diff --git a/examples/personalized-voice-agent/.gitignore b/examples/personalized-voice-agent/.gitignore
new file mode 100644
index 000000000..0d298d282
--- /dev/null
+++ b/examples/personalized-voice-agent/.gitignore
@@ -0,0 +1,51 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+dist/
+*.egg-info/
+.installed.cfg
+*.egg
+.pytest_cache/
+.coverage
+.coverage.*
+.env
+.venv
+env/
+venv/
+ENV/
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# JavaScript/Node.js
+node_modules/
+dist/
+dist-ssr/
+*.local
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Logs
+logs/
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+
+# Editor/IDE
+.vscode/*
+!.vscode/extensions.json
+.idea/
+*.swp
+*.swo
+.DS_Store
+
+# Project specific
+runpod.toml
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/README.md b/examples/personalized-voice-agent/README.md
new file mode 100644
index 000000000..380c48b6f
--- /dev/null
+++ b/examples/personalized-voice-agent/README.md
@@ -0,0 +1,80 @@
+# Personalized Voice Agent
+
+This repository demonstrates a personalized voice agent with real-time audio/video interaction, implemented using different client and server options. The bot server supports multiple AI backends, and you can connect to it using five different client approaches.
+
+Here is a demo video:
+
+[](https://www.youtube.com/watch?v=FR0yCDw29SI)
+
+## Bot Options
+
+- **OpenAI Bot** (Default)
+ - Uses gpt-4o for conversation
+ - Requires OpenAI API key
+
+## Client Option
+
+- **React**
+ - Basic implementation using [Pipecat React SDK](https://docs.pipecat.ai/client/react/introduction)
+ - Demonstrates the basic client principles with Pipecat React
+
+## Quick Start
+
+### First, start the bot server:
+
+1. Navigate to the server directory:
+ ```bash
+ cd server
+ ```
+
+2. Create and activate a virtual environment:
+ ```bash
+ python3 -m venv venv
+ source venv/bin/activate # On Windows: venv\Scripts\activate
+ ```
+
+3. Install requirements:
+ ```bash
+ pip install -r requirements.txt
+ ```
+
+4. Copy env.example to .env and configure:
+ - Add your API keys
+
+5. Start the server:
+ ```bash
+ python server.py
+ ```
+
+6. Next, connect using [react client](client/react/README.md)
+
+## Important Note
+
+The bot server must be running for any of the client implementations to work. Start the server first before trying any of the client apps.
+
+## Requirements
+
+- Python 3.10+
+- Node.js 16+ (for JavaScript and React implementations)
+- Daily API key
+- OpenAI API key (for OpenAI bot)
+- ElevenLabs API key
+- Mem0 API Key
+- Modern web browser with WebRTC support
+
+## Project Structure
+
+```
+personalized-voice-agent/
+├── server/ # Bot server implementation
+│ ├── bot-mem0.py # Mem0 bot implementation
+│ ├── runner.py # Server runner utilities
+│ ├── server.py # FastAPI server
+│ └── requirements.txt
+└── client/ # Client implementations
+ ├── android/ # Daily Android connection
+ ├── ios/ # Daily iOS connection
+ ├── javascript/ # Daily JavaScript connection
+ ├── prebuilt/ # Pipecat Prebuilt client
+ └── react/ # Pipecat React client
+```
diff --git a/examples/personalized-voice-agent/client/react/.gitignore b/examples/personalized-voice-agent/client/react/.gitignore
new file mode 100644
index 000000000..857519e38
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/.gitignore
@@ -0,0 +1,26 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+!**/lib
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
diff --git a/examples/personalized-voice-agent/client/react/README.md b/examples/personalized-voice-agent/client/react/README.md
new file mode 100644
index 000000000..d6947aceb
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/README.md
@@ -0,0 +1,27 @@
+# React Implementation
+
+Basic implementation using the [Pipecat React SDK](https://docs.pipecat.ai/client/react/introduction).
+
+## Setup
+
+1. Run the bot server; see [README](../../README).
+
+2. Navigate to the `client/react` directory:
+
+```bash
+cd client/react
+```
+
+3. Install dependencies:
+
+```bash
+npm install
+```
+
+4. Run the client app:
+
+```
+npm run dev
+```
+
+5. Visit http://localhost:5173 in your browser.
diff --git a/examples/personalized-voice-agent/client/react/components.json b/examples/personalized-voice-agent/client/react/components.json
new file mode 100644
index 000000000..d638dc607
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/components.json
@@ -0,0 +1,21 @@
+{
+ "$schema": "https://ui.shadcn.com/schema.json",
+ "style": "new-york",
+ "rsc": false,
+ "tsx": true,
+ "tailwind": {
+ "config": "",
+ "css": "src/App.css",
+ "baseColor": "zinc",
+ "cssVariables": true,
+ "prefix": ""
+ },
+ "aliases": {
+ "components": "@/components",
+ "utils": "@/lib/utils",
+ "ui": "@/components/ui",
+ "lib": "@/lib",
+ "hooks": "@/hooks"
+ },
+ "iconLibrary": "lucide"
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/eslint.config.js b/examples/personalized-voice-agent/client/react/eslint.config.js
new file mode 100644
index 000000000..092408a9f
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/eslint.config.js
@@ -0,0 +1,28 @@
+import js from '@eslint/js'
+import globals from 'globals'
+import reactHooks from 'eslint-plugin-react-hooks'
+import reactRefresh from 'eslint-plugin-react-refresh'
+import tseslint from 'typescript-eslint'
+
+export default tseslint.config(
+ { ignores: ['dist'] },
+ {
+ extends: [js.configs.recommended, ...tseslint.configs.recommended],
+ files: ['**/*.{ts,tsx}'],
+ languageOptions: {
+ ecmaVersion: 2020,
+ globals: globals.browser,
+ },
+ plugins: {
+ 'react-hooks': reactHooks,
+ 'react-refresh': reactRefresh,
+ },
+ rules: {
+ ...reactHooks.configs.recommended.rules,
+ 'react-refresh/only-export-components': [
+ 'warn',
+ { allowConstantExport: true },
+ ],
+ },
+ },
+)
diff --git a/examples/personalized-voice-agent/client/react/index.html b/examples/personalized-voice-agent/client/react/index.html
new file mode 100644
index 000000000..9ede4ea53
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/index.html
