GitDiagram vs OpenHands
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Turns a GitHub repository into an interactive architecture diagram or a one-minute narrated video.
Open source · MIT
A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud.
The short answer
Choose GitDiagram if you need…
- Developers getting oriented in an unfamiliar codebase
- Students studying how a real project is structured
- Teams wanting a quick visual overview to share with others
- People who want to explore a repo's components and jump to their linked files
Choose OpenHands if you need…
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Side-by-side
| GitDiagram | OpenHands | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 18.7k | 92.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Install with a package manager |
| Main language | TypeScript | TypeScript |
| Last code update | 7 days ago | 4 days ago |
What each one is
GitDiagram
GitDiagram takes a public or private GitHub repository and generates an interactive architecture diagram of it, with an AI-written explanation. You can also watch a short narrated video that explains what the project is for and how its main parts fit together. Replacing 'hub' with 'diagram' in a GitHub URL opens the diagram view.
OpenHands
Agent Canvas is a self-hosted control center for AI coding agents. You start conversations with agents and set up automations, such as generating reports that publish to Slack or breaking GitHub issues into tasks. It runs on your own machine by default and can also connect to agents running in Docker, on virtual machines, or on OpenHands Cloud or Enterprise infrastructure. It can run the open source OpenHands agent or third-party agents such as Claude Code, Codex, and Gemini CLI.
Best for
GitDiagram
- Developers getting oriented in an unfamiliar codebase
- Students studying how a real project is structured
- Teams wanting a quick visual overview to share with others
- People who want to explore a repo's components and jump to their linked files
- AI agent users who want architecture context for a repository
OpenHands
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Strengths
GitDiagram
- Free to use on the hosted site, with no key or sign-in needed for the MCP server
- Interactive diagrams link components to the actual code
- Open source under the MIT license, so you can read and modify it
OpenHands
- Self-hosted, so you control where agents run and where your work is stored
- Supports several agents and backends from one frontend
- Released under the MIT license with a large public community (about 92,000 stars)
Not ideal for
GitDiagram
- Anyone needing guaranteed-accurate documentation, since the diagrams and explanations are AI-generated and the README does not describe verification
- People who need to run it locally without setting up several paid services, because the local setup requires Bun, Cloudflare R2, Upstash Redis and an OpenAI or OpenRouter key
- Users wanting to create new explainer videos freely, since making new videos is described as in early access
OpenHands
- People who need strong isolation by default: the quickstart without a sandbox gives the agent full access to your filesystem
- Non-technical users who are not comfortable with Node.js, npm, Docker, or the command line
- Anyone who needs a fully hosted service with no setup, since the README centers on self-hosting
Trade-offs
GitDiagram
- Diagrams and explanations are AI-generated, so details may be wrong and should be checked against the code
- Running it locally requires several external services and API keys, and video generation is off by default
- Making new explainer videos is described as early access, so availability may be limited
OpenHands
- Running without a sandbox gives the agent full access to your filesystem, so the Docker options need careful setup
- Multiple features depend on configuring backends, LLM keys, and integrations, which takes effort
- The README is truncated and does not fully document security hardening or every integration; see the linked docs
Getting started
GitDiagram
Clone the repository
git clone https://github.com/ahmedkhaleel2004/gitdiagram.gitEnter the project folder
cd gitdiagramOpenHands
Install globally with npm (no sandbox)
npm install -g @openhands/agent-canvasStart the full local stack
agent-canvasFrequently asked questions
What is the difference between GitDiagram and OpenHands?
GitDiagram: Turns a GitHub repository into an interactive architecture diagram or a one-minute narrated video. OpenHands: A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud. GitDiagram suits developers getting oriented in an unfamiliar codebase, while OpenHands suits developers who want coding agents running on a server while their laptop is off.
Are GitDiagram and OpenHands free?
GitDiagram: Free and open source. OpenHands: Free and open source.
Is GitDiagram or OpenHands more popular?
OpenHands has more GitHub stars (92.5k) than GitDiagram (18.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to GitDiagram and OpenHands?
Other options people compare them with include Gitingest, DeepWiki, AI Website Cloner, CodeEdit, One API.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.