Home/Compare/harbor vs OpenHands

Comparison

harbor vs OpenHands

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.

Markdown twin · harbor alternatives · OpenHands alternatives

GraphCanon updated today

harbor logo

harbor

av/harbor

3.1kpushed Jun 21, 2026
vs
OpenHands logo

OpenHands

OpenHands/OpenHands

80kpushed Jul 11, 2026

Trust & integrity

SignalharborOpenHands
Maintenance
Active (24d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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

Stars

harbor
3.1k
OpenHands
80k

Forks

harbor
212
OpenHands
10k

Open issues

harbor
56
OpenHands
359

Language

harbor
Python
OpenHands
Python

Adopt for

harbor
-
OpenHands
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

harbor
-
OpenHands
-

Runtime

harbor
-
OpenHands
-

License

harbor
Apache-2.0
OpenHands
Other

Last pushed

harbor
Jun 21, 2026
OpenHands
Jul 11, 2026

Categories

harbor
Developer Tools, LLM Frameworks
OpenHands
Developer Tools, LLM Frameworks

Trust and health

Maintenance

harbor
Active (82%)
OpenHands
Very active (96%)

Days since push

harbor
24d
OpenHands
0d

Open issues (now)

harbor
56
OpenHands
359

Owner type

harbor
User
OpenHands
Organization

Full report

OpenHands
Trust report

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).

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: harbor 3.1k · OpenHands 80k (synced Jul 15, 2026).

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 and OpenHands alternatives (harbor markdown twin, OpenHands markdown twin), 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 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; OpenHands trust report.

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