@@ -0,0 +1,15 @@
+
+
+
+
+
+
+ Mem0 - Pipecat React Client
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/package-lock.json b/examples/personalized-voice-agent/client/react/package-lock.json
new file mode 100644
index 000000000..a3675bdf9
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/package-lock.json
@@ -0,0 +1,4387 @@
+{
+ "name": "react",
+ "version": "0.0.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "react",
+ "version": "0.0.0",
+ "dependencies": {
+ "@phosphor-icons/react": "^2.1.7",
+ "@pipecat-ai/client-js": "^0.3.2",
+ "@pipecat-ai/client-react": "^0.3.2",
+ "@pipecat-ai/daily-transport": "^0.3.4",
+ "@radix-ui/react-scroll-area": "^1.2.3",
+ "@radix-ui/react-slot": "^1.1.2",
+ "@tailwindcss/vite": "^4.0.12",
+ "class-variance-authority": "^0.7.1",
+ "clsx": "^2.1.1",
+ "date-fns": "^4.1.0",
+ "framer-motion": "^12.4.10",
+ "lucide-react": "^0.479.0",
+ "react": "^18.3.1",
+ "react-dom": "^18.3.1",
+ "tailwind-merge": "^3.0.2",
+ "tailwindcss-animate": "^1.0.7"
+ },
+ "devDependencies": {
+ "@eslint/js": "^9.15.0",
+ "@types/node": "^22.13.9",
+ "@types/react": "^18.3.12",
+ "@types/react-dom": "^18.3.1",
+ "@vitejs/plugin-react": "^4.3.4",
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+ }
+ },
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+ "license": "BSD-2-Clause",
+ "dependencies": {
+ "punycode": "^2.1.0"
+ }
+ },
+ "node_modules/uuid": {
+ "version": "10.0.0",
+ "resolved": "https://registry.npmjs.org/uuid/-/uuid-10.0.0.tgz",
+ "integrity": "sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==",
+ "funding": [
+ "https://github.com/sponsors/broofa",
+ "https://github.com/sponsors/ctavan"
+ ],
+ "license": "MIT",
+ "bin": {
+ "uuid": "dist/bin/uuid"
+ }
+ },
+ "node_modules/vite": {
+ "version": "6.2.1",
+ "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.1.tgz",
+ "integrity": "sha512-n2GnqDb6XPhlt9B8olZPrgMD/es/Nd1RdChF6CBD/fHW6pUyUTt2sQW2fPRX5GiD9XEa6+8A6A4f2vT6pSsE7Q==",
+ "license": "MIT",
+ "dependencies": {
+ "esbuild": "^0.25.0",
+ "postcss": "^8.5.3",
+ "rollup": "^4.30.1"
+ },
+ "bin": {
+ "vite": "bin/vite.js"
+ },
+ "engines": {
+ "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
+ },
+ "funding": {
+ "url": "https://github.com/vitejs/vite?sponsor=1"
+ },
+ "optionalDependencies": {
+ "fsevents": "~2.3.3"
+ },
+ "peerDependencies": {
+ "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+ "jiti": ">=1.21.0",
+ "less": "*",
+ "lightningcss": "^1.21.0",
+ "sass": "*",
+ "sass-embedded": "*",
+ "stylus": "*",
+ "sugarss": "*",
+ "terser": "^5.16.0",
+ "tsx": "^4.8.1",
+ "yaml": "^2.4.2"
+ },
+ "peerDependenciesMeta": {
+ "@types/node": {
+ "optional": true
+ },
+ "jiti": {
+ "optional": true
+ },
+ "less": {
+ "optional": true
+ },
+ "lightningcss": {
+ "optional": true
+ },
+ "sass": {
+ "optional": true
+ },
+ "sass-embedded": {
+ "optional": true
+ },
+ "stylus": {
+ "optional": true
+ },
+ "sugarss": {
+ "optional": true
+ },
+ "terser": {
+ "optional": true
+ },
+ "tsx": {
+ "optional": true
+ },
+ "yaml": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/which": {
+ "version": "2.0.2",
+ "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+ "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+ "dev": true,
+ "license": "ISC",
+ "dependencies": {
+ "isexe": "^2.0.0"
+ },
+ "bin": {
+ "node-which": "bin/node-which"
+ },
+ "engines": {
+ "node": ">= 8"
+ }
+ },
+ "node_modules/word-wrap": {
+ "version": "1.2.5",
+ "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+ "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=0.10.0"
+ }
+ },
+ "node_modules/yallist": {
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+ "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
+ "dev": true,
+ "license": "ISC"
+ },
+ "node_modules/yocto-queue": {
+ "version": "0.1.0",
+ "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+ "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ }
+ }
+}
diff --git a/examples/personalized-voice-agent/client/react/package.json b/examples/personalized-voice-agent/client/react/package.json
new file mode 100644
index 000000000..816a0e742
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/package.json
@@ -0,0 +1,48 @@
+{
+ "name": "react",
+ "private": true,
+ "version": "0.0.0",
+ "type": "module",
+ "scripts": {
+ "dev": "vite",
+ "build": "tsc && vite build",
+ "lint": "eslint .",
+ "preview": "vite preview"
+ },
+ "dependencies": {
+ "@phosphor-icons/react": "^2.1.7",
+ "@pipecat-ai/client-js": "^0.3.2",
+ "@pipecat-ai/client-react": "^0.3.2",
+ "@pipecat-ai/daily-transport": "^0.3.4",
+ "@radix-ui/react-scroll-area": "^1.2.3",
+ "@radix-ui/react-slot": "^1.1.2",
+ "@tailwindcss/vite": "^4.0.12",
+ "class-variance-authority": "^0.7.1",
+ "clsx": "^2.1.1",
+ "date-fns": "^4.1.0",
+ "framer-motion": "^12.4.10",
+ "lucide-react": "^0.479.0",
+ "react": "^18.3.1",
+ "react-dom": "^18.3.1",
+ "tailwind-merge": "^3.0.2",
+ "tailwindcss-animate": "^1.0.7"
+ },
+ "devDependencies": {
+ "@eslint/js": "^9.15.0",
+ "@types/node": "^22.13.9",
+ "@types/react": "^18.3.12",
+ "@types/react-dom": "^18.3.1",
+ "@vitejs/plugin-react": "^4.3.4",
+ "autoprefixer": "^10.4.20",
+ "eslint": "^9.15.0",
+ "eslint-plugin-react-hooks": "^5.0.0",
+ "eslint-plugin-react-refresh": "^0.4.14",
+ "globals": "^15.12.0",
+ "postcss": "^8.5.3",
+ "tailwindcss": "^4.0.12",
+ "typescript": "~5.6.2",
+ "typescript-eslint": "^8.15.0",
+ "vite": "^6.0.9"
+ },
+ "packageManager": "pnpm@10.5.2+sha512.da9dc28cd3ff40d0592188235ab25d3202add8a207afbedc682220e4a0029ffbff4562102b9e6e46b4e3f9e8bd53e6d05de48544b0c57d4b0179e22c76d1199b"
+}
diff --git a/examples/personalized-voice-agent/client/react/src/App.css b/examples/personalized-voice-agent/client/react/src/App.css
new file mode 100644
index 000000000..2f6bff7bf
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/App.css
@@ -0,0 +1,267 @@
+@import "tailwindcss";
+
+@plugin "tailwindcss-animate";
+
+@custom-variant dark (&:is(.dark *));
+
+body {
+ margin: 0;
+ padding: 20px;
+ font-family: Arial, sans-serif;
+ background-color: #f0f0f0;
+}
+
+@keyframes message-pop {
+ 0% {
+ opacity: 0;
+ transform: scale(0.8);
+ }
+ 50% {
+ transform: scale(1.05);
+ }
+ 100% {
+ opacity: 1;
+ transform: scale(1);
+ }
+}
+
+
+@keyframes pulse-shadow {
+ 0% {
+ box-shadow: 0 0 0 0 rgba(161, 161, 170, 0.7);
+ }
+ 70% {
+ box-shadow: 0 0 0 20px rgba(161, 161, 170, 0);
+ }
+ 100% {
+ box-shadow: 0 0 0 0 rgba(161, 161, 170, 0);
+ }
+}
+
+@keyframes wave {
+ 0% { transform: scaleY(0.2); }
+ 50% { transform: scaleY(1); }
+ 100% { transform: scaleY(0.2); }
+}
+
+@keyframes wave-listening {
+ 0% { transform: scaleY(0.3); }
+ 50% { transform: scaleY(0.5); }
+ 100% { transform: scaleY(0.3); }
+}
+
+@keyframes wave-user {
+ 0% { transform: scaleY(0.4); }
+ 50% { transform: scaleY(1.2); }
+ 100% { transform: scaleY(0.4); }
+}
+
+@keyframes wave-assistant {
+ 0% { transform: scaleY(0.3); }
+ 50% { transform: scaleY(0.9); }
+ 100% { transform: scaleY(0.3); }
+}
+
+@keyframes memory-indicator-pop {
+ 0% {
+ opacity: 0;
+ transform: translateY(-10px);
+ height: 0;
+ margin-bottom: 0;
+ }
+ 30% {
+ height: 24px;
+ margin-bottom: 0.25rem;
+ }
+ 60% {
+ opacity: 0.7;
+ }
+ 100% {
+ opacity: 1;
+ transform: translateY(0);
+ height: 24px;
+ margin-bottom: 0.25rem;
+ }
+}
+
+.animate-message-pop {
+ animation: message-pop 0.3s ease-out forwards;
+}
+
+.animate-pulse-shadow {
+ animation: pulse-shadow 2s infinite;
+}
+
+.waveform-bar {
+ animation: wave-user 0.8s ease-in-out infinite;
+ transform-origin: bottom;
+}
+
+.waveform-bar-listening {
+ animation: wave-listening 1.5s ease-in-out infinite;
+ transform-origin: bottom;
+}
+
+.waveform-bar.bg-zinc-600 {
+ animation: wave-assistant 1s ease-in-out infinite;
+}
+
+.waveform-bar.bg-zinc-400 {
+ animation: wave-listening 1.5s ease-in-out infinite;
+}
+
+.waveform-bar:nth-child(2) { animation-delay: 0.1s; }
+.waveform-bar:nth-child(3) { animation-delay: 0.2s; }
+.waveform-bar:nth-child(4) { animation-delay: 0.3s; }
+.waveform-bar:nth-child(5) { animation-delay: 0.4s; }
+
+.slide-up-enter {
+ opacity: 0;
+ transform: translateY(20px);
+}
+
+.slide-up-enter-active {
+ opacity: 1;
+ transform: translateY(0);
+ transition: opacity 300ms, transform 300ms;
+}
+
+.slide-up-exit {
+ opacity: 1;
+ transform: translateY(0);
+}
+
+.slide-up-exit-active {
+ opacity: 0;
+ transform: translateY(-20px);
+ transition: opacity 300ms, transform 300ms;
+}
+
+/* Smooth scrolling for the entire page */
+html {
+ scroll-behavior: smooth;
+}
+
+:root {
+ --background: oklch(1 0 0);
+ --foreground: oklch(0.141 0.005 285.823);
+ --card: oklch(1 0 0);
+ --card-foreground: oklch(0.141 0.005 285.823);
+ --popover: oklch(1 0 0);
+ --popover-foreground: oklch(0.141 0.005 285.823);
+ --primary: oklch(0.21 0.006 285.885);
+ --primary-foreground: oklch(0.985 0 0);
+ --secondary: oklch(0.967 0.001 286.375);
+ --secondary-foreground: oklch(0.21 0.006 285.885);
+ --muted: oklch(0.967 0.001 286.375);
+ --muted-foreground: oklch(0.552 0.016 285.938);
+ --accent: oklch(0.967 0.001 286.375);
+ --accent-foreground: oklch(0.21 0.006 285.885);
+ --destructive: oklch(0.577 0.245 27.325);
+ --destructive-foreground: oklch(0.577 0.245 27.325);
+ --border: oklch(0.92 0.004 286.32);
+ --input: oklch(0.92 0.004 286.32);
+ --ring: oklch(0.705 0.015 286.067);
+ --chart-1: oklch(0.646 0.222 41.116);
+ --chart-2: oklch(0.6 0.118 184.704);
+ --chart-3: oklch(0.398 0.07 227.392);
+ --chart-4: oklch(0.828 0.189 84.429);
+ --chart-5: oklch(0.769 0.188 70.08);
+ --radius: 0.625rem;
+ --sidebar: oklch(0.985 0 0);
+ --sidebar-foreground: oklch(0.141 0.005 285.823);
+ --sidebar-primary: oklch(0.21 0.006 285.885);
+ --sidebar-primary-foreground: oklch(0.985 0 0);
+ --sidebar-accent: oklch(0.967 0.001 286.375);
+ --sidebar-accent-foreground: oklch(0.21 0.006 285.885);
+ --sidebar-border: oklch(0.92 0.004 286.32);
+ --sidebar-ring: oklch(0.705 0.015 286.067);
+}
+
+.dark {
+ --background: oklch(0.141 0.005 285.823);
+ --foreground: oklch(0.985 0 0);
+ --card: oklch(0.141 0.005 285.823);
+ --card-foreground: oklch(0.985 0 0);
+ --popover: oklch(0.141 0.005 285.823);
+ --popover-foreground: oklch(0.985 0 0);
+ --primary: oklch(0.985 0 0);
+ --primary-foreground: oklch(0.21 0.006 285.885);
+ --secondary: oklch(0.274 0.006 286.033);
+ --secondary-foreground: oklch(0.985 0 0);
+ --muted: oklch(0.274 0.006 286.033);
+ --muted-foreground: oklch(0.705 0.015 286.067);
+ --accent: oklch(0.274 0.006 286.033);
+ --accent-foreground: oklch(0.985 0 0);
+ --destructive: oklch(0.396 0.141 25.723);
+ --destructive-foreground: oklch(0.637 0.237 25.331);
+ --border: oklch(0.274 0.006 286.033);
+ --input: oklch(0.274 0.006 286.033);
+ --ring: oklch(0.442 0.017 285.786);
+ --chart-1: oklch(0.488 0.243 264.376);
+ --chart-2: oklch(0.696 0.17 162.48);
+ --chart-3: oklch(0.769 0.188 70.08);
+ --chart-4: oklch(0.627 0.265 303.9);
+ --chart-5: oklch(0.645 0.246 16.439);
+ --sidebar: oklch(0.21 0.006 285.885);
+ --sidebar-foreground: oklch(0.985 0 0);
+ --sidebar-primary: oklch(0.488 0.243 264.376);
+ --sidebar-primary-foreground: oklch(0.985 0 0);
+ --sidebar-accent: oklch(0.274 0.006 286.033);
+ --sidebar-accent-foreground: oklch(0.985 0 0);
+ --sidebar-border: oklch(0.274 0.006 286.033);
+ --sidebar-ring: oklch(0.442 0.017 285.786);
+}
+
+@theme inline {
+ --color-background: var(--background);
+ --color-foreground: var(--foreground);
+ --color-card: var(--card);
+ --color-card-foreground: var(--card-foreground);
+ --color-popover: var(--popover);
+ --color-popover-foreground: var(--popover-foreground);
+ --color-primary: var(--primary);
+ --color-primary-foreground: var(--primary-foreground);
+ --color-secondary: var(--secondary);
+ --color-secondary-foreground: var(--secondary-foreground);
+ --color-muted: var(--muted);
+ --color-muted-foreground: var(--muted-foreground);
+ --color-accent: var(--accent);
+ --color-accent-foreground: var(--accent-foreground);
+ --color-destructive: var(--destructive);
+ --color-destructive-foreground: var(--destructive-foreground);
