pipecat

Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.

Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.

Your personal voice interface for any app. Speak naturally and your words appear wherever your cursor is, with fully customizable AI voice dictation. Open source alternative to Wispr Flow.

AI Initiative Ledger — local spend meter and budget gate for AI tasks. Meters every vendor leg (LLM, speech, telephony, search, tools), hard-stops before the ceiling. MIT, no account.

Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖

Give a face to your voice AI in 5 lines of code. Generate realtime avatar video connected to your voice AI locally

和《偶像大师 闪耀色彩》偶像实时语音/文字对话的 AI 分身：日语原声 + 中文字幕、回忆原作剧情、跨角色共享记忆；支持 Google/GitHub 登录与自带密钥，Docker Compose 一键部署（参考 LAPLACE Eidolon）

A complete voice AI building block with telephony integration, featuring real-time speech-to-text, text-to-speech, and LLM-powered conversational agents.

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo, and a free course.

Addressee detection for voice agents: device-directed speech detection that runs before STT, so background speech, side conversations, and the agent's own TTS echo never trigger it. No wake word, model-agnostic, drop-in for LiveKit, Pipecat, ElevenLabs, Twilio, and OpenAI. The layer your VAD and turn detection are missing.

Self-hosted native-Rust runtime for real-time voice agents. Own the stack: one binary in your own VPC or air-gapped, no hosted control plane. pipecat-compatible pipeline, in-process SIP/RTP, single-process call density. Apache-2.0.

FreeSWITCH module that streams live call audio to AI voice agents over WebSocket and plays their voice back — full-duplex.

Fully autonomous speaking bots built using the MeetingBaas API and Pipecat.

This repository shows you how to build real-time, voice-enabled AI agents with Pipecat and Amazon Bedrock

On-device voice isolation, wake words, voice activity and voiceprints. In the browser (WebAssembly) and in Python, with plugins for LiveKit Agents and Pipecat. Apache-2.0 code and weights.

Open-source observability and session replay for Pipecat voice agents. Replay conversation audio alongside OpenTelemetry traces, logs, per-stage latency, and interruption metrics.

A personal voice assistant with a wake word, swappable LLMs (gpt 5.5, opus 4.8, etc), and configurable tools (web search, email, calendar, etc).

Voice agents in YAML, compiled to Pipecat or LiveKit. Production code you own, deployed anywhere.

Core engine behind Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations