OpenHands (f.k.a. OpenDevin)

Strengths

• Autonomous Agentic Workflows: OpenHands can resolve GitHub issues, create entire greenfield applications, and perform automated testing independently. This allows developers to focus on high-level architecture while the agent handles the implementation details and boilerplate code generation.
• Model Agnostic: The platform connects to almost any LLM provider, including OpenAI, Anthropic, and Google, or local models via Ollama and LiteLLM. This flexibility ensures that you are never locked into a single provider and can always use the most cost-effective or powerful model available.
• Secure Sandboxing: All code execution and command-line operations happen within a secure Docker container. This architecture protects your host system from unintended consequences of AI-generated code and allows for consistent, reproducible development environments across teams.
• Extensible SDK: Beyond the standard agent, OpenHands provides a Software Agent SDK that allows developers to build custom agents for specific domains. These custom agents can be integrated into existing CI/CD pipelines to automate repetitive maintenance or security patching tasks.
• Full Transparency: Being open-source under the MIT License, the platform ensures that there is no hidden data collection or proprietary telemetry. This is critical for privacy-conscious developers and organizations working on sensitive commercial codebases.

Weaknesses

• Resource Intensive: Running autonomous agents along with Docker containers and local LLMs requires a high-performance workstation. Developers using entry-level hardware may experience significant latency and system slowdowns during long-running tasks.
• Learning Curve: The initial setup involves configuring Docker, managing environment variables, and setting up various API keys. Unlike a simple VS Code extension, OpenHands requires a deeper understanding of containerization and infrastructure management to operate effectively.
• Latency: Multi-step autonomous reasoning is naturally slower than the near-instant completions found in traditional AI IDEs. The agent often takes time to "think," plan its actions, and verify the results before presenting them to the user.

Best for

Professional developers and organizations that need a transparent, autonomous AI agent to handle end-to-end engineering tasks or those requiring 100% local data privacy with open-source models.

Pricing plans

• Local Open Source — Free — This is the fully MIT-licensed version of the platform. It allows for unlimited local usage where you only pay for the raw LLM tokens consumed through your own API keys. It is the best choice for privacy and cost control.
• SaaS Individual — Free (BYOK) — A hosted cloud version that provides easier access from mobile or desktop without local setup. You can bring your own API key or use the OpenHands provider at cost on a pay-as-you-go basis for maximum convenience.
• Enterprise — Custom — Designed for large teams that require self-hosted VPC deployments, enterprise-grade SAML/SSO authentication, and priority support. This plan includes a named customer engineer and shared Slack channels for real-time collaboration.

Tech details

• Type: AI Software Agent / CLI Tool.
• IDEs: Supports a native VS Code Extension, a standalone Web-based GUI, and a comprehensive CLI for terminal-first developers.
• Key Features: Features include autonomous issue resolution, integrated web browsing for docs, terminal access within a sandbox, MCP support, and a Software Agent SDK.
• Privacy / hosting: Offers 100% local hosting capabilities via Docker. Data retention and privacy policies depend entirely on the chosen LLM provider or local model setup.
• Models / context window: Compatible with all major frontier models (GPT-4o, Claude 3.7, Gemini 2.0) and any local model supported by Ollama or LiteLLM, providing virtually unlimited context depending on hardware.

When to choose this over Cursor

• Choose OpenHands when you need an agent to work autonomously on complex tasks in the background, allowing you to stay productive on other projects.
• It is the superior choice when absolute privacy is required, as it can be configured to run entirely offline with open-source models like Qwen3-Coder.
• It is ideal for those who want to avoid monthly subscriptions and only pay for the exact amount of tokens used for specific engineering tasks.

When Cursor may be a better fit

• Cursor is better when you need a highly polished, all-in-one editor experience that works instantly with zero configuration.
• If your primary need is real-time, predictive code completion and chat assistance within the editor window rather than autonomous task execution, Cursor is more efficient.

Conclusion

OpenHands (formerly OpenDevin) represents the pinnacle of agentic software development, offering a level of autonomy and flexibility that proprietary IDEs struggle to match. By providing a secure, sandboxed infrastructure and a model-agnostic approach, it empowers every software team to build faster while maintaining complete control over their tech stack. For developers who prioritize open standards, transparency, and deep technical control, OpenHands is the definitive alternative to commercial AI editors.

Sources

• Official site
• GitHub Repository
• Pricing
• Technical Benchmarks

FAQ

Q: Is OpenHands free to use?
A: Yes, the open-source version is free under the MIT license. You only pay for the LLM tokens if using a cloud provider.

Q: Does it replace VS Code?
A: No, it can work alongside VS Code via an extension or as a standalone web interface and CLI.

Q: Can I run it offline?
A: Yes, by connecting it to local models via Ollama, you can run the entire agentic workflow offline.

Q: What makes it different from Cursor's Agent Mode?
A: OpenHands is fully open-source, supports more diverse LLMs, and is designed for more complex, long-running autonomous tasks in a sandbox.