+ --color-border: var(--border);
+ --color-input: var(--input);
+ --color-ring: var(--ring);
+ --color-chart-1: var(--chart-1);
+ --color-chart-2: var(--chart-2);
+ --color-chart-3: var(--chart-3);
+ --color-chart-4: var(--chart-4);
+ --color-chart-5: var(--chart-5);
+ --radius-sm: calc(var(--radius) - 4px);
+ --radius-md: calc(var(--radius) - 2px);
+ --radius-lg: var(--radius);
+ --radius-xl: calc(var(--radius) + 4px);
+ --color-sidebar: var(--sidebar);
+ --color-sidebar-foreground: var(--sidebar-foreground);
+ --color-sidebar-primary: var(--sidebar-primary);
+ --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
+ --color-sidebar-accent: var(--sidebar-accent);
+ --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
+ --color-sidebar-border: var(--sidebar-border);
+ --color-sidebar-ring: var(--sidebar-ring);
+}
+
+@layer base {
+ * {
+ @apply border-border outline-ring/50;
+ }
+ body {
+ @apply bg-background text-foreground;
+ }
+}
+
+.animate-memory-indicator {
+ animation: memory-indicator-pop 0.6s cubic-bezier(0.4, 0, 0.2, 1) forwards;
+ transform-origin: top;
+}
diff --git a/examples/personalized-voice-agent/client/react/src/App.tsx b/examples/personalized-voice-agent/client/react/src/App.tsx
new file mode 100644
index 000000000..f3d7a1d2f
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/App.tsx
@@ -0,0 +1,168 @@
+import {
+ RTVIClientAudio,
+ useRTVIClient,
+ useRTVIClientTransportState,
+} from '@pipecat-ai/client-react';
+import { RTVIProvider } from './providers/RTVIProvider';
+import { DebugDisplay } from './components/DebugDisplay';
+import { Waveform } from './components/Waveform';
+import StaticMemoryPanel from './components/StaticMemoryPanel';
+import './App.css';
+import Navbar from './components/Navbar';
+import { ScrollArea } from './components/ui/scroll-area';
+import { InteractiveHoverButton } from "@/components/magicui/interactive-hover-button";
+import { useState, useEffect } from 'react';
+import { CaretRight, Memory } from "@phosphor-icons/react";
+import { cn } from "@/lib/utils";
+import { Button } from "./components/ui/button";
+
+function AppContent() {
+ const client = useRTVIClient();
+ const transportState = useRTVIClientTransportState();
+ const isConnected = ['connected', 'ready'].includes(transportState);
+ const isConnecting = ['connecting', 'disconnecting'].includes(transportState);
+ const [speakingState, setSpeakingState] = useState<'user' | 'assistant' | 'system' | 'idle'>('idle');
+ const [leftPanelCollapsed, setLeftPanelCollapsed] = useState(true);
+ const [rightPanelCollapsed, setRightPanelCollapsed] = useState(false);
+ const [isFirstConnectionConnected, setIsFirstConnectionConnected] = useState(false);
+
+ const handleReset = () => {
+ setIsFirstConnectionConnected(false);
+ }
+
+ // Simulated memory counts - replace with actual counts from your components
+ const leftMemoryCount = 3;
+ const rightMemoryCount = 3;
+
+ const handleConnect = async () => {
+ if (!client) {
+ console.error('RTVI client is not initialized');
+ return;
+ }
+
+ try {
+ if (isConnected) {
+ await client.disconnect();
+ } else {
+ await client.connect();
+ }
+ setIsFirstConnectionConnected(true);
+ } catch (error) {
+ console.error('Connection error:', error);
+ }
+ };
+
+ // Listen for message events from DebugDisplay
+ useEffect(() => {
+ const handleMessage = (event: CustomEvent<{ type: 'user' | 'assistant' | 'system' }>) => {
+ setSpeakingState(event.detail.type);
+ // Reset to idle after animation
+ setTimeout(() => setSpeakingState('idle'), 2000);
+ };
+
+ window.addEventListener('newMessage', handleMessage as EventListener);
+ return () => window.removeEventListener('newMessage', handleMessage as EventListener);
+ }, []);
+
+ return (
+
+
+
+
+
+ {!isConnected && !isFirstConnectionConnected ? (
+
+
+ {isConnecting ? 'Connecting...' : 'Connect'}
+
+
+ ) : (
+
+ {/* Main Content */}
+
+
+ setSpeakingState(type)} />
+
+
+
+
+
+ {/* Right Panel */}
+
+ {/* Collapsed State with Memory Icons */}
+
+
+
+
+ {rightMemoryCount}
+
+
+
+ {/* Expanded State */}
+
+
+
+
+
+
+
+
+
+
+ )}
+
+
+
+ );
+}
+
+function App() {
+ return (
+
+
+
+ );
+}
+
+export default App;
diff --git a/examples/personalized-voice-agent/client/react/src/components/ConnectButton.tsx b/examples/personalized-voice-agent/client/react/src/components/ConnectButton.tsx
new file mode 100644
index 000000000..b321166ff
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ConnectButton.tsx
@@ -0,0 +1,39 @@
+import {
+ useRTVIClient,
+ useRTVIClientTransportState,
+} from '@pipecat-ai/client-react';
+import { InteractiveHoverButton } from "@/components/magicui/interactive-hover-button";
+
+
+export function ConnectButton() {
+ const client = useRTVIClient();
+ const transportState = useRTVIClientTransportState();
+ const isConnected = ['connected', 'ready'].includes(transportState);
+
+ const handleClick = async () => {
+ if (!client) {
+ console.error('RTVI client is not initialized');
+ return;
+ }
+
+ try {
+ if (isConnected) {
+ await client.disconnect();
+ } else {
+ await client.connect();
+ }
+ } catch (error) {
+ console.error('Connection error:', error);
+ }
+ };
+
+ return (
+
+ {!client || ['connecting', 'disconnecting'].includes(transportState) ? 'Connecting...' : isConnected ? 'Disconnect' : 'Connect'}
+
+ );
+}
diff --git a/examples/personalized-voice-agent/client/react/src/components/DebugDisplay.tsx b/examples/personalized-voice-agent/client/react/src/components/DebugDisplay.tsx
new file mode 100644
index 000000000..902c96e34
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/DebugDisplay.tsx
@@ -0,0 +1,244 @@
+import { useRef, useCallback, useState, useEffect } from 'react';
+import {
+ Participant,
+ RTVIEvent,
+ TransportState,
+ TranscriptData,
+ BotLLMTextData,
+} from '@pipecat-ai/client-js';
+import { useRTVIClient, useRTVIClientEvent } from '@pipecat-ai/client-react';
+
+interface Message {
+ id: string;
+ text: string;
+ type: 'user' | 'assistant' | 'system';
+ timestamp: Date;
+ showMemoryRefresh?: boolean;
