Score7.8
Popularity76.0
Risklow
TierSilver
Score breakdown
Usefulness7.8
Novelty7.3
Momentum7.2
Maturity7.3
Open-source/build7.4
Evidence7.2
Workflow potential7.8
Setup ease6.5
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI safety researchers, alignment researchers, red-teamers, security engineers, and platform teams who want a Karpathy-autoresearch-style closed-loop harness for iterating on LLM guardrail policies without writing the loop glue from scratch, because SantanderAI/autoguardrails ships an Apache-2.0 open-source alignment research scaffold that searches over a single mutable `policy.md` surfa
Who should use it
Who should skip it
Skip if the source link, docs, or setup requirements do not match your workflow.
Risk explanation
Risk label needs manual review.