Egma launches open-source voice agent CI platform
Egma is an open-source platform designed to bring continuous integration and automated testing to AI voice agents, eliminating manual redial QA. Built by brothers Nischal Jain and Naman Bhulawat, it lets teams define multi-turn Markdown test scenarios alongside code, simulate conversations across personas, grade agent behavior with cited evidence, and monitor live calls in production.
Voice agents are rapidly moving into high-stakes production environments, making manual dial-and-speak QA completely unsustainable and creating an urgent need for dedicated voice CI/CD infrastructure.
- –Automated regression testing: Defining test scenarios in Markdown alongside code bridges modern Git-driven CI/CD workflows with voice application development.
- –Multimodal evaluation challenges: Testing spoken dialog introduces distinct failure modes—including latency spikes, turn-taking, and transcription errors—that traditional text evals miss.
- –Open-source and BYOK posture: Providing an open-source codebase with support for developers' own STT, TTS, and LLM keys eliminates vendor lock-in and mitigates enterprise data privacy concerns.
- –Production-to-test feedback loop: Pairing synthetic pre-merge simulations with live call observability allows teams to seamlessly turn edge-case production failures into regression tests.
DISCOVERED
1h ago
2026-09-17
PUBLISHED
2h ago
2026-09-17
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