--- title: "harbor vs OpenHands" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/av-harbor-vs-openhands-openhands" tools: ["av-harbor", "openhands-openhands"] --- # harbor vs OpenHands *GraphCanon updated Jul 15, 2026* ## Verdict Pick harbor when license: harbor is Apache-2.0, OpenHands is Other; pick OpenHands when license: OpenHands is Other, harbor is Apache-2.0. [harbor](https://discord.gg/8nDRphrhSF) reports 3.1k GitHub stars, 212 forks, and 56 open issues, last pushed Jun 21, 2026. [OpenHands](https://openhands.dev) has 80k stars, 10k forks, and 359 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [harbor's repository](https://github.com/av/harbor) and [OpenHands's repository](https://github.com/OpenHands/OpenHands). | | [harbor](/tools/av-harbor.md) | [OpenHands](/tools/openhands-openhands.md) | | --- | --- | --- | | Tagline | Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore. | AI-Driven Development | | Stars | 3,140 | 80,430 | | Forks | 212 | 10,259 | | Open issues | 56 | 359 | | Language | Python | Python | | Adopt for | - | OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [harbor](/tools/av-harbor.md) | [OpenHands](/tools/openhands-openhands.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 24d | 0d | | Open issues (now) | 56 | 359 | | Owner type | User | Organization | | Full report | [trust report](/tools/av-harbor/trust.md) | [trust report](/tools/openhands-openhands/trust.md) | ## Decision facts: OpenHands - **Adopt for:** OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python. ## Choose when ### Choose harbor if… - License: harbor is Apache-2.0, OpenHands is Other. - Tags unique to harbor: ai, automation, bash, container. - Leaner open-issue backlog (56). ### Choose OpenHands if… - License: OpenHands is Other, harbor is Apache-2.0. - Tags unique to OpenHands: agent, artificial-intelligence, chatgpt, claude-ai. - - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI. ## When NOT to use harbor - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use OpenHands - - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI. ## Common questions ### What is the difference between harbor and OpenHands? harbor: Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.. OpenHands: AI-Driven Development. See the comparison table for live GitHub stats and shared categories. ### When should I choose harbor over OpenHands? Choose harbor over OpenHands when License: harbor is Apache-2.0, OpenHands is Other; Tags unique to harbor: ai, automation, bash, container; Leaner open-issue backlog (56). ### When should I choose OpenHands over harbor? Choose OpenHands over harbor when License: OpenHands is Other, harbor is Apache-2.0; Tags unique to OpenHands: agent, artificial-intelligence, chatgpt, claude-ai; - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI. ### When should I avoid harbor? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid OpenHands? - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI. ### Is harbor or OpenHands more popular on GitHub? OpenHands has more GitHub stars (80,430 vs 3,140). Stars measure visibility, not whether either tool fits your constraints. ### Are harbor and OpenHands open source? Yes - both are open-source projects on GitHub (harbor: Apache-2.0, OpenHands: Other). ### Where can I find alternatives to harbor or OpenHands? GraphCanon lists graph-backed alternatives at [harbor alternatives](/tools/av-harbor/alternatives) and [OpenHands alternatives](/tools/openhands-openhands/alternatives) ([harbor markdown twin](/tools/av-harbor/alternatives.md), [OpenHands markdown twin](/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 [this comparison](/compare/av-harbor-vs-openhands-openhands.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, harbor or OpenHands? harbor: 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 harbor and OpenHands? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [harbor trust report](/tools/av-harbor/trust); [OpenHands trust report](/tools/openhands-openhands/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=av-harbor`](/api/graphcanon/graph?tool=av-harbor) - 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/_