--- title: "OpenHands vs serena" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openhands-openhands-vs-oraios-serena" tools: ["openhands-openhands", "oraios-serena"] --- # OpenHands vs serena Neutral, constraint-first comparison with live GitHub stats. | | [OpenHands](/tools/openhands-openhands.md) | [serena](/tools/oraios-serena.md) | | --- | --- | --- | | Tagline | Self-hosted developer control center for coding agents and automations. | The IDE for Your Coding Agent | | Stars | 79,943 | 26,210 | | Forks | 10,194 | 1,743 | | Open issues | 350 | 126 | | Language | Python | Python | | 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, | Serena is an IDE toolkit that provides AI agents with essential semantic code retrieval, editing, refactoring, and debugging tools. It leverages the Model Context Protocol (MCP) to integrate seamlessly into any client or | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenHands](/tools/openhands-openhands.md) | [serena](/tools/oraios-serena.md) | | --- | --- | --- | | Open issues (now) | 350 | 126 | | Security scan | 2 low (2 low) | 1 medium (1 medium) | | Full report | [trust report](/tools/openhands-openhands/trust.md) | [trust report](/tools/oraios-serena/trust.md) | **Typed relationship:** OpenHands _(related)_ serena Serena and OpenHands both aim to provide a tool or system that enhances the capabilities of coding agents, but they approach this goal differently. Serena is an AI-driven coding toolkit with semantic retrieval and editing features, while OpenHands is a self-hosted developer control center for coding agents and automations. ## 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, ## Decision facts: serena - **Requirements:** Min 4 GB RAM; Install only via the Quick Start guide provided on their GitHub page to avoid outdated version installation issues. - **Adopt for:** Serena is an IDE toolkit that provides AI agents with essential semantic code retrieval, editing, refactoring, and debugging tools. It leverages the Model Context Protocol (MCP) to integrate seamlessly into any client or ## Choose when ### Choose OpenHands if… - License: OpenHands is Other, serena is MIT. - 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.. - Serena and OpenHands both aim to provide a tool or system that enhances the capabilities of coding agents, but they approach this goal differently. Serena is an AI-driven coding toolkit with semantic retrieval and editing features, while OpenHands is a self-hosted developer control center for coding agents and automations. - Tags unique to OpenHands: claude-ai, llm, artificial-intelligence, chatgpt. - Use OpenHands if you seek a self-hosted solution that provides robust management of AI-driven coding assistants. ### Choose serena if… - License: serena is MIT, OpenHands is Other. - Requirements: Min 4 GB RAM; Install only via the Quick Start guide provided on their GitHub page to avoid outdated version installation issues.. - Serena and OpenHands both aim to provide a tool or system that enhances the capabilities of coding agents, but they approach this goal differently. Serena is an AI-driven coding toolkit with semantic retrieval and editing features, while OpenHands is a self-hosted developer control center for coding agents and automations. - Tags unique to serena: mcp-server, ai-coding, language-server, programming. - When you need high-level abstractions for coding tasks like symbol-aware navigation, cross-file renames, moves, references, and dependency jumps in large codebases. ## 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. ## When NOT to use serena - For projects where text edits are minimal or non-code tasks dominate - Serena's high-level semantics may not bring significant benefits if you don't work within large, complex codebases. - If you're looking for a tool that relies on traditional low-level concepts such as line numbers or basic search functions; Serena operates at the symbol level and focuses more robustly on relational-­ ## Common questions ### What is the difference between OpenHands and serena? OpenHands: Self-hosted developer control center for coding agents and automations.. serena: The IDE for Your Coding Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenHands over serena? Choose OpenHands over serena when License: OpenHands is Other, serena is MIT; 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.; Serena and OpenHands both aim to provide a tool or system that enhances the capabilities of coding agents, but they approach this goal differently. Serena is an AI-driven coding toolkit with semantic retrieval and editing features, while OpenHands is a self-hosted developer control center for coding agents and automations; Tags unique to OpenHands: claude-ai, llm, artificial-intelligence, chatgpt; Use OpenHands if you seek a self-hosted solution that provides robust management of AI-driven coding assistants. ### When should I choose serena over OpenHands? Choose serena over OpenHands when License: serena is MIT, OpenHands is Other; Requirements: Min 4 GB RAM; Install only via the Quick Start guide provided on their GitHub page to avoid outdated version installation issues.; Serena and OpenHands both aim to provide a tool or system that enhances the capabilities of coding agents, but they approach this goal differently. Serena is an AI-driven coding toolkit with semantic retrieval and editing features, while OpenHands is a self-hosted developer control center for coding agents and automations; Tags unique to serena: mcp-server, ai-coding, language-server, programming; When you need high-level abstractions for coding tasks like symbol-aware navigation, cross-file renames, moves, references, and dependency jumps in large codebases. ### 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. ### When should I avoid serena? For projects where text edits are minimal or non-code tasks dominate - Serena's high-level semantics may not bring significant benefits if you don't work within large, complex codebases. If you're looking for a tool that relies on traditional low-level concepts such as line numbers or basic search functions; Serena operates at the symbol level and focuses more robustly on relational-­ ### Is OpenHands or serena more popular on GitHub? OpenHands has more GitHub stars (79,943 vs 26,210). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenHands and serena open source? Yes - both are open-source projects on GitHub (OpenHands: Other, serena: MIT). ### Where can I find alternatives to OpenHands or serena? GraphCanon lists graph-backed alternatives at /tools/openhands-openhands/alternatives and /tools/oraios-serena/alternatives (/tools/openhands-openhands/alternatives.md, /tools/oraios-serena/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/openhands-openhands-vs-oraios-serena.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenHands or serena? OpenHands: Very active. serena: 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 OpenHands and serena? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenHands: /tools/openhands-openhands/trust; serena: /tools/oraios-serena/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openhands-openhands`](/api/graphcanon/graph?tool=openhands-openhands) - 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/_