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OpenHands Agent Canvas

OpenHands Agent Canvas is a developer control center for running coding agents and automations, including OpenHands, Claude Code, Codex, Gemini, and other ACP-compatible agents.

The official materials frame Agent Canvas around local, Docker, VM, cloud, and enterprise-style backends, with a browser UI, Agent Server, prebuilt automations, and a transition from the older OpenHands Local GUI toward Agent Canvas and the Software Agent SDK. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.

What it is

A control center for coding agents

Agent Canvas gives coding-agent work a shared interface: start conversations, choose an agent backend, connect credentials, and manage automations from one browser-based workspace.

Why it stands out

The agent choice is not fixed

The ACP docs describe support for the built-in OpenHands agent plus Claude Code, Codex, Gemini CLI, and custom ACP servers. That makes it useful for testing how different coding agents behave around the same project work.

Availability

Public repos, docs, and beta direction

The flagship OpenHands repo points users toward Agent Canvas, while the transition FAQ says older Local GUI and TUI paths are moving into maintenance or repository changes as the project reorganizes around Agent Canvas and the Software Agent SDK.

Why it matters

Agent choice becomes part of the workflow

OpenHands Agent Canvas is useful when a coding setup needs to move between a laptop, Docker, a VM, a team backend, or a managed service. The same interface can point at different backends and agent choices, so a developer can compare where the work runs, what credentials it needs, and which agent is responsible before turning an automation loose.

Agent switching

ACP support makes comparisons more practical

The ACP docs say Agent Canvas can run the built-in OpenHands agent or external ACP agents such as Claude Code, Codex, and Gemini CLI. The Agent Server owns the subprocess and credentials, while Agent Canvas stores the selected agent per backend and renders what the agent returns.

Automations

Agent work can run on schedules or events

The automation docs list prebuilt flows for GitHub pull-request review, repository monitoring, and Slack channel monitoring. They also say every Canvas backend includes an automation service, so agents can run on a schedule or in response to external events.

Before using

What readers may want to review

Which backend will run the agent: local machine, Docker, VM, OpenHands Cloud, enterprise infrastructure, or another remote setup.

What project folders, shell commands, network access, secrets, conversation data, and working copies the agent server can touch.

The self-hosting security checklist, especially API keys, HTTPS, firewall or VPN controls, SSH access, filesystem protection, and key rotation.

Whether the selected agent is OpenHands, Claude Code, Codex, Gemini CLI, or a custom ACP server, and where that agent stores credentials.

The transition FAQ before relying on older Local GUI or CLI behavior, because OpenHands is moving code and support focus across repositories.

Reader fit

Who may find it relevant

Developers comparing coding agents without wanting each agent trapped in a separate workflow.

Teams that want agents to run on a VM, server, or shared backend instead of only in one laptop session.

People building recurring coding-agent automations for pull requests, repository events, Slack messages, or scheduled work.

Less relevant for someone looking only for a simple chatbot, a model checkpoint, or a no-setup consumer coding assistant.

Editorial note

Why LifeHubber lists it

OpenHands Agent Canvas gives coding-agent users a concrete way to test a harder question: which agent should do the work, where should it run, and what secrets or files does that setup touch? That is more useful than treating OpenHands as one fixed coding assistant.

Source links

Original materials

Reader note

Before relying on this entry

LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.

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