Observed Signal · Aug 15, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Developer Builds Multilingual AI Voice Agent 'Sadie'
A developer, Ayush Shinde, built Sadie — a multilingual AI voice agent — during the "10 Days of AI Voice Agents — #VoiceForBharat Edition" challenge. Over ten days he implemented real-time voice conversations, Hindi-English code-mixing support, persistent (permissioned) memory, tool integration, outbound phone calling via SIP, human escalation via Discord webhooks, an analytics dashboard, and multi-agent specialist handoffs (grammar, maths, full-stack). The system integrates LiveKit for real-time transport, Deepgram for STT, Google Gemini as the LLM brain, and Murf Falcon for TTS, with SQLite for memory and Next.js/Chart.js for analytics. The post documents architecture, implementation details, encountered bugs (telephony SIP encryption, logging issues, import paths), and instructions to run the public repository and demo.
Technical demonstration of a production-adjacent voice agent architecture (real-time audio, STT, LLM, TTS, SIP telephony, memory, analytics, multi-agent handoffs) is practically useful to teams building conversational voice systems but is an individual project rather than major platform or policy news.
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Key Takeaways & Evidence Grounding
- Ayush Shinde built an AI voice agent named Sadie during the "10 Days of AI Voice Agents — #VoiceForBharat Edition" challenge.
- Sadie supports real-time voice, Hindi-English code-mixed conversations, permissioned persistent memory (SQLite), external tool integration, outbound phone calls, human escalation, analytics, and specialist agent handoffs.
- Core technical stack includes LiveKit (real-time audio), Deepgram (Speech-to-Text), Google Gemini (LLM), Murf Falcon (TTS), SQLite, Next.js, and Chart.js.
- Outbound calling was implemented using LiveKit SIP and Linphone; a SIP media encryption setting in Linphone initially caused call failures and was changed to resolve the issue.
- The author published a public GitHub repository and a demo video as evidence of the project (repository link provided in the article).
Connected Companies & Entities
5 Entities mapped“Deepgram handles Speech-to-Text.”
“Google Gemini acts as the brain of the agent and understands the user's request.”
“Murf Falcon converts the AI's response into natural speech.”
“After approval, the system generates a reference ID and sends the escalation information through a Discord webhook.”
“Public GitHub Repository GitHub: https://github.com/ayushshinde13/10-days-of-AI-voice-agents-voice-for-bharat-challenge-2026”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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