Share Sign in
0
0
Open ACE Team
via GitHub · Posted Jul 17, 2026 · 1 min read

Open ACE - AI Coding Agent Workspace & Governance

open-ace/open-ace
Application

Self-hosted enterprise AI workspace and governance platform

39Stars
5Forks
72Open issues
Python Apache-2.0 v1.2.0 Updated 13 hours ago
#ai-governance #ai-workspace #claude-code #codex-cli
View on GitHub open-ace.com

Open ACE is a self-hosted enterprise platform that unifies multiple AI coding agents (Claude Code, Qwen Code, Codex, OpenClaw) in a single workspace while providing administrators with centralized governance, cost tracking, API key management, and audit capabilities. Designed for organizations needing private deployment, remote execution, team quotas, and compliance controls.

0 comments

README

🎯 这是什么？

Open ACE 是一个开源的自托管 AI Coding Agent 工作台、远程执行层与治理控制面：开发者可以在浏览器里统一使用 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 等 AI 编码工具，并把它们运行在团队自己的远程机器上；管理员可以集中管理 API Key、权限、成本、配额、审计和合规；团队还可以把 GitHub Issue 驱动的 AI 自主开发工作流纳入同一套平台。

它适合已经把 AI Coding Agent 引入真实研发流程的组织，尤其适合需要私有化部署、内网远程机器、统一密钥代理、团队配额和可追溯审计的研发团队、IT 团队和 AI 平台团队。

问题 解决方案
🤖 团队同时使用多个 AI Coding Agent 多 CLI 工作台统一 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 等工具
🖥️ Agent 需要跑在内网、测试机或 GPU 机器上 Remote Agent 让 AI CLI 直接在目标机器执行
🔑 API Key 不该散落在个人电脑和远程机器上 API Key Proxy 把真实密钥留在服务端，只下发短生命周期、可回收的代理令牌
🔄 希望 AI 能围绕 Issue 持续开发，而不只是单次对话 AI 自主开发工作流支持 Issue 解析、规划、执行、PR、评论与人工中断后继续
📊 成本、配额、风险和审计需要可见 Manage 模式提供用量、成本、配额、异常、审计和合规视图

你可以用 Open ACE 做什么：

  • 给团队一个统一入口，管理本地/远程 AI coding 会话、提示词、历史记录和项目上下文
  • 通过 Remote Agent 把 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 等 CLI 跑在团队自己的开发机、测试机或 GPU 机器上
  • 围绕 GitHub Issue 创建 AI 自主开发任务，让工作流完成规划、编码、提交 PR、批注和人工接管/恢复
  • 加密保存 LLM API Key，通过短生命周期、可回收的代理令牌给本地和远程会话安全调用模型
  • 给管理者一套控制面板，查看 Token、成本、异常、配额、审计、合规报告和 ROI
  • 在自己的网络里部署，保留企业数据边界，并接入 OIDC/OAuth2/SAML SSO、飞书/钉钉同步和 Kubernetes

🔥 近期功能亮点

功能 为什么重要
AI Coding Agent 控制面 把团队已在使用的多个 AI CLI 纳入统一入口、权限、成本和审计体系
远程工作区与 Remote Agent 用户在浏览器里选择远程机器，AI CLI 直接在目标机器运行，无需反复传 SSH 凭据
多 CLI 适配器 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 统一接入，包含会话恢复、权限模式和历史同步
AI 自主开发工作流 支持按 GitHub Issue 创建/排队工作流，自动推进规划、实现、PR、评论、暂停恢复与分叉
API Key 代理 API Key 加密存储在服务器，远程 Agent 只拿短生命周期、可回收的代理令牌，统一配额和用量统计
终端与 VSCode/code-server 代理 支持浏览器终端、远程目录浏览和 code-server/VSCode 访问，适合真实研发工作流
合规与报表 支持审计追踪、配额检查、合规报告生成和 CSV 下载
开源协作基础 已补齐 Roadmap、Security Policy、Issue 模板、Dependabot、CODEOWNERS 和适合新手的 Issue 标签

