OpenHands is the project that started as OpenDevin, which was itself a response to Cognition's Devin demo, and its value now has very little to do with that origin. What it offers is an open-source software agent stack you can read, run and modify, at a moment when almost every serious coding agent is a closed product with a marketing page where the architecture should be. The documented surface has grown into an ecosystem rather than a single application: an Agent Canvas as the browser client, a Software Agent SDK in Python, an Agent Server exposing execution APIs, sandbox infrastructure, CLI tooling and deployment guides. The complete index sits at docs.openhands.dev, with an llms.txt if you want to feed the whole thing to a model, which is a considerate touch and increasingly the sign of a documentation team paying attention.
The SDK documentation is the part worth your time. It documents the framework as a framework, covering how an agent is constructed, how tools are registered, how the execution loop is structured and where you intervene. Reading it teaches you things about agent design that no amount of using Cursor or Claude Code will, because those hide exactly the decisions you want to see. Anybody building agentic systems commercially should read this even if they never deploy OpenHands, purely for the architecture.
The sandbox and Agent Server material deserves specific credit for being honest about the hard problem. Running model-generated code safely is the thing that separates a demo from a product, and the docs treat isolation, resource limits and the execution boundary as first-class concerns rather than an appendix. Most agent tutorials handwave this entirely and then act surprised. The pricing structure is clean.
The open source is free and genuinely usable, not a demo tier designed to fail at the point of usefulness. OpenHands Cloud adds hosted execution, integrations, collaboration, access controls, usage reporting and budget management, which is the correct list of things a team actually needs and does not want to build. Enterprise self-hosting and managed deployment exist above that. The commercial layers are sensibly drawn around operational concerns rather than around crippling the open version.
The weaknesses are real. This is reference documentation and quickstart material, not teaching. There is no path that takes a competent developer who has never built an agent and walks them to understanding, only a set of accurate documents that assume you already know why you are here. That is a legitimate choice for a technical project and it does mean the learning curve is steeper than the quickstart implies.
You need to be comfortable with Python and with containers before this is pleasant. The renaming history is the other practical problem. The project has been OpenDevin and All Hands and OpenHands, the docs have moved domains, and the repository structure has been reorganised more than once. Search results and blog posts from a year ago point at things that have moved or no longer exist, and the docs do not always signal what has changed.
Expect to verify anything you read elsewhere against the current documentation rather than trusting it. Three point six. The best available open-source education in how software agents are actually built, marked down because it is reference rather than teaching and because the project's own history of restructuring makes everything written about it age badly.