OpenHands
Open-source autonomous coding agent framework (formerly OpenDevin) with 74K+ GitHub stars, self-hosted free, and up to 72% SWE-bench score.
OpenHands (formerly OpenDevin) is the leading open-source autonomous software engineering agent, built by All Hands AI and available under a permissive open-source license. The framework provides a sandboxed execution environment where agents can browse the web, execute shell commands, write and run tests, edit files, and interact with real APIs - not just generate code in isolation. It is fully model-agnostic: connect Claude Opus 4.5, GPT-5, Gemini 2.5 Pro, or any Ollama-hosted local model. The CodeAct architecture makes code execution the primary agent action space, enabling agents to write code that calls other code, invoke shell commands, and validate output in a real execution environment. On SWE-Bench Verified, OpenHands achieves 53%+ with standard models and up to 72% with Claude Sonnet 4.5 extended thinking. With 74,400+ GitHub stars, it is one of the most-starred AI repositories on GitHub. All Hands AI raised $18.8M Series A in November 2025.
Key Features
- Self-hosted via Docker - completely free with any LLM API key
- CodeAct architecture - agents use real code execution as the primary action space
- Full sandboxed environment: shell commands, web browsing, test running, file system access
- Model-agnostic: Claude, GPT-5, Gemini, Mistral, or any Ollama-hosted local model
- Up to 72% SWE-Bench Verified score (Claude Sonnet 4.5 with extended thinking)
- Software Agent SDK for building custom agents on top of the framework
- OpenHands Cloud - managed BYOK free tier and pay-as-you-go credits
Use Cases
- Teams wanting Devin-level autonomous coding without Devin pricing
- Self-hosted and air-gapped environments where cloud coding agents are not permitted
- Researchers and developers building custom agent systems on top of the framework
- Complex multi-step tasks requiring real web browsing, shell execution, and API interaction
- Organizations evaluating autonomous coding at zero tool cost before committing to commercial products
Pros
- Completely free to self-host - the only cost is LLM API tokens
- 74K+ GitHub stars and active community - the most widely tested open-source agent framework
- Model-agnostic design means switching models requires no infrastructure changes
Cons
- Self-hosting requires Docker setup and ongoing maintenance - not as simple as cloud tools
- Complex multi-step tasks still need human oversight; reliability varies significantly by model
- Cloud PAYG pricing structure doesn't publish clear per-task cost estimates
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