OpenHands
🙌 OpenHands: AI-Driven Development
Is OpenHands safe? Promising trust profile, but some evidence still deserves review.
Compare OpenHands
How does it stack up against its Coding Agents neighbours?
Pick any agent to compare →In detail: OpenHands scores 74.9/100 (Grade B), ranked #238 of 1371 tracked open-source AI agent projects, on evidence coverage A (5 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.2/10; 100% of recent commits are signed; no published advisory affects its latest release (openhands-ai); last pushed 2026-10-09. Every point is earned from checkable signals — never paid placement. How scoring works →
How OpenHands could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Publish build provenance for its packagesPyPI Trusted Publishing attestations +13.4 → 88.3 A · #5 of 77
- Raise the OSSF Scorecard from 4.2 to 9.0lowest checks: CII-Best-Practices 0, Dangerous-Workflow 0, Fuzzing 0 +9.6 → 84.5 A · #8 of 77
Chain of custody
Scanners check what the code says. This traces who ships OpenHands and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Signed
github.com/OpenHands/OpenHands, MIT, last pushed 2026-10-09. 100% of the last 100 commits carry a verified signature, so changes trace to a verified account.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 4.2/10 (scanned Oct 8, 2026). The checks that decide who can get a change released:
- Code Review9
- Branch Protection1
- Signed Releases0
- Dangerous Workflow0
- Token Permissions0
- Pinned Dependencies3
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 1CI-Tests 10CII-Best-Practices 0Code-Review 9Contributors 10Dangerous-Workflow 0Dependency-Update-Tool 10Fuzzing 0License 10Maintained 10Packaging 10Pinned-Dependencies 3SAST 0Security-Policy 0Signed-Releases 0Token-Permissions 0Vulnerabilities 0 -
Published packages Linked, not attested
- PyPI openhands-ai Source link points back to this repo No build attestation
Without a build attestation, nothing proves the published files were built from this repository.
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What you install today No known advisories
Latest release checked: openhands-ai 1.11.0. No published advisory affects it (OSV, checked 2026-10-09).
Changes to this chain
- 2026-09-03 License changed from NOASSERTION to MIT
Evidence behind this score
Coverage A: 5 of 5 independent evidence types found.
- GitHub repository data
- Package downloads
- Supply-chain checks
- Public actions
- Community mentions
Verify this score yourself
Every build re-issues OpenHands’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How OpenHands compares in Coding Agents
- #9 oh-my-pi 83.8 +8.9
- #10 Gemini CLI 76.6 +1.7
- #11 OpenHands 74.9 this agent
- #12 Ouroboros (Agent OS) 74.2 −0.7
- #13 Tura 72.8 −2.1
Bars show each HVTrust score; the tick marks OpenHands’s 74.9.
Where the 74.9 comes from
HVTrust dimensions vs the Coding Agents average
74.9 / 100 · 100.0% confidenceOpenHands Coding Agents average (77 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (5 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
98.7 / 100Common questions about OpenHands
Does OpenHands publish package provenance?
Does OpenHands have an OpenSSF Scorecard?
Is OpenHands actively maintained?
What license does OpenHands use?
Are OpenHands's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Maintain OpenHands?
For maintainers
HVTrust scores OpenHands from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Public Actions
Action counts reflect activity on public repos where this agent left detectable fingerprints. Private repo usage is invisible. Counts are approximate (GitHub Search API caps at 1,000 results per query). Methodology described in the Provenance Profile spec.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/openhands)
<a href="https://hvtracker.net/agents/openhands"><img src="https://hvtracker.net/badge/openhands.svg" alt="HVTrust"></a>
Other agents in Coding Agents
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API · GitHub Search API (fingerprint actions)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON