Features
Simulate lifelike conversations with Digital Humans
Load test at scale with concurrent virtual users
Replay production calls for debugging and regression testing
Automatically evaluate tone, accuracy, and compliance
A/B test prompts and flows
Stress-test voice and chat agents before release
CI/CD integration for automated testing
Monitor call quality and latency in real-time
Catch regressions across voice and chat workflows
Support for full-duplex speech-to-speech models
Persona-based scenario creation
Dashboard and analytics for agent performance
Multi-turn conversation testing
Edge case and boundary condition simulation
Integrations with AssemblyAI, Deepgram, Pipecat, Twilio, LiveKit, and more
Data Agent for data analysis with Python/SQL execution
Plugins Agent integrating 200+ third-party plugins
Web Agent for autonomous web browsing via Chrome extension
Auto plugin selection by the agent
Combined plugin usage for multi-step tasks
Chat-based web UI optimized for swift responses
Open-source full-stack code (backend + frontend)
Local deployment via Docker
Free online demo on OpenAgents website
Data visualization using Python libraries
Integration with 200+ plugins including Klarna, XWeather, Wolfram Alpha
Lemur foundation models for language agents (open-source)
Real-world evaluation and research support
Troubleshooting support via Discord
COLM 2024 publication with paper available
