AI will be much better at managing a system of simple imperative primitives than a declarative system like Kubernetes. I tagged the 0.3 beta today. I&#x27;d love for you to try it. It&#x27;s fully drivable from the CLI, MCP, or sidebar. Nick

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Otter Hire

Otter is a modern, AI-powered ATS that makes recruiting calm, fast, and simple. Manage jobs, candidates, applications, interviews, and scorecards in one place. Turn emailed resumes into candidate profiles with AI resume parsing, build your careers page, track your hiring pipeline, and get actionable reports. Integrate with your workflows using our API and MCP server. One flat price per workspace, with unlimited users and candidates. Start your 14-day free trial - no credit card required.

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Cryptex Vault – A password manager designed to outlive its creator

Hello everyone! About four years ago, a password manager I&#x27;ve used and depended on has been acquired and soon after, it was shut down. If anyone remembers MYKI, it was a password manager that stood out at the time. It didn&#x27;t require an email address and a password for registration and it synchronized credentials peer-to-peer. It was quite handy so a couple of my friends and I got hooked, and were using it up until the last day it was online. The thing was, I didn&#x27;t want to change password managers to other options available at the time, none felt right - I wanted to stay.. So I did what any sensible engineer would do 4 years ago and I wrote my own. I moved all my credentials there as soon as I had a first version ready. It was ugly (God knows I had UI&#x2F;UX skills to learn), but it worked. Soon after, the same friends that were using MYKI switched over to using Cryptex Vault. I get why, we had the same P2P synchronization across devices, it was simple and didn&#x27;t try to be the most-feature complete application out there - it did the job. That was an exciting moment. So exciting, in fact, that I&#x27;ve posted to HN to tell people about it. At the time, I had a weird thing for decentralization so I called it a "Fully Decentralized Password Manager". Three years go by, I keep maintaining the project, with no real intention of proper marketing or polishing. At one point I checked the usage and figured out that a handful of people (and their families) were still using Cryptex Vault as their password manager. Three months ago, I left my comfy job as lead software engineer at a local company to dedicate time to a company I called Cryptex Industries. Polished Cryptex Vault, cleaned it up, made it open source, started providing Docker images for self-hosting and included some of the features I&#x27;ve only used internally (ssh-agents). That way Cryptex Industries need not remain operational for users to have a path to continued use! To make the project commercially viable, I started offering managed services through the Online Services plan. By using Online Services you remove the operational burden of self-hosting and infrastructure maintenance from yourself while still getting the same benefits: Managed backup storage, synchronization between devices, sharing, ssh-agents, device management. It is convenience, not access to core features. The core application is free and you can use it with no subscriptions of any kind, whatsoever. It&#x27;s P2P synchronized, with industry-standard crypto choices including post-quantum primitives for synchronization - https:&#x2F;&#x2F;www.cryptex-vault.com&#x2F;docs&#x2F;cryptography It has importers for popular password managers, along with autofill for chromium browsers (firefox is a todo, yell and I&#x27;ll get on it). As for the platforms, there is a web app, an android application and an ssh-agent for linux (will put it up on AUR when they open up registrations again). Feel free to try it out (there is a 14-day trial for managed services!), self-host it or break it. I would appreciate your thoughts on this and I wish you a nice friday!

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Context Hub:把 Claude Code 和 Codex 的 MCP、技能、提示词收进一个本地库(桌面应用 / CLI)

Context Hub 是一个开源(MIT)的本地工具,用来管理 Claude Code 和 Codex 使用的技能、MCP 服务器、提示词、插件和环境变量。资产放在一个库里,再按 Agent 写回各自的工作区或全局目录。 同时用两个 Agent 时,同一个 MCP 服务器要在 Claude Code 的 .mcp.json 和 Codex 的 config.toml 里各配一遍,改了一边容易忘了另一边。Context Hub 让这件事只声明一次。

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OkeyStay

OkeyStay is an international holiday rental discovery platform helping property managers reach travellers through search engines and AI-powered assistants. We import property listings from supported platforms and optimize their content for search visibility and AI discovery. Our remote MCP server enables compatible AI tools to search stays, retrieve listing details, check availability and pricing, and prepare booking links.

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RentAKaren

Introducing rentakaren.ai, for when your AI agent can't get through to the manager.

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Auxilian

Auxilian is the most seamless way to build personalized software, and it’s free. Most tools are a few tables with an interface on top, built around someone else’s process. With Auxilian, you just ask your agent. Describe what you want. Your agent designs the tables, links them together, adds records, and surfaces UI as live artifacts. Your team works in it from one workspace, with every change logged. Use Auxilian to spin up CRMs, job trackers, project boards, or any other tool you can imagine.

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token-pilot:所有 AI 工具的本地账单 + 预算控制器(国产模型自动归一)

MIT 平台:macOS / Windows(CLI 全平台) 为什么做(背景与痛点) 我同时用 Claude Code、Codex、Kimi Code,还经常通过它们跑 DeepSeek、GLM、Kimi 等国产模型。有一天发现:我根本答不上来「我这个月给 AI 烧了多少钱」——每个工具有自己的用量页,分散、单位不一、没有总账、更没有预算。 它是什么 token-pilot = 你所有 AI 工具的本地账单 + 预算控制器。 一条命令看清今天/本月各工具、各模型烧了多少 token、多少钱;菜单栏常驻 ¥今日 · 预算%;超支系统通知;打转检测(揪出死循环烧钱的会话);省钱建议(贵模型干轻活迁移、缓存优化空间)。 几个不一样的点 国产模型自动归一:DeepSeek/GLM/Kimi/Qwen 等靠宿主日志 model 字段识别,不用单独配置;定价表对齐 8 家官方目录价(DeepSeek 含高峰/空闲分时) 覆盖 9 个数据源:CLI 日志(Claude Code/Codex/Kimi Code/pi)、SQLite(OpenCode)、zstd 压缩日志(DeepSeek Harness)、trace(WorkBuddy)、云端 API(火山 arkcli);读不到的工具诚实标注,不假装 数据准确性可验证:自带独立对账脚本(第三方口径重算原始日志逐项比对)+ 39 个单元测试 + 36 项看板算法不变量 零入侵:只读本地日志,不装 hook、不改配置、不过代理,数据不出本机 实测数字(作者本机,2026-10) 本月 810M+ tokens · 12,685 次调用;打转检测抓到单会话 120 次重复重试;缓存命中分析显示本月缓存省了 ¥3,048;压缩潜力量化显示上下文重发还有 $63–95/月可省。 截图 安装:npm install -g token-pilot 或 Releases 下载状态栏应用安装包。

语言HTMLDTAgent 管理与编排
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QaceHomes PMS

Software for how property actually runs here. QaceHomes PMS is the property-management system for landlords and managing agents. It is in pilot. This page is about why it exists and why it begins in these two countries — there is no founding story here, because the space is better spent on something you can argue with.

