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border-bottom: none">Agent Canvas The self-hosted developer control center for coding agents and automations. Run OpenHands, Claude Code, Codex, Gemini, Pi, OpenCode, or any ACP-compatible agent across local, remote, and cloud backends.
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collected from the e2b-dev/awesome-ai-agents list · type: MCP server
Harvest history
first seen 2026-10-14 · last seen 2026-10-16 · seen 5× · listed by 3 sources
Score
score 303 · 3 sources · mcp
FAQ (answers come from our records)
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We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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first catalogued 2026-10-14;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
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Agent Canvas

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

The self-hosted developer control center for coding agents and automations.
Run OpenHands, Claude Code, Codex, Gemini, Pi, OpenCode, 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 third-party agents such as Claude Code, Codex, Gemini CLI, Pi, and OpenCode.
| | |
| -------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| **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, Pi, OpenCode, 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 24 or later, uv
The agent-canvas command starts the full local stack by default. You can also split it when you want to run pieces separately:
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.
Source
awesome · https://github.com/OpenDevin/OpenDevin
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