✨ 两种模式，双重价值

🚀 Work 模式 — 让 AI 成为你的超级助手

面向每一位员工，提供流畅的 AI 交互体验

核心能力：

  • 🤖 多 AI 工具集成 — Claude Code、Qwen Code、Codex、ZCode、OpenClaw 一个入口统一使用
  • 🖥️ 远程工作区 — 在浏览器里选择远程机器，启动 AI 编码会话、终端和目录浏览
  • 🔄 AI 自主开发 — 围绕 GitHub Issue 运行自治工作流，支持排队、暂停、恢复、分叉和批量推进
  • 💬 智能会话管理 — 历史记录、会话恢复、上下文记忆和跨工具会话同步
  • 📝 提示词库 — 团队共享优质提示词，最佳实践一键复用
  • 🔍 快速检索 — 跨会话搜索历史对话，知识沉淀不丢失

📊 Manage 模式 — 让 AI 治理有据可依

面向管理者，提供全方位的 AI 使用洞察与管控

核心能力：

  • 📈 用量可视化 — Token 消耗趋势、成本分析、使用热力图，一目了然
  • 🔑 API Key 治理 — 加密存储 API Key，通过代理令牌调用模型，避免密钥下发到远程机器
  • 🚨 智能告警 — 配额预警、异常检测、超支提醒，风险早知道
  • 📋 合规审计 — 敏感内容检测、对话记录追溯、合规报告生成和 CSV 下载
  • 👥 多租户管理 — 租户级会话、项目、用量与审计隔离，配合权限控制与资源配额实现精细化管理
  • 💰 ROI 分析 — 基于可见、可配置假设的 ROI 规划估算与效率量化

🏢 为什么选择 Open ACE？

特性 说明
🔒 默认自托管 私有化部署，数据和 API Key 留在自己的网络与数据库里
🎛️ Agent 控制面 统一管理工具、用户、机器、密钥、配额、成本和审计，而不是替代每个 AI CLI
🌐 多工具工作台 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 统一入口、统一历史、统一治理
🖥️ 远程执行 Remote Agent 让 AI CLI 在目标机器运行，适合研发服务器、测试环境和 GPU 机器
🔄 自主开发闭环 从 GitHub Issue 到规划、实现、PR、评论和人工接管，形成可追踪的 AI 开发工作流
📊 治理可观测 Token、成本、配额、异常、审计、合规和 ROI 统一分析
🔌 企业集成 支持 OIDC/OAuth2/SAML 2.0 SSO、飞书/钉钉组织同步、钉钉/飞书告警机器人、Kubernetes、反向代理和多租户权限模型
🆓 开放协作 Apache 2.0 协议，Roadmap、贡献指南和 good first issue 已就位

🚀 5 分钟快速开始

方式一：一键部署（推荐）

# 克隆项目
git clone https://github.com/open-ace/open-ace.git
cd open-ace

# 构建并启动
docker compose up -d --build

# 访问 http://localhost:19888

💡 零配置：安全密钥（SECRET_KEY / OPENACE_ENCRYPTION_KEY / UPLOAD_AUTH_KEY）在首次启动时自动生成，无需预先配置。

⚠️ 生产环境请通过 .env 显式设置强密钥（参考 .env.example）、修改默认密码，并参阅 部署指南。自动生成的密钥仅存在于运行环境，容器/卷销毁后不保留。

🇨🇳 国内网络：若构建时拉取基础镜像卡住或超时，见 国内网络加速。

🇨🇳 国内网络加速

若构建时拉取 Docker Hub 基础镜像（python、node、postgres）卡住或超时，设置 BASE_REGISTRY 指向国内镜像源后重新构建：

export BASE_REGISTRY=docker.m.daocloud.io
docker compose up -d --build

该变量会同时作用于 Dockerfile 的基础镜像拉取和 postgres 镜像拉取。可选镜像源：

镜像源 地址
DaoCloud docker.m.daocloud.io
1Panel docker.1panel.live

镜像源可用性会随时间变化，表中任选一个能 pull 通即可；也可换用其他公开的 Docker Hub 镜像。

也可在 Docker daemon 配置 registry-mirrors（Docker Desktop / OrbStack 的镜像加速设置），效果相同但作用于全局。

