Show HN: Jargo – a Golang port of Pipecat for conversational-AI apps
Jargo is a Golang port of Pipecat, a WebRTC-native, audio-first conversational-AI framework for Go, replicating Pipecat's architecture and design decisions for developers who prefer Golang.
Background
- **Pipecat** is a popular Python framework (by the Daily/ daily.co team) for building real-time voice AI apps — think Siri-like assistants that listen, think, and speak back with low latency. It handles audio streaming, speech-to-text, LLM inference, and text-to-speech as a pipeline.
- **Jargo** is a new, independent port of Pipecat's architecture into **Go (Golang)**, written by a developer who prefers Go's performance and concurrency model over Python's. It is WebRTC-native and audio-first, meaning it is designed for real-time browser/mobile voice calls out of the box.
- **Why this matters**: Most conversational AI tooling today is Python-heavy. A Go-native alternative appeals to developers building high-throughput, low-latency voice bots who want to avoid Python's runtime overhead — or who simply work in a Go ecosystem (e.g., backend services, infrastructure tools).