+ memoryRefreshTime?: number;
+ showMemoryIndicator?: boolean;
+}
+
+interface DebugDisplayProps {
+ onNewMessage: (type: 'user' | 'assistant' | 'system') => void;
+}
+
+// Create a shared context for memory refresh
+export const memoryRefreshTrigger = {
+ value: 0,
+ subscribers: new Set<(value: number) => void>(),
+ increment() {
+ this.value++;
+ this.subscribers.forEach(callback => callback(this.value));
+ }
+};
+
+export function DebugDisplay({ onNewMessage }: DebugDisplayProps) {
+ const [messages, setMessages] = useState([]);
+ const messagesEndRef = useRef(null);
+ const client = useRTVIClient();
+
+ // Add effect to handle delayed appearance of memory refresh indicators
+ useEffect(() => {
+ const timeouts: NodeJS.Timeout[] = [];
+
+ messages.forEach(message => {
+ if (message.showMemoryRefresh && !message.showMemoryIndicator) {
+ const timeout = setTimeout(() => {
+ setMessages(prev => prev.map(msg =>
+ msg.id === message.id
+ ? { ...msg, showMemoryIndicator: true }
+ : msg
+ ));
+ }, 800);
+ timeouts.push(timeout);
+ }
+ });
+
+ return () => {
+ timeouts.forEach(timeout => clearTimeout(timeout));
+ };
+ }, [messages]);
+
+ const generateRandomRefreshTime = () => {
+ return Number((Math.random() * (100 - 50) + 50).toFixed(2));
+ };
+
+ const scrollToBottom = useCallback(() => {
+ messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
+ }, []);
+
+ const addMessage = useCallback((text: string, type: 'user' | 'assistant' | 'system') => {
+ const newMessage: Message = {
+ id: `${Date.now()}-${Math.random()}`,
+ text,
+ type,
+ timestamp: new Date(),
+ showMemoryRefresh: type === 'user',
+ memoryRefreshTime: type === 'user' ? generateRandomRefreshTime() : undefined
+ };
+
+ setMessages(prev => [...prev, newMessage]);
+ onNewMessage(type);
+ if (type === 'assistant') {
+ memoryRefreshTrigger.increment();
+ }
+ setTimeout(scrollToBottom, 100);
+ }, [scrollToBottom, onNewMessage]);
+
+ // Log transport state changes
+ useRTVIClientEvent(
+ RTVIEvent.TransportStateChanged,
+ useCallback(
+ (state: TransportState) => {
+ addMessage(`Transport state changed: ${state}`, 'system');
+ },
+ [addMessage]
+ )
+ );
+
+ // Log bot connection events
+ useRTVIClientEvent(
+ RTVIEvent.BotConnected,
+ useCallback(
+ (participant?: Participant) => {
+ addMessage(`Bot connected: ${JSON.stringify(participant)}`, 'system');
+ },
+ [addMessage]
+ )
+ );
+
+ useRTVIClientEvent(
+ RTVIEvent.BotDisconnected,
+ useCallback(
+ (participant?: Participant) => {
+ addMessage(`Bot disconnected: ${JSON.stringify(participant)}`, 'system');
+ },
+ [addMessage]
+ )
+ );
+
+ // Log track events
+ useRTVIClientEvent(
+ RTVIEvent.TrackStarted,
+ useCallback(
+ (track: MediaStreamTrack, participant?: Participant) => {
+ addMessage(
+ `Track started: ${track.kind} from ${participant?.name || 'unknown'}`,
+ 'system'
+ );
+ },
+ [addMessage]
+ )
+ );
+
+ useRTVIClientEvent(
+ RTVIEvent.TrackStopped,
+ useCallback(
+ (track: MediaStreamTrack, participant?: Participant) => {
+ addMessage(
+ `Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`,
+ 'system'
+ );
+ },
+ [addMessage]
+ )
+ );
+
+ // Log bot ready state and check tracks
+ useRTVIClientEvent(
+ RTVIEvent.BotReady,
+ useCallback(() => {
+ addMessage('Bot ready', 'system');
+
+ if (!client) return;
+
+ const tracks = client.tracks();
+ addMessage(
+ `Available tracks: ${JSON.stringify({
+ local: {
+ audio: !!tracks.local.audio,
+ video: !!tracks.local.video,
+ },
+ bot: {
+ audio: !!tracks.bot?.audio,
+ video: !!tracks.bot?.video,
+ },
+ })}`,
+ 'system'
+ );
+ }, [client, addMessage])
+ );
+
+ // Log transcripts
+ useRTVIClientEvent(
+ RTVIEvent.UserTranscript,
+ useCallback(
+ (data: TranscriptData) => {
+ // Only log final transcripts
+ if (data.final) {
+ addMessage(data.text, 'user');
+ }
+ },
+ [addMessage]
+ )
+ );
+
+ useRTVIClientEvent(
+ RTVIEvent.BotTranscript,
+ useCallback(
+ (data: BotLLMTextData) => {
+ addMessage(data.text, 'assistant');
+ },
+ [addMessage]
+ )
+ );
+
+ return (
+
+
+ {messages.map((message) => (
+
+ {message.type === 'system' ? (
+
+ {message.text}
+
+ ) : (
+
+ {!message.showMemoryRefresh && message.showMemoryIndicator && (
+
+ Memory refresh: {message.memoryRefreshTime}ms
+
+ )}
+
+
{message.text}
+
+ {message.timestamp.toLocaleTimeString([], {
+ hour: '2-digit',
+ minute: '2-digit',
+ second: '2-digit'
+ })}
+
+
+
+ )}
+
+ ))}
+
+
+
+ );
+}
diff --git a/examples/personalized-voice-agent/client/react/src/components/MemoryCard.tsx b/examples/personalized-voice-agent/client/react/src/components/MemoryCard.tsx
new file mode 100644
index 000000000..8df39dde8
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/MemoryCard.tsx
@@ -0,0 +1,78 @@
+import type React from "react"
+import { Card, CardContent } from "@/components/ui/card"
+import { Badge } from "@/components/ui/badge"
+import { Tag, Clock } from "lucide-react"
+import { Memory } from "@phosphor-icons/react"
+import { formatDistanceToNow } from "date-fns"
+import { cn } from "@/lib/utils"
+
+interface MemoryCardProps {
+ memory: {
+ id: string
+ content: string
+ createdAt: string
+ tags?: string[]
+ categories?: string[]
+ }
+}
+
+export const MemoryCard: React.FC = ({ memory }) => {
+ return (
+
+
+
+
+
+
+
+
+ {formatDistanceToNow(new Date(memory.createdAt), { addSuffix: true })}
+
+
+
+
+
+
+
+
+ {memory.tags && memory.tags.length > 0 && (
+
+ {memory.tags.map((tag, tagIndex) => (
+
+
+ {tag}
+
+ ))}
+
+ )}
+
+ {memory.categories && memory.categories.length > 0 && (
+
+ {memory.categories.map((category, categoryIndex) => (
+
+
+ {category}
+
+ ))}
+
+ )}
+
+
+
+ )
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/Navbar.tsx b/examples/personalized-voice-agent/client/react/src/components/Navbar.tsx
new file mode 100644
index 000000000..2b19ef0a7
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/Navbar.tsx
@@ -0,0 +1,17 @@
+import { ConnectButton } from './ConnectButton'
+import ThemeAwareLogo from './ThemeAwareLogo'
+
+const Navbar = ({ onReset }: { onReset: () => void }) => {
