OpenHands Agent工作流
经 AI Skill Hub 精选评估，OpenHands Agent工作流 获评「强烈推荐」。在 GitHub 上收获超过 73.3k 颗 Star，这款AI工具在功能完整性、社区活跃度和易用性方面表现出色，AI 评分 8.5 分，适合有一定技术背景的用户使用。
📚 深度解析
**为什么要使用开源工具而非商业 SaaS？**
对于个人开发者和有隐私需求的用户，本地部署的开源工具意味着数据不离本机，不受第三方服务商的数据政策约束。同时，开源工具通常没有使用次数限制和月度费用，一次安装即可长期使用，对于高频使用场景的总拥有成本（TCO）远低于订阅制商业工具。
**安装与环境准备**
OpenHands Agent工作流 依赖 Python 运行环境。建议通过 pyenv（Python）或 nvm（Node.js）管理 Python 版本，避免全局环境污染。对于新手用户，推荐先创建虚拟环境（python -m venv venv && source venv/bin/activate），再安装依赖，这样即使出现问题也可以随时删除虚拟环境重新开始，不影响系统稳定性。
**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues（已关闭的问题），大多数常见问题都已有解答。遇到 Bug 时，提供 pip list 的输出、完整错误堆栈和最小可复现示例，能显著提高开发者响应速度。AI Skill Hub 将持续追踪 OpenHands Agent工作流 的版本更新，及时通知重要功能变化。
📋 工具概览
OpenHands Agent工作流 是一款基于 Python 开发的开源工具，专注于 AI工作流、Agent框架、自动化开发 等核心功能。作为 GitHub 开源项目，它拥有活跃的社区支持和持续的版本迭代，代码完全透明可审计，支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流，都能提供稳定可靠的解决方案。
📖 中文文档
OpenHands Agent工作流 是一款基于 Python 开发的开源工具，专注于 AI工作流、Agent框架、自动化开发 等核心功能。作为 GitHub 开源项目，它拥有活跃的社区支持和持续的版本迭代，代码完全透明可审计，支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流，都能提供稳定可靠的解决方案。
- 开源免费，支持本地部署，数据完全自主可控
- 活跃的 GitHub 开源社区，持续迭代更新
- 提供详细文档和使用示例，新手友好
- 支持自定义配置，灵活适配不同使用环境
- 可作为基础组件集成进现有技术栈或进行二次开发
- 本地部署运行，保护数据隐私，满足合规要求
- 自定义集成到现有系统，扩展技术栈能力
- 作为开源基础组件进行商业化二次开发
# 方式一：pip 安装（推荐）
pip install openhands
# 方式二：虚拟环境安装（推荐生产环境）
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install openhands
# 方式三：从源码安装（获取最新功能）
git clone https://github.com/OpenHands/OpenHands
cd OpenHands
pip install -e .
# 验证安装
python -c "import openhands; print('安装成功')"
- 访问 GitHub 仓库页面
- 按照 README 文档完成依赖安装
- 根据系统环境完成初始化配置
- 参考官方示例或文档开始使用
- 遇到问题可在 GitHub Issues 中查找解答
# 命令行使用
openhands --help
# 基本用法
openhands input_file -o output_file
# Python 代码中调用
import openhands
# 示例
result = openhands.process("input")
print(result)
# openhands 配置文件示例（config.yml） app: name: "openhands" debug: false log_level: "INFO" # 运行时指定配置文件 openhands --config config.yml # 或通过环境变量配置 export OPENHANDS_API_KEY="your-key" export OPENHANDS_OUTPUT_DIR="./output"
简介
<a name="readme-top"></a> <div align="center"> <img src="https://assets.openhands.dev/logo-whitebackground.png" alt="OpenHands logo" width="340"> <p align="center"> <strong>The self-hosted developer control center for coding agents and automations.</strong> </p> <p align="center"> Run OpenHands, Claude Code, Codex, Gemini, or any ACP-compatible agent across local, remote, and cloud backends. </p> </div> <div align="center"> <a href="https://github.com/OpenHands/incubator-program"><img src="https://img.shields.io/badge/status-beta-blue?style=for-the-badge" alt="Project status beta"></a> <a href="https://github.com/OpenHands/agent-canvas/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/OpenHands/agent-canvas/ci.yml?branch=main&style=for-the-badge" alt="CI status"></a> <a href="https://www.npmjs.com/package/@openhands/agent-canvas"><img src="https://img.shields.io/npm/v/%40openhands%2Fagent-canvas?style=for-the-badge&logo=npm" alt="npm version"></a> <a href="https://docs.openhands.dev/openhands/usage/agent-canvas/backends"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="Documentation"></a> <a href="https://go.openhands.dev/slack"><img