JARVIS / HuggingGPT
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Compare JARVIS / HuggingGPT
How does it stack up against its Agent Frameworks neighbours?
Pick any agent to compare →Thin or incomplete trust evidence. Review carefully before production use.
Is JARVIS / HuggingGPT safe? JARVIS / HuggingGPT scores 26.5/100 (Grade D), ranked #811 of 1308 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 2.3/10; 55% of recent commits are signed; last pushed 2025-07-29. Every point is earned from checkable signals — never paid placement. How scoring works →
Ranked neighbours in Agent Frameworks
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 D 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 →
Rank Trend
Activity & Reach
Analysis
HVTrust Dimensions vs Agent Frameworks
26.5 / 100 · 100.0% confidenceJARVIS / HuggingGPT Agent Frameworks average (119 agents)
Activity Inputs
41.9 / 100Supply Chain Trust
Is JARVIS / HuggingGPT safe?
Does JARVIS / HuggingGPT publish package provenance?
Does JARVIS / HuggingGPT have an OpenSSF Scorecard?
Is JARVIS / HuggingGPT actively maintained?
What license does JARVIS / HuggingGPT use?
Are JARVIS / HuggingGPT'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 JARVIS / HuggingGPT?
For maintainers
HVTrust scores JARVIS / HuggingGPT 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
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/jarvis-hugginggpt)
<a href="https://hvtracker.net/agents/jarvis-hugginggpt"><img src="https://hvtracker.net/badge/jarvis-hugginggpt.svg" alt="HVTrust"></a>
Other agents in Agent Frameworks
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON