Hey Product Hunt 👋 — Arnaud here, founder of RecruitBase. RecruitBase started with a simple belief: hiring decisions should be structured and objective, not gut-feel. We built tools to help companies evaluate human candidates fairly — structured interviews, scoring rubrics, culture fit assessments. But while talking to the teams using RecruitBase, we kept hearing a second problem: "We know we need to adopt AI agents. We just don't know which one is right for us." They weren't asking which agent scored highest on a benchmark. They were asking which agent would actually work inside their specific workflow, under their compliance requirements, with their tools. That question didn't have a good answer. So we built one. AgentFit applies the same philosophy we used for human hiring — structured evaluation, objective scoring, clear rationale — to AI agent procurement. You define your requirements. AgentFit evaluates any agent against them across 7 dimensions and tells you, with explanations, which one fits. It's fully open source (Apache 2.0). Bring your own agent — OpenAI, Anthropic, Google, or custom. No data leaves your environment. Would love your feedback, especially if you've faced the "which agent do we actually use?" decision at your company. What made it hard? → GitHub: github.com/RecruitBase/agentfit → RecruitBase: recruitbase.work

AgentFit

Interview AI agents before you hire them

Interview AI agents before you hire them