OpenHands
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AI-driven software development platform — full-stack coding, debugging, deployment with sandboxed execution
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Shared Memory Plugin System Custom Tools MCP Protocol Code Execution Web Browsing File System Access Sandboxing Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Fully model-agnostic
- Docker-sandboxed execution
- Multi-agent delegation
- Browser automation
- MIT license
Weaknesses
- Heavy dependency (70+ pip packages)
- Architecture transition (V0 deprecated)
- Docker required
- Heavier than alternatives
OpenHands Details
| Organization | OpenHands |
| Organization Type | Company |
| Funding | Series a |
| Category | Ready-to-Use |
| Subcategory | Code generation |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.12+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install openhands-ai |
| GitHub Stars | 69,680 |
| GitHub Forks | 8,729 |
| Release Cadence | Weekly |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Fully open-source, free to use |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Very large |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | Claude, GPT, DeepSeek, Qwen, Llama, Ollama |
| API Keys Required | LLM provider API key |
Use Cases
- Full-stack code generation
- Automated debugging
- Sandboxed code execution
- Browser-based task automation
- Multi-agent delegation
When to Use
Best for: Teams wanting model-agnostic AI software development with sandboxing
Avoid when: Lightweight setup needed or Docker not available
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a