方式二：源码安装

# 1. 克隆项目
git clone https://github.com/open-ace/open-ace.git
cd open-ace

# 2. 安装后端依赖
pip install -r requirements.txt

# 3. 安装前端依赖并构建
cd frontend && npm install && npm run build && cd ..

# 4. 初始化配置和数据库
python3 cli.py config init
alembic upgrade head
python3 scripts/init_db.py

# 5. 启动服务
python3 server.py

# 访问 http://localhost:19888

默认账号

角色 用户名 密码
管理员 admin admin123

⚠️ 默认账号仅用于本地首次启动。生产环境请务必显式设置 SECRET_KEY、OPENACE_ENCRYPTION_KEY、UPLOAD_AUTH_KEY，修改默认密码，并参考 部署指南 完成安全配置。

📖 功能详解

📊 数据分析

功能 描述
趋势分析 按日/周/月查看 Token 使用趋势
对比分析 不同时间段、不同工具的用量对比
热力图 使用高峰时段可视化
成本分析 Token 消耗与成本换算

💬 消息追踪

功能 描述
对话历史 查看完整对话记录
消息搜索 按关键词、用户、时间筛选
会话导出 导出对话记录用于审计
时间线视图 可视化展示对话流程

🖥️ 远程工作区

功能 描述
Remote Agent 在 Linux/macOS/Windows 远程机器上运行 AI CLI 守护进程
CLI 适配器 支持 Claude Code、Qwen Code、Codex、ZCode、OpenClaw 的启动、会话恢复和权限模式
浏览器终端 通过 WebSocket 访问远程 shell，Linux/macOS 使用 PTY，Windows 使用管道子进程，并支持断线后的屏幕恢复
VSCode/code-server 代理远程 code-server/VSCode 路径，方便在浏览器中继续开发
API Key 代理 真实密钥只保存在服务器，远程会话通过短生命周期、可回收的代理令牌访问模型

🔄 AI 自主开发

功能 描述
GitHub Issue 解析 支持 issue 编号、范围和 URL，批量创建自主开发任务
工作流编排 排队、规划、编码、PR、评论、合并等阶段可视化推进
人机协作 支持暂停、继续、插入反馈、从中间节点分叉新工作流
GitHub 操作集成 使用机器人账户令牌执行 issue、PR、评论等自动化操作

🔔 告警中心

功能 描述
配额告警 用量达到阈值自动提醒
异常检测 识别异常使用模式
邮件通知 定期发送用量报告
Webhook / 机器人推送 实时推送告警到 Webhook，支持飞书 / Lark 和钉钉群机器人

👥 用户管理

功能 描述
多租户 支持多部门/团队隔离
角色权限 管理员/普通用户角色区分
SSO 集成 支持 OIDC/OAuth2 与 SAML 2.0 企业单点登录
飞书同步 手动触发并可按配置自动同步飞书组织架构
钉钉同步 手动触发并可按配置自动同步钉钉组织架构，导入 OpenClaw 会话时解析钉钉用户名和群名称

📋 合规与报表

功能 描述
审计日志 追踪用户、会话、工具和关键管理操作
合规检查 覆盖数据留存、配额使用、敏感内容和访问控制
报告生成 生成企业合规报告，并支持 JSON/CSV 等格式
风险建议 基于检查结果给出治理建议和后续动作

🛠️ 技术栈

后端

  • Python 3.10+
  • Flask — Web 框架
  • SQLAlchemy — ORM
  • PostgreSQL / SQLite — 数据库
  • Alembic — 数据库迁移

前端

  • React 18 — UI 框架
  • TypeScript — 类型安全
  • Vite — 构建工具
  • Bootstrap 5 — UI 组件
  • Chart.js — 数据可视化

📁 项目结构

open-ace/
├── server.py                 # Web 服务入口
├── cli.py                 # CLI 工具入口
├── app/                   # 后端应用
│   ├── routes/            # API 路由
│   ├── services/          # 业务逻辑
│   ├── modules/           # 工作区、合规等领域模块
│   ├── models/            # 数据模型
│   └── repositories/      # 数据访问
├── frontend/              # 前端应用
│   ├── src/               # 源代码
│   ├── e2e/               # Playwright 端到端测试
│   └── package.json       # 依赖配置
├── remote-agent/          # 远程工作区 Agent 与 CLI 适配器
├── k8s/                   # Kubernetes 部署清单
├── migrations/            # Alembic 数据库迁移
├── schema/                # 数据库 Schema 辅助文件
├── scripts/               # 核心脚本与运维辅助文件
│   ├── fetch_*.py         # 数据收集
│   ├── cron/              # 定时任务脚本
│   ├── systemd/           # systemd service/timer 示例
│   └── shared/            # 共享模块
├── static/                # 运行时静态资源与前端构建产物
├── docs/                  # 文档
└── tests/                 # 测试

