#35 · Primary category: MLOps & Evaluation

iFixAi

agent-evaluation ai ai-alignment ai-evaluation ai-governance ai-safety cli diagnostic-tool eu-ai-act hallucination-detection iso-42001 llm-evaluation llm-security nist-ai-rmf owasp-llm prompt-injection python responsible-ai risk-assessment risk-management

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.

Project last updated:08/28/26

GitHub Stars

11.4K

Forks

1.2K

Contributors

12

License

Apache-2.0

Why we included this project

Evaluation harnesses that track latency and token efficiency tell you how fast an agent runs, not whether it is actually doing the job it was hired for. iFixAi closes that gap: one run executes 32 inspections across five pillars and returns a grade from A to F in under two minutes. The checks are domain-agnostic, so you describe your roles, tools and policies in a fixture file and the same suite adapts to healthcare, finance or customer support instead of assuming a generic tech stack. That makes it a sensible complement to the evaluation setup a team already has, and since it ships as a CLI or a Python library, it drops into existing CI without much ceremony.

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