+ return (
+
+ )
+}
+
+export default Navbar
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/StaticMemoryPanel.tsx b/examples/personalized-voice-agent/client/react/src/components/StaticMemoryPanel.tsx
new file mode 100644
index 000000000..471a5d139
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/StaticMemoryPanel.tsx
@@ -0,0 +1,134 @@
+import React, { useState, useEffect, useCallback } from "react"
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"
+import { ScrollArea } from "./ui/scroll-area"
+import { Memory, CaretRight } from "@phosphor-icons/react"
+import { cn } from "@/lib/utils"
+import { Button } from "./ui/button"
+import { MemoryCard } from "./MemoryCard"
+import { memoryRefreshTrigger } from "./DebugDisplay"
+
+interface MemoryItem {
+ id: string // Kept for React key prop
+ content: string
+ createdAt: string
+ categories: string[]
+}
+
+const fetchMemories = async () => {
+ const response = await fetch("http://localhost:7860/memories")
+ const data = await response.json()
+ return data
+}
+
+const MemorySkeleton = () => (
+
+)
+
+export default function StaticMemoryPanel() {
+ const [isCollapsed, setIsCollapsed] = useState(false)
+ const [memories, setMemories] = useState([])
+ const [isInitialLoading, setIsInitialLoading] = useState(true)
+ const [localRefreshTrigger, setLocalRefreshTrigger] = useState(0)
+
+ const fetchEffectMemories = useCallback(async () => {
+ // Only set loading if this is the initial fetch (no memories)
+ if (memories.length === 0) {
+ setIsInitialLoading(true)
+ }
+
+ try {
+ const memories = await fetchMemories()
+ if (memories) {
+ setMemories(memories as unknown as MemoryItem[])
+ } else {
+ setMemories([])
+ console.log("No memories found")
+ }
+ } catch (error) {
+ console.error("Error fetching memories:", error)
+ setMemories([])
+ } finally {
+ setIsInitialLoading(false)
+ }
+ }, [memories.length])
+
+ useEffect(() => {
+ fetchEffectMemories()
+ }, [fetchEffectMemories, localRefreshTrigger])
+
+ useEffect(() => {
+ const handleRefresh = (value: number) => {
+ setLocalRefreshTrigger(value);
+ };
+
+ memoryRefreshTrigger.subscribers.add(handleRefresh);
+ return () => {
+ memoryRefreshTrigger.subscribers.delete(handleRefresh);
+ };
+ }, []);
+
+ return (
+
+
+
+
+
+
+
+
+ Memories ({memories.length})
+
+
+
+
+
+
+ {!isCollapsed && (
+
+
+
+ {isInitialLoading && memories.length === 0 ? (
+ <>
+
+
+
+ >
+ ) : (
+ memories.map((memory) => (
+
+ ))
+ )}
+
+
+
+ )}
+
+
+ )
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/StatusDisplay.tsx b/examples/personalized-voice-agent/client/react/src/components/StatusDisplay.tsx
new file mode 100644
index 000000000..f024378d9
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/StatusDisplay.tsx
@@ -0,0 +1,11 @@
+import { useRTVIClientTransportState } from '@pipecat-ai/client-react';
+
+export function StatusDisplay() {
+ const transportState = useRTVIClientTransportState();
+
+ return (
+
+ Status: {transportState}
+
+ );
+}
diff --git a/examples/personalized-voice-agent/client/react/src/components/ThemeAwareLogo.tsx b/examples/personalized-voice-agent/client/react/src/components/ThemeAwareLogo.tsx
new file mode 100644
index 000000000..8657312d9
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ThemeAwareLogo.tsx
@@ -0,0 +1,12 @@
+
+import mem0Logo from "./light.svg";
+
+export default function ThemeAwareLogo({
+ width = 100,
+ height = 35,
+}: {
+ width?: number;
+ height?: number;
+}) {
+ return
;
+}
diff --git a/examples/personalized-voice-agent/client/react/src/components/Waveform.tsx b/examples/personalized-voice-agent/client/react/src/components/Waveform.tsx
new file mode 100644
index 000000000..9c2c7c4a0
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/Waveform.tsx
@@ -0,0 +1,33 @@
+interface WaveformProps {
+ speakingState: 'user' | 'assistant' | 'system' | 'idle';
+}
+
+export function Waveform({ speakingState }: WaveformProps) {
+ const getAnimationClass = () => {
+ switch (speakingState) {
+ case 'user':
+ return 'waveform-bar bg-zinc-800';
+ case 'assistant':
+ return 'waveform-bar bg-zinc-600';
+ case 'system':
+ return 'waveform-bar-listening bg-zinc-400';
+ default:
+ return 'waveform-bar-listening bg-zinc-300';
+ }
+ };
+
+ return (
+
+ {[...Array(5)].map((_, i) => (
+
+ ))}
+
+ );
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/light.svg b/examples/personalized-voice-agent/client/react/src/components/light.svg
new file mode 100644
index 000000000..681ad49ed
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/light.svg
@@ -0,0 +1,8 @@
+
diff --git a/examples/personalized-voice-agent/client/react/src/components/magicui/interactive-hover-button.tsx b/examples/personalized-voice-agent/client/react/src/components/magicui/interactive-hover-button.tsx
new file mode 100644
index 000000000..7eac156bb
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/magicui/interactive-hover-button.tsx
@@ -0,0 +1,35 @@
+import React from "react";
+import { ArrowRight } from "lucide-react";
+import { cn } from "@/lib/utils";
+
+interface InteractiveHoverButtonProps
+ extends React.ButtonHTMLAttributes {}
+
+export const InteractiveHoverButton = React.forwardRef<
+ HTMLButtonElement,
+ InteractiveHoverButtonProps
+>(({ children, className, ...props }, ref) => {
+ return (
+
+ );
+});
+
+InteractiveHoverButton.displayName = "InteractiveHoverButton";
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/BorderTrail.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/BorderTrail.tsx
new file mode 100644
index 000000000..455c675b2
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/BorderTrail.tsx
@@ -0,0 +1,56 @@
+import { useEffect, useRef } from "react"
+import { cn } from "@/lib/utils"
+
+interface BorderTrailProps extends React.HTMLAttributes {
+ size?: number
+ duration?: number
+}
+
+export const BorderTrail: React.FC = ({ className, size = 100, duration = 5, ...props }) => {
+ const borderRef = useRef(null)
+
+ useEffect(() => {
+ const borderElement = borderRef.current
+ if (!borderElement) return