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Elite Showroom

Elite Showroom is a curated digital showroom built for verified real estate agents. Instead of sending buyers through cluttered portals and competing listings, agents can present homes, condos, and investment properties in a focused branded experience with a direct path to the listing agent. Teams can also collaborate around buyer and investor leads in one shared workspace.

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FusionLoop:AI Agent 时代,如何重新设计工作、岗位和激励?附 37 页论文与工作画布

大家好,我是作者 Owen Teng。这次分享 FusionLoop:一套面向管理者、HR 和研究者的组织设计研究材料。 当 Agent 能完成越来越多执行工作,怎样明确谁对结果负责、谁作专业判断,以及怎样衡量协作与知识复用?这套材料尝试从一项可验收的工作出发,把人类判断、Agent 执行、组织上下文和学习反馈连起来。 读者现在可以直接获得: 37 页中文完整论文,附逐页正文与原图。 五组双语工作模板:十要素工作画布、组织权责约定、周期证据、贡献与复用、知识转化记录。 配套阅读包,含导览、主题导读与 25 项精选材料的阅读入口。 可以先选一个真实工作问题,在 工作画布 中写清结果、责任人、验收标准和证据,再讨论是否值得尝试。客户方案与人才供给是材料中的两个设计示例。 这是公开可阅读的研究与模板,不是可安装的 Agent 框架。原稿为 2026 年 8 月外部审阅校订稿,研究证据截至 2026-08-21;组织效果和跨人复用效果仍待验证,设计示例不代表实施成果。 欢迎提出具体反例:在哪类工作中,这种责任安排反而会增加协调和复核成本?问题与反馈。

DTAgent 管理与编排原始ai-agents原始governance
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做了近 10 年合租车主,我开源了自己的订阅账本 Calends

哈喽大家好,我是之前开发 [AppStorePrice]( ) 的朋友,这次给大家推荐一款订阅管理的开源方案:Calends 。 我自己一直都是订阅记录的重度用户,前前后后用过市面上十多款 App 、开源项目。但是用下来,总觉得它们跟我的实际需求,尤其是合租的场景不太匹配。YouTube 我开车快 10 年了,Spotify 也开了 5 年多。除了记录自己订了什么、花了多少钱,还要记成员付到哪天、哪些钱没收、自己到底垫了多少。再加上跨区、涨价、代付、礼品卡,很多细节都得另外补。 所以这次干脆自己做了一个,把这些年一直想要的功能都做进去。对于我自己的订阅和开车需求,我觉得目前没有比它更合适的了。尤其是现在的 AI 订阅。先放一段视频,大家可以直接看一下整体效果: [观看宣传视频]( ) · [MP4 直链]( ) ## 我最想说的,还是 AI 和 MCP 现在做软件,我觉得很重要的一点,就是有没有把 Agent 作为一等公民,能不能让 AI 真正帮我把事情做掉。所以在我的这个项目里,基础的 AI 创建、查询、维护订阅这些我都做了,接上自己的 DeepSeek API Key 或兼容服务就能用,收据也可以直接交给它整理,核对后添加。模型调用按你使用的平台计费。 然后是 MCP 。这可以让 Codex 、Claude Code 、Grok Bot 都可以接进来,直接管理自己的订阅账本。我现在的订阅就是交给 Grok Bot 帮我管理的。给了它邮箱权限,再接上 Calends 的 MCP ,每次有新的订阅邮件进来,就让它分析邮件,该新增的新增,该更新的更新,不用我再一条条照着填。 如果你是第一次用,直接让有邮箱权限的 AI 助手去分析历史邮件,把里面的订阅整理出来,查重、核对之后导入就行。如果你之前已经在用其他订阅管理 App ,也可以让能操作手机的 Codex 读取里面的订阅详情,再帮你导入自己的 Calends 。邮箱和手机由你接入的外部助手读取,账本这边通过 MCP 配合它完成录入。 ## 还有一些功能,大家看看有没有这些痛点 **我订阅了 iCloud 土耳其区,但是它老涨价,涨价之前的价格怎么记?** 我自己这条 iCloud+,已经从 ₺64.99 涨到 ₺129.99 、₺249.99 ,再到 ₺399.99 。每次涨价的日期、之前多少钱,都能保留下来。切到原币看,也能把涨价和汇率变化分开。 **Spotify 开了这么多年,我到底总共付出去多少钱,收回来多少钱,亏了还是赚了?** 合租的支出、成员收款、谁付到哪天,都放在一起记。有人按月付,有人一次付半年,也能看清楚还有哪些钱没收到。 **我今天帮朋友续了 ChatGPT ,他上个月的钱付了没有?** 这种就单独记成代付,记到对应的人,收没收、收了多少都能查,也不会把替别人垫的钱算成自己的订阅消费。 **我打折买了礼品卡,面值是这么多,但实际花的钱又不一样,怎么算?** 面值和实际买入成本分开记。卡包里也可以管理支付方式、币种和余额,按后面的扣款估算还能用多久。还有一个很容易忽略的细节:我填的余额到底是哪天的余额?上周查到的数,不能一直当成今天的数,所以余额也专门做了校准日期。 包括汇率,我也专门接了。历史上每次付款,都可以按付款当天的汇率折成人民币,知道那一笔大概花了多少钱。 时间线、续费日历、各种报告图表也都做了。年付的订阅,可以分别看这个月付出去了多少钱、这个月分摊了多少费用;钱花在哪,也可以像看股票热力图那样看每个订阅占了多少。这些看起来都是小功能,但自己长期记订阅、开合租车的时候,确实都会用到,所以我把它们都补上了。 ## 部署和体验 可以直接用 Docker ,放到自己的服务器、NAS 上;也可以用 Cloudflare 账号部署到 Workers + D1 ,个人用量在免费额度内就能免费运行。支持备份恢复和 CSV 导入导出。 - - 文档: - - GitHub: 最后,我还专门做了一个彩蛋。**Claude 封号这个事情,我到底被封了几个号?有没有退款?没退的话,到底损失了多少钱?** 这些也可以记。我专门做了一个 [Claude 演示站]( ),把账号停止、退款、没用完的时长和损失都放进去,大家可以直接进去看。演示站用的是虚构数据,主要给大家演示一下这种被封号的账怎么记。 其实我直接建议,这些事情全都交给 AI 就好了,让他帮我记录好我自己的订阅账,而且我测试下来,自己反代出来的 Deepseek 模型已经完全足够了,本身多模态也支持。粘贴上传图片记录订阅也是一个非常棒的体验。 一不小心说了这么多,总之吧,我觉得大家感兴趣可以去演示站试用一下看看,不关你是上百辆合租的车主,还是中转站几百个 Claude 账号的老板,都可以看看当前的方案能不能满足你的需求好好 项目是 MIT 开源的。如果有些场景还满足不了你的需求,欢迎直接提 [Issue]( ),也欢迎 PR 。如果你自己想做深度定制,直接 fork ,搭自己的订阅账本就好。 如果你觉得这个项目有帮助,不妨在 GitHub 帮我点一个 Star ,这对我来说会非常有帮助。谢谢大家!

