OpenHands

All-Hands-AI / OpenHands

开源的 AI 软件开发智能体平台,可自主编写代码、执行终端命令与操作浏览器。

TypeScript AI Agent LLM 应用 开发工具 自主编码 开源

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目前开源里完成度较高的 AI 软件开发智能体。它能自己写代码、跑终端命令、操作浏览器,把整个任务跑完再交给你审。适合拿来做重复性改造任务的试验。

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来自 GitHub README · main 分支

Agent Canvas

The self-hosted developer control center for coding agents and automations.

Run OpenHands, Claude Code, Codex, Gemini, or any ACP-compatible agent across local, remote, and cloud backends.

Quickstart | Docs | Self-Hosting | ACP Agents | Automations | Slack


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 Run agents locally, in Docker, on VMs, or anywhere you can run an agent server backend
Switch between different backends Switch between local, remote, and cloud agents without losing focus
Create 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 Connect your automations with third-party services like Slack, GitHub, Notion, and more to automate workflows
Bring your own model Use with any LLM
Use with any agent 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.

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 SELF_HOSTING.md 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-canvas

The 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 only

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_PATH containing 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:1.16.0 # x-release-please-version

Windows (PowerShell / Windows Terminal): See README.windows.md for the equivalent commands.

The agent will be able to access any project under PROJECTS_PATH.

Option 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/OpenHands.git
cd OpenHands
npm install
npm run dev

Access the UI at http://localhost:8000 for the npm/source launchers, or http://localhost:8000/canvas for the Docker image. You can add additional backends directly from the UI.

Architecture

Agent Canvas is powered by the OpenHands Agent Server, a REST API for running multiple agents on a single machine. Each Agent Server runs on a single host/port; the Agent Canvas can connect to multiple Agent Servers and easily flip between them.

You can run an Agent Server anywhere:

  • Directly on your laptop (be careful!)
  • On a dedicated machine like a Mac Mini
  • On a virtual machine in the cloud
  • Inside OpenHands Cloud (our commercial offering)

The Agent Server is often paired with an Automation Server, which lets you set up agents that run on a schedule or in response to events.

Repository boundaries

Agent Canvas is part of a multi-repository OpenHands system. Changes should go to the repository that owns the behavior:

Repository Responsibility
OpenHands/OpenHands Agent Canvas frontend, user-facing control center, backend selection, and local-stack orchestration.
OpenHands/software-agent-sdk Python SDK, Agent Server, agents, tools, conversations, workspaces, events, and the canonical server API.
OpenHands/typescript-client Browser-compatible TypeScript client for the Agent Server API.
OpenHands/automation Automation definitions, scheduling, webhooks, run history, and dispatching.

The Agent Server API is implemented by the SDK and consumed through the TypeScript client by Agent Canvas. The automation service decides when work runs and dispatches conversations to the Agent Server/SDK, which decides what runs. See AGENTS.md for contributor-specific boundaries and the required custom code-review guide.

More documentation

文档抓取自 GitHub 仓库 README,版权归原作者所有;已过滤徽章等噪音并经安全消毒后展示。