+
+ const animateBorder = () => {
+ const startTime = performance.now()
+ let animationFrameId: number
+
+ const animate = (currentTime: number) => {
+ const elapsed = (currentTime - startTime) / 1000
+ const progress = (elapsed % duration) / duration
+ const rotation = progress * 360
+
+ if (borderElement) {
+ borderElement.style.transform = `rotate(${rotation}deg)`
+ }
+
+ animationFrameId = requestAnimationFrame(animate)
+ }
+
+ animationFrameId = requestAnimationFrame(animate)
+
+ return () => {
+ cancelAnimationFrame(animationFrameId)
+ }
+ }
+
+ const cleanup = animateBorder()
+ return cleanup
+ }, [duration])
+
+ return (
+
+ )
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/TextShimmer.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/TextShimmer.tsx
new file mode 100644
index 000000000..c9cea8e87
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/TextShimmer.tsx
@@ -0,0 +1,55 @@
+import { useEffect, useRef } from "react"
+import { cn } from "@/lib/utils"
+
+interface TextShimmerProps extends React.HTMLAttributes {
+ duration?: number
+ children: React.ReactNode
+}
+
+export const TextShimmer: React.FC = ({ className, duration = 3, children, ...props }) => {
+ const shimmerRef = useRef(null)
+
+ useEffect(() => {
+ const shimmerElement = shimmerRef.current
+ if (!shimmerElement) return
+
+ const animateShimmer = () => {
+ const startTime = performance.now()
+ let animationFrameId: number
+
+ const animate = (currentTime: number) => {
+ const elapsed = (currentTime - startTime) / 1000
+ const progress = (elapsed % duration) / duration
+ const position = progress * 200 - 100 // -100% to 100%
+
+ if (shimmerElement) {
+ shimmerElement.style.backgroundPosition = `${position}% 0`
+ }
+
+ animationFrameId = requestAnimationFrame(animate)
+ }
+
+ animationFrameId = requestAnimationFrame(animate)
+
+ return () => {
+ cancelAnimationFrame(animationFrameId)
+ }
+ }
+
+ const cleanup = animateShimmer()
+ return cleanup
+ }, [duration])
+
+ return (
+
+ {children}
+
+ )
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/badge.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/badge.tsx
new file mode 100644
index 000000000..aaee02c59
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/badge.tsx
@@ -0,0 +1,31 @@
+import * as React from "react"
+import { cn } from "@/lib/utils"
+
+export interface BadgeProps extends React.HTMLAttributes {
+ variant?: "default" | "secondary" | "destructive" | "outline"
+}
+
+export function Badge({
+ className,
+ variant = "default",
+ ...props
+}: BadgeProps) {
+ return (
+
+ )
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/button.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/button.tsx
new file mode 100644
index 000000000..cd0857a00
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/button.tsx
@@ -0,0 +1,58 @@
+import * as React from "react"
+import { Slot } from "@radix-ui/react-slot"
+import { cva, type VariantProps } from "class-variance-authority"
+
+import { cn } from "@/lib/utils"
+
+const buttonVariants = cva(
+ "inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium transition-[color,box-shadow] disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg:not([class*='size-'])]:size-4 shrink-0 [&_svg]:shrink-0 outline-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive",
+ {
+ variants: {
+ variant: {
+ default:
+ "bg-primary text-primary-foreground shadow-xs hover:bg-primary/90",
+ destructive:
+ "bg-destructive text-white shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40",
+ outline:
+ "border border-input bg-background shadow-xs hover:bg-accent hover:text-accent-foreground",
+ secondary:
+ "bg-secondary text-secondary-foreground shadow-xs hover:bg-secondary/80",
+ ghost: "hover:bg-accent hover:text-accent-foreground",
+ link: "text-primary underline-offset-4 hover:underline",
+ },
+ size: {
+ default: "h-9 px-4 py-2 has-[>svg]:px-3",
+ sm: "h-8 rounded-md gap-1.5 px-3 has-[>svg]:px-2.5",
+ lg: "h-10 rounded-md px-6 has-[>svg]:px-4",
+ icon: "size-9",
+ },
+ },
+ defaultVariants: {
+ variant: "default",
+ size: "default",
+ },
+ }
+)
+
+function Button({
+ className,
+ variant,
+ size,
+ asChild = false,
+ ...props
+}: React.ComponentProps<"button"> &
+ VariantProps & {
+ asChild?: boolean
+ }) {
+ const Comp = asChild ? Slot : "button"
+
+ return (
+
+ )
+}
+
+export { Button, buttonVariants }
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/card.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/card.tsx
new file mode 100644
index 000000000..c9ca7575c
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/card.tsx
@@ -0,0 +1,54 @@
+import * as React from "react"
+import { cn } from "@/lib/utils"
+
+const Card = React.forwardRef<
+ HTMLDivElement,
+ React.HTMLAttributes
+>(({ className, ...props }, ref) => (
+
+))
+Card.displayName = "Card"
+
+const CardHeader = React.forwardRef<
+ HTMLDivElement,
+ React.HTMLAttributes
+>(({ className, ...props }, ref) => (
+
+))
+CardHeader.displayName = "CardHeader"
+
+const CardTitle = React.forwardRef<
+ HTMLParagraphElement,
+ React.HTMLAttributes
+>(({ className, ...props }, ref) => (
+
+))
+CardTitle.displayName = "CardTitle"
+
+const CardContent = React.forwardRef<
+ HTMLDivElement,
+ React.HTMLAttributes
+>(({ className, ...props }, ref) => (
+
+))
+CardContent.displayName = "CardContent"
+
+export { Card, CardHeader, CardTitle, CardContent }
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/src/components/ui/scroll-area.tsx b/examples/personalized-voice-agent/client/react/src/components/ui/scroll-area.tsx
new file mode 100644
index 000000000..b9327c0df
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/components/ui/scroll-area.tsx
@@ -0,0 +1,56 @@
+import * as React from "react"
+import * as ScrollAreaPrimitive from "@radix-ui/react-scroll-area"
+
+import { cn } from "@/lib/utils"
+
+function ScrollArea({
+ className,
+ children,
+ ...props
+}: React.ComponentProps) {
+ return (
+
+
+ {children}
+
+
+
+
+ )
+}
+
+function ScrollBar({
+ className,
+ orientation = "vertical",