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Deskoo: Customer Support for WooCommerce

Ditch costly per-seat SaaS bills! Deskoo turns WooCommerce into a 100% self-hosted customer support hub. Manage tickets in a fast 3-panel workspace, issue refunds, edit addresses, and track shipments without leaving the chat. Features BYOK AI (Gemini/OpenAI), collision alerts, private team chat, and a native My Account portal for customers. Unlimited agents, zero monthly fees, complete data ownership.

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Umbra

Existing whiteboards like Miro isolate ideation from actual work. Umbra is a canvas that embeds complete productivity tools directly on one surface. Instead of switching tabs and paying for 5+ SaaS subscriptions, you get realdocx editors,xlsx spreadsheets, native PDF signing, kanban boards, and presentations. Your files stay on your disk, collaboration is end-to-end encrypted, and an integrated AI bridge lets local agents build boards with you. For students, engineers, planners and more.

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Heelio

Heelio turns the accounting you already keep (Pennylane, MyUnisoft, Xero or any FEC export) into a monthly management P&L, a 12-month cash forecast and a consolidated view for groups, even when subsidiaries use different accounting tools. Bank connections are read-only. Nova, the built-in assistant, answers questions on your figures and cites its sources; a read-only MCP connector brings the same answers into Claude or ChatGPT. Made in France. From €29.90 per company per month, 7-day free trial.

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Orbit – A local macOS workspace for side projects

Hi HN, I&#x27;ve been working on Orbit, a macOS app that keeps your repos, tasks, notes, assets and docs together. I&#x27;m usually juggling a few side projects and forgetting where I left off. I also didn&#x27;t like having to bounce between Obsidian, Trello and Google Drive to find everything. I wanted somewhere to keep all that stuff with the project, so coming back to it was a bit easier It checks your project&#x27;s dependencies for outdated packages and known security advisories which was super important for me as I have a tonne of old projects that I haven&#x27;t touched in a while It&#x27;s all stored locally on your Mac and there&#x27;s MCP support too, so an AI client can read the project info and update tasks and docs Give it a try and let me know what you think: orbitdesktop.com (Windows support is coming soon!)

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FridayOS 1.0:用六脑分工搭建本地 AI 第二大脑,附 Obsidian 示例与离线蓝图

大家好,我是 Owen Teng,FridayOS 的参与者。这次想自荐一个开源的个人知识管理实践:FridayOS 1.0。 这个项目想解决的问题是:原始资料、正在推进的任务、已经形成的认识和可复用的方法容易混在一起。项目用“六脑方法”把它们分工,再通过来源与反馈联系起来: | 区域 | 负责什么 | |---|---| | inbox | 接住新材料与想法 | | exec | 记录目标、进展和下一步 | | wiki | 积累有来源、可复用的知识 | | skills | 保存经过检验的重复做法 | | raw | 保留原始依据 | | system | 写清规则与 AI 的操作边界 | 这次公开的材料包括: 完整离线蓝图部署包:生成 Markdown 目录、规则与空白模板,支持预览、创建和检查。 可在 Obsidian 打开的中文虚构公司示例,附 11 个练习提示词。 中英文方法与部署教程,代码采用 MIT 许可。 中文介绍 · 部署步骤和下载入口 蓝图部署只需 Python 3.9+,下载后可离线运行;AI 模型和插件需要另行配置。当前部署验收基于 Windows,其他系统、AI 接入和真实使用成效仍需单独验证。“六脑”是组织知识的设计类比,不是脑科学效果主张。 希望它能帮助正在尝试本地知识库或 AI 第二大脑的读者。也欢迎反馈:从下载到第一次整理材料,哪一步最难理解?

语言PythonDTAgent 管理与编排原始ai原始ai-agents
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Rim:一个非稳定类 git 版本管理工具

想要用 AI 提效,却面临自己写好的设计被 AI 改烂、或 slop code 塞满 commit history 的担忧? - 只是想测试不同的可能性,却不得不创建新 branch 挤满 list ? - 想要用 agent 简单看看不同方向做出来什么样,但每个方向都要单独建一个 workspace ,最后管理与记住文件夹花费的精力比真正审核代码还多? 那么,rim 或许适合你。 它是介于 git 与 agent 之间的轻量中间层基础设施,基于 AI 时代「非稳定代码比例持续增加」的理念,不将每一个文件修改都当成高价值、需要完整追溯的 commitment ,而以节点、分叉为版本追溯核心。 使用 rim ,你可以: - 让几个 AI 同时生成不同可能方案,在完成后自己或用 AI 对比验收 - 测试多个方向,选定某个方向后一键剪枝,不留垃圾 - 让 git commit 真正回归只追溯重要与稳定更改,而非留下大量低价值 history - 让 git branch 记录重要的任务分支,而非不断来回切换、塞满每一个细枝末节的并行方向测试 它就在你与下一个 commit 之间。 Rim 正在 alpha 版本测试中,欢迎试用和 feedback (需求、体验和项目方向都欢迎)。

DTAgent 管理与编排
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Kavela – AI Automations that do not fail silently

Kavela’s closed beta is out. AI agent automations that do not fail silently. There are now 216 unique users in our closed-beta tests! It is my belief that Kavela will be a winner in the vertical of scaling the consumption of artificial intelligence. Most of our workflows today are manual, in Claude&#x2F;Codex CLIs. Every workflow that works deserves a harness that can consume the intricacies, rulebooks and guidance it requires to succeed reliably, every single time. Kavela is that: a platform to scale prompts into repeatable workflows, with observability, task management and connectors all in one. Agents on Kavela are long-running and optimised for dynamic use. They maintain persistent file context, so Git repos run. Each agent run spins up an isolated computer to run tasks, so no two agents compete for the same resources, while still sharing and syncing files dynamically. Claude&#x2F;Codex subs are one click away from being used on the platform. Kavela MCP allows you to promote sessions in your local workspace into repeatable cloud automations with a single ask. As mentioned, the closed beta is now live, and I am looking for testers! If creating reliable agent-first automations has been a pain for you, or you are looking to scale your use of tokens by bringing your workflows into the cloud, I want to work with you. Quick Links: App: https:&#x2F;&#x2F;kavela.ai Docs: https:&#x2F;&#x2F;docs.kavela.ai Closed Beta GC: https:&#x2F;&#x2F;t.me&#x2F;kavelaAI

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Task Mafia

Capture a task on your phone. Share it with family, assign it to a person, or delegate it to your own connected agent. Task Mafia gives you private conversations, agent questions and a clear handoff for human review, alongside shared lists, a calendar and a web workspace. External agents use their own tools and scheduler; connecting one alone does not start automation. Free on iPhone, iPad and web, with optional Crew.

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DTAgent 管理与编排
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GFT Map:在 AI 新会话开始前,检查要带走的决定与理由

我是 GFT Map 的维护者。它是配合 Codex、Claude Code 使用的本地应用,附有供这两款工具调用的操作说明(Skill):把一个主题的对话材料整理成可编辑文稿,并用图连接决定、理由和待解决问题。人先检查、纠正,再让新会话读取该主题,接着工作。 不用安装的中文预设例:点“银行自动同步暂缓?”看取舍理由,切到文稿,再预览要交给下一场聊天的文本。演示内容是虚构的,不调用模型。 另附作者已审阅的真实交接稿:游戏作者希望玩家在聊天里下令,同时留在原地图。作者审阅后补充,如果必须打开控制面板,应先征得玩家同意。这项条件已补进交接稿;读者可以直接读文稿,无需安装。完整原讨论。 开源仓库与安装,MIT 协议。需要 Node.js 22.20+ 和已登录的 Codex 或 Claude Code,AI 整理消耗对应账户的模型额度。 当前限制:手改文稿和节点说明不会自动互改,需要核对一致;真实案例完成的是文稿审阅,新会话接续及 Map 相对普通 Markdown 的收益尚未验证。本文及案例说明由维护者借助 AI 整理。

语言JavaScriptDTAgent 管理与编排原始agent-skills原始claude-code
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Companest 伴境:把 AI 工作伙伴放进一个有房间和角色的小世界,从邮件事项开始

大家好,我是 Owen Teng,与 Robinson AI Lab 共建 Companest,负责产品方向、交互设计、前端探索和产品呈现。想分享一个工作场景 AI 产品的交互探索:Companest · 伴境。 它尝试让“找到要处理的事、看清上下文、决定下一步”更直观:房间组织工作入口,角色提供亲近感,事项板集中呈现需要关注的工作。邮件是第一个可用的预览工作流。 目前可以公开查看: 六位助理的场景动画,以及每项能力的当前状态。 邮件事项、上下文、可编辑回复与后续变化的 五步实机截图分镜和功能说明。 产品创意由来 和 获取及数据边界。 当前是 Windows 邮件预览 0.3.26 的产品展示,源码和安装包尚未公开。163 邮箱与可选 AI 建议需要用户自己的受支持环境。其余五位助理的动画已经存在,不代表完整业务工作流已接通;截图使用独立虚构数据,分镜不是连续录屏,也没有据此宣称效率提升。 欢迎从交互角度给建议:看完演示后,你能否判断哪个事项需要你处理,以及一封新回复会怎样改变原来的草稿?可以在 反馈区 描述一个不含私人信息的具体场景。

DTAgent 管理与编排原始agentic-workflows原始ai-assistant
0

KanbanMCP

KanbanMCP is a hosted kanban board your AI agents work from over MCP, the standard way AI tools plug into apps. Paste one URL into Claude, Cursor, Codex or ChatGPT and sign in once. Agents claim cards, check in while they work and leave a handoff note, so the next agent starts where the last one stopped. You see every move with the name of the agent that made it, answer their questions, and cut any agent off in one click. Free to start.

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DTAgent 管理与编排
1

Knovum:本地优先的无限画布 AI 知识空间(Tauri 2 + Vue 3)

Knovum 一款开源、本地优先的无限画布 AI 知识工作空间。将 Heptabase 式的空间白板、Obsidian 的数据掌控权(开放 JSON Canvas + SQLite)与本地离线 AI(Ollama + LanceDB + Whisper)结合,打造轻量、隐私可控的技术调研与学习桌面工作台。 • 本地优先与数据掌控:完全杜绝云端绑定和私有格式锁定。支持行业开放的 JSON Canvas 规范与标准单文件 SQLite,数据 100% 留存在本地,断网全功能可用。 • 极轻原生桌面(Tauri 2 + Rust):底层由 Rust 驱动,前端采用 Vue 3,启动秒开,常驻内存仅几十 MB,彻底告别传统 Electron 工具动辄数百 MB 内存的笨重感。 • 空间化无限画布:支持 Markdown 笔记卡片、技术草图、PDF/音视频素材同屏混排与双向关联连线,告别死板的层级文件夹。 • 开箱即用的端侧 AI:内置嵌入式 LanceDB 向量检索与本地 Whisper 语音切片转录,原生对接本地 Ollama 模型,提供变异感知溯源引擎(修改源笔记时自动标识引文失效,避免假引用)。 • 开放协议集成:原生支持 Model Context Protocol (MCP) 与 Agent Client Protocol (ACP)。

