learn-claude-code 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
A teaching repo that walks you through building a simple Claude Code-style agent harness from scratch.
Open source · MIT
A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud.
Our verdict
These two tools serve different purposes. learn-claude-code is a free tutorial that teaches you how a coding agent is built from scratch, so it suits people who want to understand or build agent internals. OpenHands is a self-hosted app you install to run AI coding agents on your own machine or server, so it suits people who want a working tool with shared control over agents, Slack/GitHub automations, and their choice of model provider.
Pick learn-claude-code if you want to understand how coding agents like Claude Code are structured and you are comfortable reading Python code.
Pick OpenHands if you want a ready-to-run control panel for coding agents on your own server or machine, and you are comfortable with Docker, Node.js, and the command line.
| Key difference | learn-claude-code | OpenHands |
|---|---|---|
| Type | Learning resource: a tutorial for building an agent harness | App: a self-hosted control panel for running coding agents |
| Best at | Explaining how coding agents are designed and built | Running agents on a server, with Slack, GitHub, and Linear automations |
| Setup | Intermediate; clone and build from source | Intermediate; install with a package manager, plus backends and keys |
| Security | Teaching project, not claimed production-ready | Runs without a sandbox by default, giving full filesystem access unless Docker is set up |
| Price and licence | Free, MIT licensed | Free, MIT licensed, about 92.2k GitHub stars |
Written with AI from both products' catalogue entries · updated 2026-10-29
Who each one is for
Choose learn-claude-code if you need…
- Developers who want to understand how coding agents like Claude Code are structured
- Engineers building their own agent tooling who want clear design patterns
- Students learning about LLM agents from a hands-on, code-first angle
- Readers who want a conceptual framing of agents versus scripted workflows
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
| learn-claude-code | OpenHands | |
|---|---|---|
| Type | Learning resource | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 79.7k | 92.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Install with a package manager |
| Main language | Python | TypeScript |
| Last code update | 10 days ago | 4 days ago |
What each one is
learn-claude-code
This repository is a tutorial for building the "harness" around an AI model: the tools, context management, and permission rules that let a model act as a coding agent. It is modeled loosely on Claude Code and is meant to show how such a system is put together from the ground up. The README argues that the model supplies the intelligence while the surrounding code supplies the environment.
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
learn-claude-code
- Developers who want to understand how coding agents like Claude Code are structured
- Engineers building their own agent tooling who want clear design patterns
- Students learning about LLM agents from a hands-on, code-first angle
- Readers who want a conceptual framing of agents versus scripted workflows
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
learn-claude-code
- Free, MIT-licensed, and openly readable code
- Breaks a complex agent system into explainable parts
- Large community interest, with a very high star count shown in the metadata
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
learn-claude-code
- People looking for a ready-to-use coding assistant, since this is a teaching project rather than a finished product
- Non-programmers, because the material assumes comfort reading Python and agent concepts
- Anyone expecting neutral comparisons, since the README takes a strong opinion against workflow-builder style agent platforms
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
learn-claude-code
- The README is a long opinionated essay, so the practical steps are harder to find
- It is a teaching project and does not claim to be production-ready
- The README is truncated here, so the exact tutorial structure and setup details are not confirmed
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
learn-claude-code
Clone the repository
git clone https://github.com/shareAI-lab/learn-claude-codeOpenHands
Install globally with npm (no sandbox)
npm install -g @openhands/agent-canvasStart the full local stack
agent-canvasFrequently asked questions
Should I use learn-claude-code or OpenHands?
These two tools serve different purposes. learn-claude-code is a free tutorial that teaches you how a coding agent is built from scratch, so it suits people who want to understand or build agent internals. OpenHands is a self-hosted app you install to run AI coding agents on your own machine or server, so it suits people who want a working tool with shared control over agents, Slack/GitHub automations, and their choice of model provider. Pick learn-claude-code if you want to understand how coding agents like Claude Code are structured and you are comfortable reading Python code. Pick OpenHands if you want a ready-to-run control panel for coding agents on your own server or machine, and you are comfortable with Docker, Node.js, and the command line.
What is the difference between learn-claude-code and OpenHands?
learn-claude-code: A teaching repo that walks you through building a simple Claude Code-style agent harness from scratch. OpenHands: A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud. learn-claude-code suits developers who want to understand how coding agents like claude code are structured, while OpenHands suits developers who want coding agents running on a server while their laptop is off.
Are learn-claude-code and OpenHands free?
learn-claude-code: Free and open source. OpenHands: Free and open source.
Is learn-claude-code or OpenHands more popular?
OpenHands has more GitHub stars (92.5k) than learn-claude-code (79.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to learn-claude-code and OpenHands?
Other options people compare them with include LangChain, One API, LlamaGPT, codex-chatgpt-web, wechat-bot.
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.