src="https://img.shields.io/badge/Slack-Join%20the%20community-611f69?logo=slack&logoColor=white&style=for-the-badge" alt="Join us on Slack"></a> </div> <div align="center"> <a href="#quickstart">Quickstart</a> | <a href="https://docs.openhands.dev/overview/introduction">Docs</a> | <a href="https://docs.openhands.dev/openhands/usage/agent-canvas/backend-setup/vm">Self-Hosting</a> | <a href="https://docs.openhands.dev/openhands/usage/agent-canvas/acp-agents">ACP Agents</a> | <a href="https://docs.openhands.dev/openhands/usage/agent-canvas/prebuilt-automations">Automations</a> | <a href="https://go.openhands.dev/slack">Slack</a> </div> <p align="center"> <img src="https://assets.openhands.dev/screenshot/automation-preview.png" alt="Agent Canvas automation preview" width="100%"> </p> <hr>
OpenHands Agent Canvas turns your coding agents into a self-hosted, always-on engineering team. It's a developer control center for starting conversations and automating everyday tasks — like generating reports that publish to Slack or automatically decomposing GitHub issues into tasks.
It runs locally on your machine by default, but can connect to multiple “agent backends”, e.g. running agents in Docker containers, on VMs, or within your company infrastructure. You can optionally choose to run agents on OpenHands Cloud or OpenHands Enterprise infrastructure.
Agent Canvas runs the open source OpenHands agent out-of-the-box, but can use any third-party agent like Claude Code and Codex.
| [**Self-host your way**](https://docs.openhands.dev/openhands/usage/agent-canvas/backend-setup/vm) | Run agents locally, in Docker, on VMs, or anywhere you can run an agent server backend |
| [**Switch between different backends**](https://docs.openhands.dev/openhands/usage/agent-canvas/backends) | Switch between local, remote, and cloud agents without losing focus |
| [**Create automations**](https://docs.openhands.dev/openhands/usage/agent-canvas/prebuilt-automations) | Create automations and workflows that integrate with Slack, GitHub, Linear, and more. Run on a schedule or in response to webhook events |
| [**Integrate with the tools you use**](https://docs.openhands.dev/openhands/usage/agent-canvas/prebuilt-automations) | Connect your automations with third-party services like Slack, GitHub, Notion, and more to automate workflows |
| [**Bring your own model**](https://docs.openhands.dev/openhands/usage/settings/llm-settings#llm-profiles) | Use with any LLM |
| [**Use with any agent**](https://docs.openhands.dev/openhands/usage/agent-canvas/acp-agents) | Use with OpenHands, Claude Code, Codex, Gemini, or any agent with Agent-Client Protocol (ACP). |
If you have questions or feedback, please open a GitHub issue or join the #proj-agent-canvas channel in Slack.
[!NOTE] The code in this repo is moving! See Agent Canvas transition FAQ The source code for OpenHands Agent and Agent Server lives in OpenHands/software-agent-sdk. The source code for Agent Canvas lives in OpenHands/agent-canvas.
Option 2: With a Docker Sandbox
Prerequisites:
- Docker: Docker Desktop on macOS/Windows, or Docker Engine/Docker Desktop on Linux.
