Explore/agent app/Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning
N

Shuvendu K. Lahiri/Neuro-Formal Verification: Agentic Language-Agnostic Formal Program ReasoningUnknown

Formal verification offers the strongest assurance available for software, and verification-aware languages have made its automation real. Yet the benefits reach few mainstream developers, most of whose languages have no verification support. Besides, specifying properties and modeling the environment require expertise in formal methods. Proof is therefore reserved for a few celebrated artifacts, while the production code that ships is attested only through review and testing. We introduce neuro-formal verification (NFV), which harnesses that automation for developers of mainstream programming languages: an AI coding agent translates, an established verifier decides, and a question posed in a mainstream language is answered push-button, at empirical accuracy rather than soundness, with a machine-checked proof. Results on a dataset of correct and incorrect solutions to Python programming problems are encouraging compared to an {llm-as-judge} baseline: NFV returns a Dafny proof of correctness or of a bug on 57% of the entries at 92% precision, and a CBMC counterexample for 63% of the buggy programs at 90% precision.

agent app
GitHubCompare
Refreshed 7h ago
OverviewActivity52wAlternativesDocs
Stars0
Forks0
HF Downloads—30d
Last commit—
Refreshed7h ago
Project healthUnknownNo activity data.
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 · 2 days observed0 not enough history
snapshots
Repository activity · 2 days observedReal snapshots from pushed_at
inactivepushed
2026-08-282026-08-31
Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language—
License—
Sourcearxiv
Open source✗ No
Commercial use—
Docs—
Demo—

AgentHub Score

55
Score 55/100
Below average

Alternatives

O
OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings
0 · agent app
55
T
Thinking on Shots: Consistent Multi-Shot Video Editing with Agentic Reasoning
0 · agent app
55
U
Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents
0 · agent app
55
S
SysEvolve: An AI-native, safe, autonomous adversarial attack-defense co-evolutionary system
0 · agent app
55Compare all →

Recent activity

Latest commit ——
Indexed by AgentHub crawler7h ago
Monitor for new releasesongoing