reddit · SideProject · 10-03 16:50 44 分 ← 返回列表

I built an open-source control plane for sandboxing AI coding agents - looking for honest feedback

Hey all, I'm one of the people building OpenRod and wanted to get some outside eyes on it. The problem: coding agents like Claude Code, Codex, and Cursor are getting more autonomous, but most people run them directly on their machine with access to everything — files, credentials, the network. NVIDIA recently open-sourced OpenShell, which isolates agents at the file, network, process, and credential level. OpenRod is a layer on top that makes it practical to use: - One-click sandboxes f

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付费意愿

需求真实度

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竞争空间

新鲜度

AI 分析

痛点：AI coding agents 直接运行在本机，拥有文件、凭证和网络全权限，缺少实用且可审计的隔离控制面。

目标用户：使用 Claude Code、Codex、Cursor 等自主编码代理的开发者、安全团队和平台工程团队。

证据：most people run them directly on their machine with access to everything — files, credentials, the network. … Would you actually run your agents this way? If not, what's stopping you?

变现：开源核心 + 托管/团队版订阅；企业版按席位或用量收费，提供策略管理、SSH 远程沙箱、密钥网关、审计与 SIEM 导出、合规支持。

MVP：2周内做 CLI：npx 一键为 Claude Code 创建本地容器沙箱，支持出站域名白名单、临时注入密钥、命令/文件访问审计日志，并可选 SSH 到自有远程主机。

竞品：NVIDIA OpenShell、Docker Sandboxes、E2B、Daytona、Modal、CodeSandbox

摘要：OpenRod 是面向 AI 编码代理的开源沙箱控制面，基于 NVIDIA OpenShell，提供一键沙箱、SSH 远程运行、出站策略、密钥网关和审计。它切中代理直接访问本机文件、凭证和网络的安全痛点，但原帖只是 launch 求反馈，没有付费意愿或收入验证；变现需靠托管版和企业审计合规。