BoxLite

The micro-VM for AI agents — light enough to embed on your laptop, elastic enough to power an agentic cloud.

Sandboxes & Runtimes Rust Grade B Listed Apache-2.0
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Listing state
Listed
HVTrust
74.7/100 · Grade B
Evidence coverage
Grade B · 3/5 signals
Last push
2026-07-14 · 1d ago
Recent change
New

Is BoxLite safe? BoxLite scores 74.7/100 (Grade B), ranked #71 of 417 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; no OSSF Scorecard result yet; 100% of recent commits are signed; last pushed 2026-07-14. Every point is earned from checkable signals — never paid placement. How scoring works →

Quick Trust Read

Verdict
Promising trust profile, but some evidence still deserves review.
74.7/100 · Grade B
Strongest Signal
Identity / Provenance
18.0/18
Weakest Signal
Safety / Integrity
12.5/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-14
Newly Listed
First tracked at rank #71
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
80.0
Activity Score · out of 100
74.7
HVTrust Score · out of 100
#71
Global Rank · of 417
#2

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 B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-15 01:00 UTC · Repo last pushed yesterday

Rank Trend

2026-07-14 2026-07-15

Activity & Reach

Stars
2.2k
Forks
139
Last Push
2026-07-14
yesterday
Commits (4 wk)
103
Downloads (7d)
7,918
npm+pypi
HN mentions (30d)
Open Issues
34
Rank Change
=
was #71

Analysis

HVTrust Dimensions

74.7 / 100 · 100.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
12.5 / 25
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
19.9 / 20
Adoption60% stars · 40% downloads, log-scaled
13.2 / 20

Activity Inputs

80.0 / 100
StarsRepository reach
20.0 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
10.0 / 20

Supply Chain Trust

Package Provenance
Verified
npm, pypi attestation
OSSF Scorecard
Not available
Signed Commits
100%
of last 100 commits verified

Is BoxLite safe?

BoxLite has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does BoxLite publish package provenance?
Yes. BoxLite's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does BoxLite have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for BoxLite. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is BoxLite actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does BoxLite use?
BoxLite ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are BoxLite's commits signed?
100% of the last 100 commits to BoxLite are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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.

Compare BoxLite head-to-head

Ranked neighbours in Sandboxes & Runtimes

AI agent surface

Scored in HVTrust

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 Server Support
None detected
No MCP server signal detected.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
  • browser
  • database
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain BoxLite?

HVTrust scores BoxLite 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.

Reputation Timeline

Listed 1
2026-07-14
Newly Listed
First tracked at rank #71

Embed Badge Badge guide for maintainers →

HVTrust 74.7 Grade B
Markdown:
[![HVTrust](https://hvtracker.net/badge/boxlite.svg)](https://hvtracker.net/agents/boxlite)
HTML:
<a href="https://hvtracker.net/agents/boxlite"><img src="https://hvtracker.net/badge/boxlite.svg" alt="HVTrust"></a>

Other agents in Sandboxes & Runtimes

BoxLite head-to-head

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON