OpenHands Agent Canvas lets developers run any AI coding agent from one interface
OpenHands released Agent Canvas, an agent-agnostic interface that lets developers run and switch between AI coding agents — including OpenHands, Codex, Gemini, and Claude-powered workflows — across local machines, GPU clusters, and cloud infrastructure from a single workspace.
Score breakdown
Agent Canvas removes the need to maintain separate tooling setups for different AI coding agents, letting developers switch between Codex, Gemini, Claude, and custom ACP implementations while keeping a single consistent interface and backend configuration.
- 01Agent Canvas is a new interface from OpenHands for managing AI coding agents across local machines, GPU clusters, and cloud infrastructure.
- 02The interface is agent-agnostic, supporting OpenHands, Codex, Gemini, Claude-powered workflows, and custom ACP implementations.
- 03Users can switch between different language models and agent frameworks from within the same workspace.
OpenHands released Agent Canvas, a new interface designed to give developers a single workspace for controlling AI coding agents regardless of where those agents run or which model powers them. In a demo, Graham from OpenHands walks through the core capabilities: connecting to multiple backends (a local home machine, GPU clusters, and OpenHands Cloud), switching between language models, and selecting different agent frameworks including Codex, Gemini, Claude-powered workflows, and custom ACP implementations — all without changing the developer experience.
A key feature highlighted is the ability to launch ephemeral, isolated cloud sandboxes on OpenHands Cloud, enabling multiple parallel software engineering tasks to run simultaneously on separate machines.
A key feature highlighted is the ability to launch ephemeral, isolated cloud sandboxes on OpenHands Cloud, enabling multiple parallel software engineering tasks to run simultaneously on separate machines. The demo also covers Agent Canvas's automations feature, which allows agent tasks to run on a schedule — the example shown involves automatically bringing PR branches up to date with main and resolving merge conflicts on a recurring basis. The Agent Canvas source is available on GitHub and documentation is hosted at the OpenHands docs site.
Key facts
- 01Agent Canvas is a new interface from OpenHands for managing AI coding agents across local machines, GPU clusters, and cloud infrastructure.
- 02The interface is agent-agnostic, supporting OpenHands, Codex, Gemini, Claude-powered workflows, and custom ACP implementations.
- 03Users can switch between different language models and agent frameworks from within the same workspace.
- 04OpenHands Cloud support allows spinning up multiple isolated ephemeral sandboxes for parallel engineering tasks.
- 05An automations feature lets users schedule recurring agent tasks, such as keeping PR branches up to date with main and resolving merge conflicts.
- 06Agent Canvas source code is available at github.com/OpenHands/agent-canvas/.
Topics
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