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📊 公开数据一览

📦 榜单安装量94
⭐ GitHub Stars5,771(fork 749)
🗓️ 最近推送2026-07-15
🌱 项目创建2025-12-26
💻 语言 / LicenseTypeScript · MIT
🐛 开放Issue56

📝 工具简介

来自真实工程师的.agents目录技能包,直接拿来用的代码审查技能。

📖 怎么用

这是个三层的后台编码 agent 系统,需要先配环境变量。数据库和认证用 `POSTGRES_URL` 和 `BETTER_AUTH_SECRET`,GitHub 集成要配 `NEXT_PUBLIC_GITHUB_CLIENT_ID`、`GITHUB_CLIENT_SECRET`、`GITHUB_APP_ID` 等一串,还有 `GITHUB_WEBHOOK_SECRET`。缓存和沙箱用 `REDIS_URL`、`KV_URL`、`VERCEL_SANDBOX_BASE_SNAPSHOT_ID`。全部配好后,Web 界面发起请求,agent 在沙箱里跑代码改代码,全程不需要你开着电脑。

📋 迷你测评

来自真实工程师的.agents目录技能包。亮点是开箱即用,无需额外设置。源自实际项目,针对性明确。

📄 README 要点

这是Open Agents,一个在Vercel上构建和运行后台编码智能体的开源参考应用。它包含Web界面、智能体运行时、沙箱编排和GitHub集成,让你能通过提示词直接生成代码变更,无需保持笔记本电脑在线。系统分三层:Web应用处理认证、会话、聊天和流式UI;智能体作为Vercel上的持久工作流运行;沙箱是执行环境,包含文件系统、shell、git、开发服务器和预览端口。关键架构决策是智能体不运行在虚拟机内,而是通过文件读取、编辑、搜索和shell命令等工具与沙箱交互。适合想fork并定制后台编码智能体的开发者。

查看英文原文
Open Agents Open Agents is an open source reference app for building and running background coding agents on Vercel. It includes the web UI, the agent runtime, sandbox orchestration, and the GitHub integration needed to go from prompt to code changes without keeping your laptop involved. The repo is meant to be forked and adapted, not treated as a black box. What it is Open Agents is a three layer system: [安装/使用命令见下方] The web app handles auth, sessions, chat, and streaming UI. The agent runs as a durable workflow on Vercel. The sandbox is the execution environment: filesystem, shell, git, dev servers, and preview ports. The key architectural decision: the agent is not the sandbox The agent does not run inside the VM. It runs outside the sandbox and interacts with it through tools like file reads, edits, search, and shell commands. That separation is the main point of the project: agent execution is not tied to a single request lifecycle sandbox lifecycle can hibernate and resume independently model/provider choices and sandbox implementation can evolve separately the VM stays a plain execution environment instead of becoming the control plane Current capabilities chat driven coding agent with file, search, shell, task, skill, and web tools durable multi step execution with Workflow SDK backed runs, streaming, and cancellation isolated Vercel sandboxes with snapshot based resume repo cloning and branch work inside the sandbox optional auto commit, push, and PR creation after a successful run session sharing via read only links optional voice input via ElevenLabs transcription Runtime notes A few details that matter for understanding the current implementation: Chat requests start a workflow run instead of executing the agent inline. Each agent turn can continue across many persisted workflow steps. Active runs can be resumed by reconnecting to the stream for the existing workflow. Sandboxes expose ports 3000 , 5173 , 4321 , and 8000 , can optionally use a configured

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数据来源:skills.sh 榜单 + GitHub 公开数据,非人工实测,仅供参考