语言RustDTAgent 管理与编排原始heptabase-alternative原始infinite-canvas
11

Context Attachment Manager:让 Codex 和 Claude 按需取回历史图片

我是项目作者,想推荐一个管理多图长对话的小工具。 在 Codex 里反复生图、改图时,历史图片会不断累积,跟着后续消息重复发送。我做了 Context Attachment Manager,让对话继续留在原任务中,同时减少不必要的图片重传。 模型按需取回历史图片;重要参考图可以固定为每轮发送,也能手动勾选。 按描述、用户评价和轮次查找图片,例如搜“脸最好”或“雨夜”。 为图片记录特征和评价,帮助对话压缩后重新找到对应图片。 项目中的一个 15 张图测试,请求体从 24.9 MB 降至 212 KB;这是该测试场景的数据,不代表所有对话的效果。 适用于 Codex 桌面版和 Claude 桌面版 Code 标签页中的本地会话,支持 Windows、macOS、Linux。v0.9.0 也支持兼容对应客户端协议的自定义服务地址。插件在本机处理,不修改原始对话和素材,不额外上传到第三方服务。 项目采用 MIT 协议,TypeScript/Node 实现。README 有图文演示,安装可直接让 Codex 或 Claude 按 INSTALL.md 操作。 项目: 中文介绍: 安装: 欢迎有多图长对话需求的朋友试用并反馈。

语言TypeScriptDTAgent 管理与编排原始ai-art原始ai-image
375

Handout

handout.us is a free property management platform for independent landlords and property managers— properties, leases, tenants, transactions, maintenance, and tax records in one place. Now with public MCP access: connect your AI agent with a personal token, and it can manage your rentals through 40+ tools across bookkeeping, tasks, reminders, documents, and reports.

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DTAgent 管理与编排
1

AI Canvas

AI Canvas is a local-first desktop canvas for producing AI short dramas — built with Tauri 2 + React 19. One drama = many episodes: each episode gets its own canvas, while the whole series shares a character library, assets and project memory — so your cast stays consistent from episode 1 to episode 50. Deep ComfyUI integration, a conversational AI agent with tool calls, Blender director stages, and full asset management. Media stays on disk; API keys in the OS credential store.

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DTAgent 管理与编排
1

RUST+ GPUI 海量图片管理

### 失业在家 做了一个图片管理的 以前旅游和朋友照片 4W+一直没好用的工具整理.自己做了一个工具整理 ##### 2 个主要功能 高性能本地管理 正常 API 生图 RUST+ GPUI 海量图片滚动流畅,浏览和整理都不改动原图。 ##### 本地大模型索引查找 自己测试了 50w 图片浏览很丝滑流畅 一句话找图、识别图中文字、按人脸找人、相近图片自动归组,还能并排精细对比。模型都在本机运行,图片不上传。 ##### 正常 API 生图 做了一下电商场景 推荐:大龄失业!! 全栈开发..有其它 Ai agent web 小程序开发 工作联系邮箱 riki_blink@outlook.com

DT旅行与出行DTAgent 管理与编排
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rdp-cli

A free tool that lets AI agents control RDP and VNC desktops and Android phones. Connect your agent to real remote workspaces, watch the same session in a native window or browser, move files, work across multiple displays, and take control whenever you need it. Free to use on Windows, macOS, and Linux.

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DTAgent 管理与编排
1

Arfinex

Manage the largest organizations as simply as a conversation. Arfinex connects the general ledger, treasury, sales, payroll, contracts and operations in one management view. Specialized AI agents find discrepancies and decisions that need action, and the manager keeps the final say.

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DTAgent 管理与编排
1

Golden Frijoles

Agentic product management for teams that ship with coding agents. Every idea becomes a bet with a target and a read date, ships behind a flag or A/B test, and ends with a verdict and its cost. Open-source Claude Code plugin; free tier.

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DTAgent 管理与编排
2

Concierge by Juniors AI

Juniors AI Concierge is AI-powered customer support for modern teams. Unify WhatsApp, Instagram, email and in-app chat in one workspace, automate repetitive requests with human handover, ask questions about your data in plain English, and track AI and human agent performance. Built on a Bring Your Own Infrastructure model: connect your database, Redis and AI provider keys, and we handle the AI orchestration. Smarter support, full control.

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DTAgent 管理与编排
69

颜值高、上手快的 Claude Code 桌面客户端

ccUI 是一个开源的 Claude Code 桌面客户端,给只有命令行的 Claude Code 加上好看、好用的图形界面:一键切换 Claude Code 版本,权限点按钮、改动看 diff,多个会话并排管理。下载安装包就能用,不用敲 npm 命令。支持 Windows、macOS、Linux,界面中英双语。 亮点 一键切换 Claude Code 版本(以防某些版本更新很逆天):在设置里从下拉列表选最近 10 个版本,或手动输入任意版本号,自动下载并校验,不用碰 npm。想回到最新版也是一键,之后自动保持更新 好看的界面:深色和浅色,Claude 桌面版同款陶土色等配色,毛玻璃、自定义背景图、界面缩放;菜单、对话框、提示都是统一设计 点一下就能操作:权限请求是按钮(允许、总是允许、拒绝并说明原因),Claude 的选择题变成表单,每轮改动的文件在侧边面板看 diff。回答一键复制,消息可以编辑重发、撤销改动或分支成新对话 长对话不迷路:对话右侧的消息导航一点就跳到之前的提问,鼠标悬停显示每条消息的时间 多会话并排:按项目分组,侧边栏标出哪个会话在等你回复,还有桌面通知;需要时一键切到原生 CLI 继续同一段对话 开箱即用:安装包约 108 MB,Claude Code 首次使用时自动下载;开源,MIT 协议 截图或演示视频

语言JavaScriptDTAgent 管理与编排原始ai-coding原始anthropic
0

LULUX ETA:面向外贸人的 AI Agent 桌面工作区

这是一款专为外贸业务员打造的 AI Agent 工作区,把询盘、客户资料、报价单和开发信放进同一个应用,让 Agent 在业务数据旁边干活。一个人用就装桌面版,数据存在本机 SQLite;团队用则部署到自己的服务器,按账户和角色隔离。支持接入自己的 OpenAI 兼容或 Anthropic 接口(DeepSeek、通义、本地 Ollama 等),还能把 Claude Code、Codex、Gemini CLI、Qwen Code 等命令行 Agent 拉进同一个群聊,由主管 Agent 派活、汇总。 亮点 • 桌面模式与团队服务器模式一套功能,数据不过第三方服务器 • 多 Agent 群聊:主管编排、@ 点名、每条回复标明内核与模型 • 工作流画布、客户管理、报价单、长期记忆和工具调用审批 • 内置 38 个 Agent Skills,支持远程 MCP • 支持 Windows、macOS、Linux,可用 Docker 部署 • 许可证:BSL 1.1(源码可用,可免费用于生产环境及内部修改,2030-10-20 转为 Apache 2.0)

