What it does
Roxels enables AI agents to create and manage configurable voice agents that operate within meeting rooms, handling conversations and returning structured data from interactions. The server abstracts voice agent deployment and orchestration, managing the lifecycle of concurrent voice sessions and parsing their outputs into structured results suitable for further processing or analysis.
Who it's for
Developers building voice-driven AI systems, interview automation platforms, and meeting analysis tools. Teams implementing voice-based data collection or voice agent testing where multiple concurrent agent sessions must be coordinated and isolated by meeting context.
Common use cases
- Deploy AI voice agents to conduct automated structured interviews with real-time response analysis
- Create voice agents that participate in or monitor meeting rooms, extracting and structuring conversation insights
- Build voice-based survey or intake workflows that capture and return parsed, actionable structured data
- Run concurrent voice agent sessions isolated per meeting context for interview testing or data collection
Setup pitfalls
- README unavailable — installation is from GitHub source at
github.com/trebu-org/interviewer; configuration format and required environment variables are undocumented - Audio infrastructure setup is your responsibility; ensure meeting room routing and voice I/O are properly configured before deploying agents
- Tool count and capability scope unknown; test agent permissions and session isolation in non-production first
- No recent development signals (zero stars, unknown maintenance status) — verify stability before production deployment