The Problem The Mem0 internship assignment was simple on the surface: build a voice-controlled local AI agent. But "voice-controlled" is where things get interesting. Mem0's core thesis is persistent memory for AI agents — agents that remember context across sessions. For that to work, the interaction layer has to be fast, natural, and frictionless. Voice is the most natural interface humans have. The challenge isn't just transcription — it's building a pipeline that classifies intent, routes to
Building a Voice AI Agent with Groq Whisper and Gemini in 4 Hours
Rohan Singh Jaglan