语言TypeScriptDTAgent 管理与编排
3

PocketCtl:在 iPhone 和浏览器上跟进多种 AI 编程 Agent

我是 PocketCtl 的开发者,向周刊自荐这个项目。 PocketCtl 是一个面向开发者的跨设备工作台,可以在 iPhone 或浏览器上统一查看 Claude Code、Codex、OpenCode 等 AI 编程 Agent 的会话。适合同时使用多种 Agent,或需要在离开电脑后继续跟进任务的开发者。 主要功能: 查看会话输出、工具调用、执行计划和文件改动。 在支持的会话中发送消息、回答问题和处理审批。 管理多台开发主机,并远程浏览会话文档。 Agent 仍在用户的 Mac 或 Linux 主机上运行,使用前需要安装 daemon,主机需保持在线。远程控制能力取决于 Agent 和会话类型;例如 Codex Desktop 会话目前是只读观察。PocketCtl 不提供模型订阅或 API 额度。 数据边界:生产连接使用 TLS;为支持跨设备访问和历史重放,Relay 会处理并存储会话事件,不能视为所有内容都只保留在本机。 项目地址及安装说明:

语言TypeScriptDTAgent 管理与编排
13

Vulgr

Vulgr is a terminal built for AI coding agents. Run Claude Code, Codex and AGY in real split-pane terminals and let them check each other's work: Duo Loop (one agent writes tests, the other codes until they pass), Agent Swarm (tester, coder and reviewer in an isolated git worktree) and Orchestrator (a planner splits a big goal into parallel tasks, then merges and reviews the result). Sessions are saved and grouped. Runs locally on macOS, Windows and Linux.

原文
DTAgent 管理与编排
2

Treefold:把 AI Coding 的多仓库、Worktree、终端和任务放在一起

LLM 时代高强度用 AI Agent 搞项目,LLM 很强,但想要高效舒服的开发还是有很多繁琐的流程。 例如经常同时推进几个任务,还涉及前后端两个 ,并行任务不相互冲突大家都知道用 git worktree。 手敲 git worktree 命令很繁琐,AI 可以代劳,但每次都要交代一遍却挺烦:从哪个分支创建,前后端项目在哪个目录,做完合回哪里。想去对应目录跑条命令,还得找路径、开终端、切过去。任务一多,就容易忘记哪个目录对应哪件事。 我就在想能不能把常用流程做到一个 ui 界面中管理,于是做了一个 APP 叫 Treefold。我想把每项任务的代码、终端和进度放在一起,打开就知道做到哪了,接下来可以继续做什么。 任务展开以后,要知道怎么收回来 我把工作分成三层:Project、Workspace、Fork。 Project 放一个项目相关的仓库和目录。我一般让原仓库保持在 main 分支,再为每项 feature 创建 Workspace,各自使用独立分支和 worktree。创建时默认从原仓库当前分支展开,也可以选择其他本地或远端分支作为起点。 一个 feature 里有可以并行的子任务,就继续创建 Fork。比如做“商品搜索”,可以让几个 Fork 分别负责接口、页面和测试,各自在独立目录里修改,完成后合回父 Workspace,再一起联调和交付。 这样,worktree 就有了明确的父子关系,交付时知道应该合回哪里。操作由人确认,发生冲突仍然需要处理。Workspace 还可以选择推送 feature 分支,接着走原来的远端评审流程。 简单任务开一个 Workspace 就够了,不用每次都拆 Fork。同一 Workspace 里的多个 Session 共享代码目录;需要隔离修改时,再创建 Fork。 worktree 多了,目录和状态都得看得清 git worktree list 能列出目录和分支,但想知道里面是否有未提交的修改、改动是否已经合回去,还得逐个检查。任务多了,这些小操作也会打断思路。 Treefold 把 worktree list 做成了界面里的管理列表,按仓库展开。每个 worktree 的分支、路径、当前提交和关联任务放在一起,同时显示未提交改动、冲突,以及相对目标分支领先或落后的提交数。已经合入目标分支的状态也会标出来,不用挨个进入目录查 Git。 从列表可以直接打开关联任务;不再使用的 worktree,可以在界面里确认后删除,也能清理失效的 worktree 记录。哪些还在开发、哪些改动已经合入、哪些目录可以收拾,都有地方查看。 完成的任务可以归档,先保留分支、worktree 和工作记录,之后再按需清理。Project 里可以批量清理已归档的 Workspace,Workspace 里也能清理已归档的 Fork。隔天回来看时,活跃任务和已完成的工作分开,也能找到之前的交付记录。 创建 worktree、启动 Session 和批量清理都可以在后台继续,不用一直守着弹窗。切去做其他任务后,也能回来查看状态和失败原因。 Agent 写完,检查代码和提交 我一直挺喜欢 JetBrains 的 Git 集成:修改在哪里,提交了什么,都可以直接看。 Treefold 里也放了 Git Changes 和 History。开发过程中看 diff,交付前检查提交;几个零散提交可以用 Squash 整理成一个,也可以 Reset 到指定提交。当前分支最新一次提交的说明写得不合适,也可以直接在 History 里修改。如果本地记录显示它被远端分支、标签或其他分支引用,会先提醒,再由我决定是否继续。 完成交付时,可以选择 Squash,把这项工作的成果合成一个提交放进父分支。前后端改动不一样,就分别填写提交说明,在同一个弹窗里检查后一起确认。源分支上的开发记录仍然保留,父分支收到的是整理后的提交。 我没有做完整的交互式 rebase 和冲突编辑器。常用操作放在界面里,更复杂的 Git 操作继续交给终端和 Agent,处理完再回来检查结果。 Project 里也能直接查看和搜索本地、远端分支,切换分支,或者删除不再需要的分支。这些短操作,不用每次都通过聊天交给 Agent。 检查代码时,也不想每次都重新告诉 Agent:“这是哪几个仓库,应该和哪个分支比较,别漏掉还没提交的修改。”所以加了 AI Review:在 Workspace 或 Fork 里选一个 Agent,确认提示词,就会打开一个专门检查这项工作的 Session。 Fork 和父 Workspace 比较,Workspace 和 Project 当前分支比较。Treefold 会把各仓库的路径、分支和比较范围交给 Agent,要求同时检查已提交、未提交的修改和新文件。默认提示词让它先报告问题,我确认后,可以在同一个 Session 里继续讨论、修复和验证。也可以给 Project 保存自己的 Review 提示词。 这样,从开发、检查到修复都留在同一项任务里,最后再决定怎么交付。完成交付前,如果还有将被停止的 Session 在运行,界面会先列出来,让我选择暂缓交付,或者确认停止后继续。这里检查的是进程是否还活着,不能替我判断 Agent 是否已经做完。 暂缓的任务,先记在 Todo 里 和 AI 讨论方案时,经常会冒出一些现在不做、以后值得试的点子。以前我会开个文件记 Todo,接下来还得记得这个文件放在哪。 现在可以直接记到 Workspace 的 Todo list。要做的时候,把 Todo 分配给 Fork,展开成一项独立工作;完成并合回父 Workspace 后,关联的 Todo 也会完成。 Treefold 也带了 CLI 和 Skill,Agent 能读取、添加和修改 Todo,遇到问题时也能记录阻塞原因。换一个 Session 接着做,代码、Todo 和交付记录都还留在 Workspace 里,不用依赖某一次聊天记住所有事情。 比如接口开发时发现一个值得单独处理的问题,可以先留下 Todo,继续完成手头的工作。等有空了再把它分出去,也不用为了保留这个点子一直开着原来的 Session。 Agent 把服务跑起来了,我却看不到它在干什么 调试的时候,我经常要让 Agent 启动前后端服务。以前它通常在自己的会话后台启动,再告诉我“服务已经起来了”。我只知道启动了,眼前却没有一个能持续看日志的终端。想知道请求有没有进来、服务有没有报错,还得让它再查一遍。 两个 Agent 并行工作时更麻烦:各自的会话没有共享的进程列表,不知道对方已经启动了什么。一个刚把服务跑起来,另一个又启动一遍,端口就冲突了。 Treefold 用 amux 管理这些需要持续运行的进程。服务可以跟着任务列出来,人能在界面里看日志、输入命令,Agent 也能通过 amux 查询进程、读取日志、停止或重启服务。几个 Session 可以共同观察同一个服务,启动前先查看已有进程,再决定复用还是另开一套。 切走页面不影响进程运行,也不用再回忆服务藏在哪次聊天里。不过并行启动多套服务时,端口仍然需要分别配置,Treefold 目前不会自动隔离端口。 关闭窗口时,可以选择让 App 留在后台,或者直接退出。退出 App 后是否保留 amux 和受管进程,则由单独的设置控制。 一个任务,可能要改几个仓库 有些项目的前后端是两个 Git 。一个功能要两边一起改,就得告诉 AI 两边的位置,同步创建分支和 worktree,再检查是不是进了对应的目录。 所以 Treefold 的一个 Project 可以放多个仓库。创建 Workspace 或 Fork 时,相关仓库一起准备分支和 worktree,后续查看修改、同步和交付也在同一个任务里完成,各仓库的结果分别展示。 接手已有工作也不用从头开始。创建 Workspace 时,每个仓库可以分别新建分支,或者选一个已有的本地或远端分支继续做。分支列表可以搜索,已经被其他 worktree 占用的本地分支会标出来,避免选错工作目录。前端从 main 开始,后端接着已有 feature 开发,也可以放进同一个 Workspace。 还有 monorepo:一个仓库里放了很多项目,我可能只关心其中几个目录。Treefold 可以把这些子目录设为工作入口,也可以加入外部资料目录,方便 Agent 找到相关上下文。目录选择帮助组织工作,Git worktree 仍然以整个仓库为单位。 需要换回熟悉的工具时,Open With 可以直接在 IDE、终端或 Finder 中打开当前目录,也能一键复制路径。选中了哪个任务,就打开它对应的工作目录。 保留终端习惯,少记几个快捷键 我日常主要用 Agent 的 CLI 和 TUI,所以 Treefold 里的 Agent 也是原来的终端界面。目前支持 Codex、Claude Code、OpenCode 和 Pi,也可以单独开 Shell 跑命令。终端使用 xterm.js。 Agent 使用本机安装的 CLI,沿用自己的登录和模型配置。喜欢哪个就用哪个,同一项任务里也可以开不同的 Agent Session。使用前先确认相应 CLI 在终端里能正常运行;没有配置 Agent,也可以先用 Shell。 我喜欢 Command Palette,但不想记一大堆快捷键。所以默认只给少数高频操作绑定快捷键,其他操作从 Palette 找,也可以按自己的习惯修改绑定。 这里我比较在意上下文:在某个 Fork 里打开 Palette,新建 Session、开始 AI Review 或打开目录,就应该接着使用这个 Fork 的上下文,不用重新选一遍。 免费开源,本地运行 Treefold 免费开源,使用 AGPL-3.0-only 许可证。App 在本机运行,项目状态、任务、Session 元数据和配置保存在自己的电脑上,核心管理功能不依赖云端服务。 Agent 沿用你自己的模型和服务配置,模型调用、网络访问和费用由对应服务及配置决定。目前支持 Apple Silicon Mac,需要 macOS 14 或更新版本。

语言TypeScriptDTAgent 管理与编排原始ade原始ai-agents
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Foldout

One agentic all-in-one workspace to find buyers, ship content and close deals. Foldout is a native macOS app that puts the whole go-to-market of a one-person business in one agentic workspace. Prospects, CRM, content, channels and analytics share one database, so a signal found in one place is there everywhere. An AI runs the app for you, by voice or text, on the AI plan you already pay for, and it stops for your approval before it acts. Pay once, own it for life.

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连镜:在无限画布上编排 AI 图片、视频和音频的生成流程

连镜把 AI 视觉创作从一次性的对话框搬到无限画布:文本、图片、视频、音频作为节点互相连线,上游产物直接成为下游的参考素材,首帧、镜头和成片可以在同一条流程里反复调整。支持接入多家模型供应商,可 Docker 私有部署 亮点 画布式工作流:每次生成的产物都留在图上,改上游即重跑下游,不再是排队等一次结果 3D 导演台:用人台、道具和多机位搭构图,导出机位首帧和视频回填画布 画布 Agent:用对话创建、编辑、排列节点,改动可撤销,可导入技能包 插件化模型接入:每家供应商协议是一个 JS 插件,跑在隔离进程里;内置 OpenAI、Anthropic、Google、豆包、阿里百炼、可灵、即梦、Vidu、海螺、Sora,也支持上传自定义插件 完整的自建能力:渠道与模型校验、积分结算、支付、使用记录与审计,密钥加密保存、只写不读 素材存储可切换:本地磁盘,或把阿里云 OSS、腾讯云 COS、AWS S3、Cloudflare R2 设为默认存储 Go + React,Docker 一条命令部署,MIT 协议

语言GoDTAgent 管理与编排原始ai-image原始ai-video
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Git-Zmarshal

Orchestrating build trains for many concurrent agents, on top of git.

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SosoAPI

SosoAPI helps small teams prepare, review, schedule and track social posts with their own AI agent, workspace or API. Use Claude Code or Codex to prepare content, check the account and timing, then follow the provider-confirmed result. Start with Free. Supported actions depend on the platform, account and permissions.

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OnFlow

OnFlow is a no-code, AI-native platform that allows you to build your own back-office system by defining your own data models and workflows. Everything is accessible and manageable via the UI or via LLMs using MCP. Build your own CRM, ERP, project management tool, HR tool all in one place.

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BAND for Developers

Running multiple coding agents shouldn’t mean becoming their project manager. BAND lets them work together. Connect agents across your existing development tools and give them a shared workspace to coordinate tasks, exchange context, and hand off work without you playing middleman. See what every agent is doing, step in when decisions need your judgment, and scale agentic development across teams. Your agents stay in their existing tools while BAND handles the teamwork.

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Arva SEO

Arva SEO helps business owners find their next SEO step. Audit your public website, research keywords, plan and improve content, and track progress in one workspace. Works across website platforms, with an optional WordPress Connector for health checks, SEO titles, meta descriptions and drafts. Connect Claude, ChatGPT, Gemini or Grok through MCP, or invite a specialist to selected websites. Start free with your first website.

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Kimpa Workspace for Business

We’re launching Kimpa, a security-first, privacy-focused business email and workspace for modern businesses. Mail, calendars, contacts, documents, spreadsheets, presentations and team collaboration come together in one connected platform. MCP support lets teams connect compatible AI assistants and agents to their tools while keeping greater control over business information. We’d love your feedback on building a more secure, private way to work.

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Reclearly

Reclearly is client portal software for real estate gents: a branded seller portal, buyer closing timelie, market data and lead page under the agent's own nme. Sellers see showings, feedback and next steps wihout texting the agent. Buyers see every closing dat in one timeline. It is not e-signature or transactin management, so it works next to dotloop or SkySlop. Social Studio by Reclearly adds post planning and cheduling.

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Litedeck – Agentless server management GUI over plain SSH

I made Agentless server management GUI over plain SSH. In Litedeck, we can show and download file, service, docker container, terminal and security, and resource monitoring. Because, I have some Raspberry pi4, mini pc(N97, N100), jetson nano but cockpit or other app install in the server, but I don&#x27;t want that. My servers haven&#x27;t lot of resource. so I made litedeck. And Claude or Codex install in server is heavy too. AI can connect to ssh but, I want to watch what AI&#x27;s do. So I make to tracking AI and show graph view using my Litedeck mcp.

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Vyndexo

Use AI chat, image and video models from multiple providers in one workspace, alongside research and agents. No subscription required: a €5 tool-credit pack unlocks access, with credits spent as you use the tools. Failed generations are never charged.

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PrivOS

PrivOS is the all-in-one AI-native operating system for enterprise work. Chat, Docs, Kanban Tasks (lists with table and Kanban views) and tailored MCP apps live in one place, and AI agents act on them: @-mention a list, file, folder or app in a room and the agent works on it from its own sandboxed container. Self-host the Community Edition free for up to 10 users (beta) or use our Cloud, hosted in the EU. Bring any Anthropic- or OpenAI-compatible model, including local ones.

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rNexa

rNexa is one desktop workspace where your AI agents, chats, editor, browser and live preview work together. - Run Claude, Codex, Grok, Kimi and OpenCode side by side on your own accounts - Agents drive the workspace, browse real pages signed in as you, and use any desktop app - Built-in editor with diffs and a review gate, plus Pad and Plan to agree the work first - Your files and keys stay on your machine Windows, macOS and Linux. $49 once, lifetime. 7-day free trial.

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Ecovertics

AI-powered business development agent automating growth across defence, aerospace, medical. Grounded AI agents and multi-ecosystem workspace for technic. Ecovertics is an AI-powered business development platform built for technical and regulated markets. It runs sector-specific agents across 34 ecosystems Defence, Aerospace, Medical, Engineering, and more

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AewolFlow

AewolFlow is an AI research workspace for literature reviews. Start with a question, choose your papers, compare methods and findings, and draft from selected evidence. Keep quotations and source links beside your work so you can check claims in context. Try one comparison of 2–3 arXiv papers free; Pro adds literature reviews, PDF reading, and connections to Claude, Codex, and Cursor.

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Zavik

Zavik is an open-source dev CLI & AI-orchestration engine. One call detects your stack and briefs any AI coding agent — runbook, entrypoints, trust (zavik context --json). Another audits your dependency supply chain and gates PRs via a GitHub Action with SARIF output. Plain CLI: stable --json and exit codes are the interface — works with Claude Code, Codex, Cursor or no agent at all. Free forever (MIT core); the paid add-on is a daily signed risk dataset, never locked features.

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Ombuto Code

Coding agents write code fast, but someone still has to prompt, wait and check. Ombuto Code takes you out of that loop. It is an open-source desktop workbench that lives in your repo. Write a PRD, architecture and tickets with an agent, each ticket with acceptance criteria. Switch on the scheduler and agents build, test and fix in a loop while an evaluation agent checks the result against the criteria. Review the report, run summary and diff. Works with Claude Code, Codex and Kimi. Apache 2.0.

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FastVibe

An open-source desktop workspace built on pi-coding-agent. Choose your models, extend your toFastVibe is an open-source (MIT) desktop app for agent work on macOS, Windows and Linux. Run coding agents, edit Word/Excel/PowerPoint, and orchestrate parallel sub-agents. Bring your own model, keep data local, and continue from your phone.ols, and inspect the source from interface to agent engine. Source code (MIT):

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GeoD Global

An open-source Windows workbench for imagery, elevation, land cover, climate, ocean and vector data. Search by area and time, preview multiple results on a map, review downloads, and manage local files. Connect your own model for optional Agent workflows. Local use requires no Global account.

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AI PM Knowledge Graph by AllthingsPM

An interactive 3D map of 212 AI product management concepts and 1,113 connections between them: evals, guardrails, agent loops, LLM-as-a-judge, tool approval and more. Click any star to see what it is, why it matters to a PM, and which lesson teaches it. Switch to a flat labelled map or a list. Free.

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