ifixai-ai/iFixAi
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #1 among AI repositories tracked this week, and #13 over the last 30 days; #5 of 2,215 repositories GStars tracks this week (top 1%).
5 releases in the last 90 days, the latest 6 days ago, with 15 contributors on GitHub.
Peaked at #5 in the weekly ranking the week of Oct 11, its best in the past year.
Use Cases & Benefits
- Provides independent auditing of AI agents to verify if they perform according to business KPIs and organizational goals within 120 seconds.
- Balances AI red-teaming and operational assurance to deliver a comprehensive, citable grade on agent alignment and safety.
- Use for auditing deployed AI agents via HTTP endpoints to assess real-world governance and compliance automatically.
- Use for integrating AI agent evaluation into CI pipelines with scriptable CLI flags for automated, repeatable risk assessments.
- Use for interactive, in-agent diagnostics via plugins or skills to get guided explanations and detailed scorecards inside development environments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan.
One ifixai run, end to end: guided setup picks the system, judge, and suite; the run verifies the connection and saves your config; 32 inspections execute across five pillars; and the result lands as an A–F grade with a scored core-pillar scorecard.
The existing Eval, Red-teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency, latency, prompt injections). They cannot answer the most crucial question.
Is the agent doing the job it is supposed to do based on the business KPIs and Organizational Structure? iFixAi gives you this answer in less than 120 seconds by striking the right balance between AI-Red Teaming and Operational Assurance.
Adversarial depth. Assurance discipline. All-in-one auditing process.
All three run the same diagnostic underneath. The difference is how you configure and drive it.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+9,150 stars over 14 days across 10 snapshot days; best day +925 on Oct 5.
Forks
1.5K+137
Open issues
5-6
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| storytold/artcraft | 27.9K | +23.3K | 75 | 18 days ago |
| heygen-com/hyperframes | 63.7K | +5.1K | 45 | today |
| ifixai-ai/iFixAi | 27.4K | +4.8K | 75 | 6 days ago |
| vxcontrol/pentagi | 29.5K | +4.1K | 75 | 9 days ago |
| calesthio/OpenMontage | 68.3K | +3.4K | 75 | — |
| chthollyphile/folia-major | 6.3K | +2.5K | 75 | 1 day ago |
| Category median | 29.5K | +4.1K | 75 | — |
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