--- title: "dify vs OpenHands" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-openhands-openhands" tools: ["langgenius-dify", "openhands-openhands"] --- # dify vs OpenHands Neutral, constraint-first comparison with live GitHub stats. | | [dify](/tools/langgenius-dify.md) | [OpenHands](/tools/openhands-openhands.md) | | --- | --- | --- | | Tagline | Production-ready platform for agentic workflow development | Self-hosted developer control center for coding agents and automations. | | Stars | 148,139 | 79,943 | | Forks | 23,336 | 10,194 | | Open issues | 813 | 350 | | Language | TypeScript | Python | | Adopt for | Dify is a production-ready platform for developing AI-driven workflows. It supports both no-code and low-code environments, making it accessible to a wide range of developers and backed by various AI models. | OpenHands is an adaptable platform designed for developers looking to manage AI-driven coding assistants and automations across various backends, including local, remote, and cloud setups. It supports multiple AI models, | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dify](/tools/langgenius-dify.md) | [OpenHands](/tools/openhands-openhands.md) | | --- | --- | --- | | Open issues (now) | 813 | 350 | | Security scan | No MCP manifest | 2 low (2 low) | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/openhands-openhands/trust.md) | **Typed relationship:** dify _(related)_ OpenHands ## Decision facts: dify - **Adopt for:** Dify is a production-ready platform for developing AI-driven workflows. It supports both no-code and low-code environments, making it accessible to a wide range of developers and backed by various AI models. ## Decision facts: OpenHands - **Pricing:** unknown - The repository doesn't provide specific pricing details; refer to official resources for the most current information on cost structures. - **Requirements:** Min 4 GB RAM; Requires Docker; Requirements might vary based on backend configuration. For local setups, Docker might be required.; Ensure compliance with infrastructure specifications recommended for running AI models efficiently. - **Adopt for:** OpenHands is an adaptable platform designed for developers looking to manage AI-driven coding assistants and automations across various backends, including local, remote, and cloud setups. It supports multiple AI models, ## Choose when ### Choose dify if… - dify is primarily TypeScript; OpenHands is Python. - Graph edge: dify is a typed related of OpenHands - see the relationship row above. - Tags unique to dify: agentic-ai, automation. - - Use Dify when you need a comprehensive environment that combines no-code and low-code development practices with advanced AI capabilities. ### Choose OpenHands if… - OpenHands is primarily Python; dify is TypeScript. - Pricing: The repository doesn't provide specific pricing details; refer to official resources for the most current information on cost structures.. - Requirements: Min 4 GB RAM; Requires Docker; Requirements might vary based on backend configuration. For local setups, Docker might be required.; Ensure compliance with infrastructure specifications recommended for running AI models efficiently.. - Graph edge: OpenHands is a typed related of dify - see the relationship row above. - Tags unique to OpenHands: claude-ai, llm, artificial-intelligence, chatgpt. - Also covers Developer Tools. - OpenHands ships Docker support for self-hosted deployment. - Use OpenHands if you seek a self-hosted solution that provides robust management of AI-driven coding assistants. ## When NOT to use dify - - Avoid using Dify if your project requires heavy customization that goes beyond what is provided by the platform’s no-code and low-code frameworks. - - If your team prefers a self-hosted solution with full control over the environment, but Dify's hosted cloud model might not offer sufficient flexibility for your specific needs. ## When NOT to use OpenHands - Avoid OpenHands if you prefer a fully managed service without self-hosting requirements or the complexity of managing multiple backends. - Do not use it if your primary need is limited to a single AI model and does not benefit from broad compatibility with other agents like Claude Code, Codex, or ACP-compatible agents. ## Common questions ### What is the difference between dify and OpenHands? dify: Production-ready platform for agentic workflow development. OpenHands: Self-hosted developer control center for coding agents and automations.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over OpenHands? Choose dify over OpenHands when dify is primarily TypeScript; OpenHands is Python; Graph edge: dify is a typed related of OpenHands - see the relationship row above; Tags unique to dify: agentic-ai, automation; - Use Dify when you need a comprehensive environment that combines no-code and low-code development practices with advanced AI capabilities. ### When should I choose OpenHands over dify? Choose OpenHands over dify when OpenHands is primarily Python; dify is TypeScript; Pricing: The repository doesn't provide specific pricing details; refer to official resources for the most current information on cost structures.; Requirements: Min 4 GB RAM; Requires Docker; Requirements might vary based on backend configuration. For local setups, Docker might be required.; Ensure compliance with infrastructure specifications recommended for running AI models efficiently.; Graph edge: OpenHands is a typed related of dify - see the relationship row above; Tags unique to OpenHands: claude-ai, llm, artificial-intelligence, chatgpt; Also covers Developer Tools; OpenHands ships Docker support for self-hosted deployment; Use OpenHands if you seek a self-hosted solution that provides robust management of AI-driven coding assistants. ### When should I avoid dify? - Avoid using Dify if your project requires heavy customization that goes beyond what is provided by the platform’s no-code and low-code frameworks. - If your team prefers a self-hosted solution with full control over the environment, but Dify's hosted cloud model might not offer sufficient flexibility for your specific needs. ### When should I avoid OpenHands? Avoid OpenHands if you prefer a fully managed service without self-hosting requirements or the complexity of managing multiple backends. Do not use it if your primary need is limited to a single AI model and does not benefit from broad compatibility with other agents like Claude Code, Codex, or ACP-compatible agents. ### Is dify or OpenHands more popular on GitHub? dify has more GitHub stars (148,139 vs 79,943). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and OpenHands open source? Yes - both are open-source projects on GitHub (dify: Other, OpenHands: Other). ### Where can I find alternatives to dify or OpenHands? GraphCanon lists graph-backed alternatives at /tools/langgenius-dify/alternatives and /tools/openhands-openhands/alternatives (/tools/langgenius-dify/alternatives.md, /tools/openhands-openhands/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/langgenius-dify-vs-openhands-openhands.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or OpenHands? dify: Very active. OpenHands: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for dify and OpenHands? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify: /tools/langgenius-dify/trust; OpenHands: /tools/openhands-openhands/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgenius-dify`](/api/graphcanon/graph?tool=langgenius-dify) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_