Explore/framework/AgentDV: Closed-Loop Agentic AI for Hardware Design Verification
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Navya Goli, Junzhe Liu, Zhenge Jia, Umamaheswara Rao Tida/AgentDV: Closed-Loop Agentic AI for Hardware Design VerificationUnknown

AgentDV is a closed‑loop agentic AI framework that automates register‑transfer level verification environment generation by iteratively refining testbenches using LLMs, simulation, and coverage analysis. It is aimed at hardware designers needing reliable, coverage‑producing testbenches.

framework
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Production readinessResearch / EarlyBest for exploration and prototyping.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 1 days observed0 not enough history
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Repository activity · 1 days observedReal snapshots from pushed_at
inactivepushed
2026-08-292026-08-31
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
Language
License
Sourcearxiv
Open source✗ No
Commercial use
Docs
Demo

AgentHub Score

55
Score 55/100
Below average

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