📚 文档

docs/ 目录保存产品文档源代码；对外发布的 Docusaurus 文档站在独立仓库 open-ace/open-ace-docs 中构建和部署。

文档 说明
架构说明 系统架构与核心概念
部署指南 本地与生产环境部署
开发指南 参与开发
远程工作区 远程机器、Agent、API Key 代理与安全设计
远程 Agent Agent 安装、CLI 适配器、终端和会话同步
权限模型 租户、角色与访问控制
Kubernetes K8s 部署参考（多副本 + 粘性会话边界）
飞书配置 飞书集成配置
钉钉配置 钉钉集成配置
API 文档 API 接口说明
仓库设置 GitHub topics、labels、分支保护和发布检查清单

🤝 贡献

我们欢迎所有形式的贡献！

适合参与的方向包括：远程工作区体验、CLI 适配器、部署脚本、文档翻译、前端可用性、测试覆盖和企业集成。

📄 许可证

本项目采用 Apache 2.0 许可证开源。

🎯 What is This?

Open ACE is an open-source self-hosted workspace, remote execution layer, and control plane for AI coding agents: developers can use Claude Code, Qwen Code, Codex, ZCode, OpenClaw, and similar tools from one browser workspace while running them on the team's own remote machines; administrators can centralize API keys, access control, quotas, cost visibility, audit trails, and compliance; teams can also bring GitHub issue-driven autonomous development workflows onto the same platform.

It is built for teams moving AI coding agents into real engineering workflows, especially organizations that need self-hosted deployment, private-network machines, centralized key proxying, team quotas, and traceable audit records.

Challenge Solution
🤖 Teams use multiple AI coding agents Multi-CLI workspace for Claude Code, Qwen Code, Codex, ZCode, OpenClaw, and more
🖥️ Agents need to run on internal, staging, or GPU machines Remote Agent runs AI CLIs directly on target machines
🔑 API keys should not spread across laptops and remote boxes API Key Proxy keeps real keys on the server and issues short-lived, revocable proxy tokens
🔄 Teams want issue-driven execution, not just chat sessions Autonomous workflows can parse issues, plan, implement, open PRs, comment, and resume after human interruption
📊 Cost, quotas, risk, and audit need visibility Manage Mode tracks usage, cost, quotas, anomalies, audit trails, and compliance

What you can do with Open ACE:

  • Give teams one place for local/remote AI coding sessions, prompts, history, and project context
  • Run Claude Code, Qwen Code, Codex, ZCode, OpenClaw, and similar CLIs on your own development, staging, or GPU machines through the Remote Agent
  • Create autonomous development tasks from GitHub issues and let workflows plan, implement, comment, open PRs, and continue with human guidance
  • Store LLM API keys centrally and issue short-lived, revocable proxy tokens to local and remote sessions
  • Give administrators a control plane for tokens, cost, anomalies, quotas, audits, compliance reports, and ROI
  • Deploy inside your own network while integrating OIDC/OAuth2/SAML SSO, Feishu/DingTalk sync, and Kubernetes

🔥 Recent Highlights

Capability Why it matters
AI coding agent control plane Bring the team's existing AI CLIs under one access, key, quota, cost, and audit model
Remote Workspace and Remote Agent Users choose a remote machine in the browser and run AI CLIs there without repeatedly sharing SSH credentials
Multi-CLI adapters Claude Code, Qwen Code, Codex, ZCode, and OpenClaw share one workspace with session recovery, permission modes, and history sync
Autonomous development workflows Queue GitHub issue-driven workflows that move through planning, implementation, PR creation, commenting, pause/resume, and forks
API Key proxy Keys are encrypted on the server; remote agents only receive short-lived, revocable proxy tokens with unified quota and usage tracking
Terminal and VSCode/code-server proxy Browser terminal, remote directory browsing, and code-server/VSCode access make the workspace useful for real development loops
Compliance and reporting Audit trails, quota checks, compliance reports, and CSV downloads are available for governance workflows
Open-source readiness Roadmap, Security Policy, issue templates, Dependabot, CODEOWNERS, and beginner-friendly labels are in place

✨ Two Modes, Double Value

🚀 Work Mode — Make AI Your Super Assistant

For every employee, providing a seamless AI interaction experience

Key Capabilities:

  • 🤖 Multi-AI Integration — Claude Code, Qwen Code, Codex, ZCode, and OpenClaw behind one workspace
  • 🖥️ Remote Workspace — Choose a remote machine in the browser, then start AI coding sessions, terminals, and directory browsing
  • 🔄 Autonomous Development — Run issue-driven workflows with queueing, pause/resume, branching, and guided handoff points
  • 💬 Smart Session Management — History, session recovery, context memory, and cross-tool history sync
  • 📝 Prompt Library — Share best practices across your team with reusable prompts
  • 🔍 Quick Search — Search across all conversations, knowledge preserved

📊 Manage Mode — Data-Driven AI Governance

For administrators, providing comprehensive AI usage insights and control

Key Capabilities:

  • 📈 Usage Visualization — Token consumption trends, cost analysis, heatmaps at a glance
  • 🔑 API Key Governance — Encrypt API keys on the server and call models through scoped proxy tokens
  • 🚨 Smart Alerts — Quota warnings, anomaly detection, overspending alerts — know risks early
  • 📋 Compliance Audit — Sensitive content detection, conversation trails, compliance reports, and CSV downloads
  • 👥 Multi-tenant Management — Tenant-scoped session and project isolation, permission control, and resource quotas
  • 💰 ROI Analysis — Configurable ROI planning estimates with transparent assumptions and efficiency metrics

🏢 Why Open ACE?

Feature Description
🔒 Self-hosted by default Keep data and API keys inside your own network and database
🎛️ Agent control plane Manage tools, users, machines, keys, quotas, cost, and audit trails without replacing every AI CLI
🌐 Multi-tool workspace Claude Code, Qwen Code, Codex, ZCode, and OpenClaw with unified access, history, and governance
🖥️ Remote execution Remote Agent runs AI CLIs on development servers, staging boxes, or GPU machines
🔄 Autonomous dev loop Move from GitHub issues to plans, implementation, PRs, comments, and human intervention in one traceable workflow
📊 Governance observability Analyze tokens, cost, quotas, anomalies, audits, compliance, and ROI together
🔌 Enterprise integration OIDC/OAuth2/SAML 2.0 SSO, Feishu/DingTalk org sync, Feishu/DingTalk alert bots, Kubernetes, reverse proxy, and multi-tenant permissions
🆓 Open collaboration Apache 2.0, roadmap, contributor guide, and good first issues are ready

🚀 Quick Start in 5 Minutes

Option 1: One-click Deploy (Recommended)

# Clone the project
git clone https://github.com/open-ace/open-ace.git
cd open-ace

# Build and start
docker compose up -d --build

# Visit http://localhost:19888 (AI + ace mnemonic port)

💡 For production deployment, see Deployment Guide

Option 2: From Source

# 1. Clone the project
git clone https://github.com/open-ace/open-ace.git
cd open-ace

# 2. Install backend dependencies
pip install -r requirements.txt

# 3. Install frontend dependencies and build
cd frontend && npm install && npm run build && cd ..

# 4. Initialize configuration and database
python3 cli.py config init
alembic upgrade head
python3 scripts/init_db.py

# 5. Start the server
python3 server.py

# Visit http://localhost:19888 (AI + ace mnemonic port)

Default Credentials

Role Username Password
Admin admin admin123

⚠️ The default account is only for the first local startup. For production, explicitly set SECRET_KEY, OPENACE_ENCRYPTION_KEY, and UPLOAD_AUTH_KEY, change the default password, and follow the Deployment Guide.

📖 Feature Details

📊 Analytics

Feature Description
Trend Analysis View token usage trends by day/week/month
Comparison Compare usage across time periods and tools
Heatmap Visualize peak usage hours
Cost Analysis Convert token consumption to costs

💬 Message Tracking

Feature Description
Conversation History View complete conversation records
Message Search Filter by keyword, user, time
Session Export Export conversations for audit
Timeline View Visualize conversation flow

🖥️ Remote Workspace

Feature Description
Remote Agent Run AI CLI daemons on Linux/macOS/Windows remote machines
CLI Adapters Start, resume, and control permission modes for Claude Code, Qwen Code, Codex, ZCode, and OpenClaw
Browser Terminal Access remote shells through WebSocket with PTY on Linux/macOS, a piped subprocess on Windows, and screen recovery after disconnects
VSCode/code-server Proxy remote code-server/VSCode paths so users can continue development in the browser
API Key Proxy Keep real keys on the server and let remote sessions call models through short-lived, revocable proxy tokens

🔄 Autonomous Development

Feature Description
GitHub Issue Parsing Accept issue numbers, ranges, and URLs to create one or many autonomous tasks
Workflow Orchestration Visualize queued, planning, implementation, PR, comment, and merge stages
Human-in-the-loop Control Pause, resume, inject feedback, or fork a workflow from intermediate milestones
GitHub Operations Use bot-account tokens for issue, PR, and comment automation

🔔 Alert Center

Feature Description
Quota Alerts Automatic notifications when thresholds reached
Anomaly Detection Identify unusual usage patterns
Email Reports Periodic usage reports via email
Webhook / Bot Push Real-time alerts to webhooks, including Feishu / Lark and DingTalk group bots

👥 User Management

Feature Description
Multi-tenant Department/team isolation
Role Permissions Admin/user role distinction
SSO Integration Enterprise single sign-on via OIDC/OAuth2 and SAML 2.0
Feishu Sync Manual and optionally scheduled Feishu organization sync
DingTalk Sync Manual and optionally scheduled DingTalk organization sync, plus DingTalk user/group name resolution during OpenClaw import

📋 Compliance and Reporting

Feature Description
Audit Logs Track users, sessions, tools, and key administration actions
Compliance Checks Cover data retention, quota usage, sensitive content, and access control
Report Generation Generate governance reports with JSON/CSV export paths
Risk Recommendations Turn report results into practical follow-up actions

🛠️ Tech Stack

Backend

  • Python 3.10+
  • Flask — Web Framework
  • SQLAlchemy — ORM
  • PostgreSQL / SQLite — Database
  • Alembic — Migrations

Frontend

  • React 18 — UI Framework
  • TypeScript — Type Safety
  • Vite — Build Tool
  • Bootstrap 5 — UI Components
  • Chart.js — Visualization

📁 Project Structure

open-ace/
├── server.py                 # Web server entry
├── cli.py                 # CLI tool entry
├── app/                   # Backend application
│   ├── routes/            # API routes
│   ├── services/          # Business logic
│   ├── modules/           # Domain modules: workspace, compliance, and more
│   ├── models/            # Data models
│   └── repositories/      # Data access
├── frontend/              # Frontend application
│   ├── src/               # Source code
│   ├── e2e/               # Playwright end-to-end tests
│   └── package.json       # Dependencies
├── remote-agent/          # Remote Workspace agent and CLI adapters
├── k8s/                   # Kubernetes manifests
├── migrations/            # Alembic database migrations
├── schema/                # Database schema helpers
├── scripts/               # Core scripts and operational helpers
│   ├── fetch_*.py         # Data collection
│   ├── cron/              # Scheduled task scripts
│   ├── systemd/           # systemd service/timer examples
│   └── shared/            # Shared modules
├── static/                # Runtime static assets and frontend build output
├── docs/                  # Documentation
└── tests/                 # Tests

📚 Documentation

The docs/ directory is the source of truth for product documentation. The published Docusaurus docs site is built and deployed from the separate open-ace/open-ace-docs repository.

Document Description
Architecture System architecture and concepts
Deployment Local and production deployment
Development Contributing guide
Remote Workspace Remote machines, Agent, API Key proxy, and security design
Remote Agent Agent install, CLI adapters, terminal, and session sync
Permission Model Tenants, roles, and access control
Kubernetes K8s deployment reference with multi-replica sticky-session boundaries
Feishu Config Feishu integration
DingTalk Config DingTalk integration
API Reference API documentation
Repository Setup GitHub topics, labels, branch protection, and release checklist

🤝 Contributing

We welcome all forms of contribution!

Good places to help include Remote Workspace UX, CLI adapters, deployment scripts, documentation translation, frontend usability, test coverage, and enterprise integrations.

📄 License

This project is licensed under the Apache 2.0 License.

Comments (0)

Sign in to join the discussion.

No comments yet

Be the first to share your take.