HireFlow Agents

HireFlow Agents is a cross-framework multi-agent hiring platform that demonstrates how specialized AI agents collaborate across multiple AI providers to automate recruitment workflows. Traditional hiring requires recruiters, hiring managers, interviewers, and decision-makers to constantly exchange information, leading to delays and inconsistent evaluations. HireFlow Agents transforms this process into a coordinated AI-driven workflow. The platform uses Band.ai as the collaboration layer, allowing agents to exchange context, perform handoffs, and coordinate decisions in real time. Five specialized agents work together throughout the hiring lifecycle: • Hiring Manager Agent – defines role requirements and hiring objectives. • Recruiter Agent – generates job descriptions and recruitment content. • Resume Screening Agent – evaluates candidate qualifications. • Interview Agent – conducts conversational AI interviews and gathers candidate insights. • Decision Agent – generates the final hiring recommendation. To demonstrate cross-framework interoperability, the platform integrates multiple AI providers. Band.ai powers workflow orchestration and communication. Featherless AI powers the Recruiter Agent and Interview Agent. AI/ML API powers the Hiring Manager, Resume Screening, and Decision Agents. The platform includes three key interfaces. The Agent Control Center provides visibility into agent status, workflow execution, and provider usage. The Command Center visualizes agent collaboration and hiring metrics. The AI Interview Room enables conversational candidate interviews with live agent participation. Built with Next.js, FastAPI, PostgreSQL, and Prisma, HireFlow Agents demonstrates how collaborative AI systems can automate recruitment workflows while remaining transparent, scalable, and extensible. A live demo is available, and test login credentials are provided in the GitHub README for judges.