- A host directory for
PROJECTS_PATHcontaining the project folders you want the agent to access. Create it before starting the container.
macOS / Linux:
export PROJECTS_PATH="$HOME/projects" # directory containing your project folders
mkdir -p "$PROJECTS_PATH" "$HOME/.openhands"
docker run -it --rm \
-p 8000:8000 \
-v "$HOME/.openhands:/home/openhands/.openhands" \
-v "${PROJECTS_PATH}:/projects" \
ghcr.io/openhands/agent-canvas:1.0.0-rc.11Windows (PowerShell / Windows Terminal): See README.windows.md for the equivalent commands.
The agent will be able to access any project under PROJECTS_PATH.
Quickstart
You can install OpenHands to run agents on any machine: on your laptop, on a dedicated computer like a Mac Mini, or on a server in the cloud.
The most powerful way to run OpenHands is on a server in the cloud. This allows your agents to continue running even when your laptop is shut, and makes it easier to trigger your agents through third-party services like Slack, GitHub, and Datadog. See the self-hosting guide for details, especially with respect to security hardening.
Notably, you can run the backend in multiple different environments, and switch between them from the same Agent Canvas frontend. E.g. you can share an Agent Server with your team for agents doing code review and dependency updates, then have your personal agents running on your laptop.
Option 1: Without a Sandbox
[!WARNING] This runs the agent-server directly on the machine you're installing on — the agent will have full access to your filesystem!
Prerequisites: Node.js 22.12.x or later, uv
npm install -g @openhands/agent-canvas
agent-canvasThe agent-canvas command starts the full local stack by default. You can also split it when you want to run pieces separately:
agent-canvas --frontend-only # static frontend + ingress only
agent-canvas --backend-only # agent server + automation backend + ingress onlyOption 3: From Source
[!WARNING] This runs the agent-server directly on the machine you're installing on — the agent will have full access to your filesystem!
Prerequisites: Node.js 22.12.x or later, npm, uv (for running the agent server via uvx)
git clone https://github.com/OpenHands/agent-canvas.git
cd agent-canvas
npm install
npm run dev---
Access the UI at http://localhost:8000. You can add additional backends directly from the UI.
高星开源项目，Agent框架设计先进，API接口规范，生态活跃。7.3万Stars体现社区认可度高，适合生产环境应用。
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- Python 依赖冲突：建议用 venv / uv 隔离环境
- 云端托管：可放在 Vercel / Railway / Fly.io 等 PaaS 平台
⚡ 核心功能
- 开源免费，支持本地部署，数据完全自主可控
- 活跃的 GitHub 开源社区，持续迭代更新
- 提供详细文档和使用示例，新手友好
- 支持自定义配置，灵活适配不同使用环境
- 可作为基础组件集成进现有技术栈或进行二次开发
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- Python 依赖冲突：建议用 venv / uv 隔离环境
👥 适合人群
🎯 使用场景
- 本地部署运行，保护数据隐私，满足合规要求
- 自定义集成到现有系统，扩展技术栈能力
- 作为开源基础组件进行商业化二次开发
⚖️ 优点与不足
- +GitHub 73.3k Star，社区高度认可
- +完全开源免费，无授权费用
- +本地部署，数据完全自主可控
- +开发者社区支持，遇问题可查可问
- −安装和初始配置可能需要一定技术基础
- −功能完整性通常不如成熟商业产品
- −技术支持主要依赖开源社区，响应速度不稳定
该工具使用 NOASSERTION 协议，商用场景请仔细阅读协议条款，必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
🔗 相关工具推荐
❓ 常见问题 FAQ
AI Skill Hub 点评：OpenHands Agent工作流 的核心功能完整，质量优秀。对于AI爱好者来说，这是一个值得纳入个人工具库的选择。建议先在非生产环境试用，再逐步推广。
| 原始名称 | OpenHands |
| 原始描述 | 开源AI工作流：🙌 OpenHands: AI-Driven Development。⭐73.3k · Python |
| Topics | AI工作流Agent框架自动化开发多模型集成开源工具 |
| GitHub | https://github.com/OpenHands/OpenHands |
| License | NOASSERTION |
| 语言 | Python |
收录时间：2026-05-13 · 更新时间：2026-05-16 · License：NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。