+ ...props
+}: React.ComponentProps) {
+ return (
+
+
+
+ )
+}
+
+export { ScrollArea, ScrollBar }
diff --git a/examples/personalized-voice-agent/client/react/src/lib/utils.ts b/examples/personalized-voice-agent/client/react/src/lib/utils.ts
new file mode 100644
index 000000000..9ad0df426
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/lib/utils.ts
@@ -0,0 +1,6 @@
+import { type ClassValue, clsx } from 'clsx';
+import { twMerge } from 'tailwind-merge';
+
+export function cn(...inputs: ClassValue[]) {
+ return twMerge(clsx(inputs));
+}
diff --git a/examples/personalized-voice-agent/client/react/src/main.tsx b/examples/personalized-voice-agent/client/react/src/main.tsx
new file mode 100644
index 000000000..9707d8270
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/main.tsx
@@ -0,0 +1,9 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import App from './App';
+
+ReactDOM.createRoot(document.getElementById('root')!).render(
+
+
+
+);
diff --git a/examples/personalized-voice-agent/client/react/src/providers/RTVIProvider.tsx b/examples/personalized-voice-agent/client/react/src/providers/RTVIProvider.tsx
new file mode 100644
index 000000000..8c6c6a894
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/src/providers/RTVIProvider.tsx
@@ -0,0 +1,22 @@
+import { type PropsWithChildren } from 'react';
+import { RTVIClient } from '@pipecat-ai/client-js';
+import { DailyTransport } from '@pipecat-ai/daily-transport';
+import { RTVIClientProvider } from '@pipecat-ai/client-react';
+
+const transport = new DailyTransport();
+
+const client = new RTVIClient({
+ transport,
+ params: {
+ baseUrl: 'http://localhost:7860',
+ endpoints: {
+ connect: '/connect',
+ },
+ },
+ enableMic: true,
+ enableCam: false,
+});
+
+export function RTVIProvider({ children }: PropsWithChildren) {
+ return {children};
+}
diff --git a/examples/personalized-voice-agent/client/react/tailwind.config.js b/examples/personalized-voice-agent/client/react/tailwind.config.js
new file mode 100644
index 000000000..36b6971c9
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/tailwind.config.js
@@ -0,0 +1,53 @@
+/** @type {import('tailwindcss').Config} */
+export default {
+ content: [
+ "./index.html",
+ "./src/**/*.{js,ts,jsx,tsx}",
+ ],
+ theme: {
+ extend: {
+ keyframes: {
+ 'message-pop': {
+ '0%': {
+ opacity: '0',
+ transform: 'scale(0.95) translateY(10px)'
+ },
+ '100%': {
+ opacity: '1',
+ transform: 'scale(1) translateY(0)'
+ }
+ },
+ 'memory-pop': {
+ '0%': {
+ opacity: '0',
+ transform: 'translateY(10px)'
+ },
+ '100%': {
+ opacity: '1',
+ transform: 'translateY(0)'
+ }
+ },
+ 'loading-bar': {
+ '0%': {
+ transform: 'translateX(-100%)'
+ },
+ '100%': {
+ transform: 'translateX(100%)'
+ }
+ },
+ 'shimmer': {
+ '100%': {
+ transform: 'translateX(100%)'
+ }
+ }
+ },
+ animation: {
+ 'message-pop': 'message-pop 0.3s ease-out',
+ 'memory-pop': 'memory-pop 0.3s ease-out forwards',
+ 'loading-bar': 'loading-bar 2s infinite',
+ 'shimmer': 'shimmer 1.5s infinite'
+ }
+ },
+ },
+ plugins: [],
+}
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/client/react/tsconfig.json b/examples/personalized-voice-agent/client/react/tsconfig.json
new file mode 100644
index 000000000..7b10bf653
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/tsconfig.json
@@ -0,0 +1,30 @@
+{
+ "compilerOptions": {
+ "target": "ES2020",
+ "useDefineForClassFields": true,
+ "lib": ["ES2020", "DOM", "DOM.Iterable"],
+ "module": "ESNext",
+ "skipLibCheck": true,
+
+ /* Bundler mode */
+ "moduleResolution": "bundler",
+ "allowImportingTsExtensions": true,
+ "resolveJsonModule": true,
+ "isolatedModules": true,
+ "noEmit": true,
+ "jsx": "react-jsx",
+
+ /* Linting */
+ "strict": true,
+ "noUnusedLocals": true,
+ "noUnusedParameters": true,
+ "noFallthroughCasesInSwitch": true,
+
+ "baseUrl": ".",
+ "paths": {
+ "@/*": ["./src/*"]
+ }
+ },
+ "include": ["src"],
+ "references": [{ "path": "./tsconfig.node.json" }]
+}
diff --git a/examples/personalized-voice-agent/client/react/tsconfig.node.json b/examples/personalized-voice-agent/client/react/tsconfig.node.json
new file mode 100644
index 000000000..c27e738d9
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/tsconfig.node.json
@@ -0,0 +1,14 @@
+{
+ "compilerOptions": {
+ "composite": true,
+ "skipLibCheck": true,
+ "module": "ESNext",
+ "moduleResolution": "bundler",
+ "allowSyntheticDefaultImports": true,
+ "baseUrl": ".",
+ "paths": {
+ "@/*": ["./src/*"]
+ }
+ },
+ "include": ["vite.config.ts"]
+}
diff --git a/examples/personalized-voice-agent/client/react/vite.config.ts b/examples/personalized-voice-agent/client/react/vite.config.ts
new file mode 100644
index 000000000..a36440ca3
--- /dev/null
+++ b/examples/personalized-voice-agent/client/react/vite.config.ts
@@ -0,0 +1,14 @@
+import path from 'path'
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+import tailwindcss from '@tailwindcss/vite'
+
+// https://vite.dev/config/
+export default defineConfig({
+ plugins: [react(), tailwindcss()],
+ resolve: {
+ alias: {
+ "@": path.resolve(__dirname, "./src"),
+ },
+ },
+})
diff --git a/examples/personalized-voice-agent/image.png b/examples/personalized-voice-agent/image.png
new file mode 100644
index 000000000..b11118404
Binary files /dev/null and b/examples/personalized-voice-agent/image.png differ
diff --git a/examples/personalized-voice-agent/server/Dockerfile b/examples/personalized-voice-agent/server/Dockerfile
new file mode 100644
index 000000000..36cc72073
--- /dev/null
+++ b/examples/personalized-voice-agent/server/Dockerfile
@@ -0,0 +1,17 @@
+FROM python:3.10-bullseye
+
+RUN mkdir /app
+RUN mkdir /app/assets
+RUN mkdir /app/utils
+COPY requirements.txt /app/
+
+WORKDIR /app
+RUN pip3 install -r requirements.txt
+
+COPY *.py /app/
+COPY assets/* /app/assets/
+COPY .env /app/.env
+
+EXPOSE 7860
+
+CMD ["python3", "server.py"]
diff --git a/examples/personalized-voice-agent/server/README.md b/examples/personalized-voice-agent/server/README.md
new file mode 100644
index 000000000..18e5d38bc
--- /dev/null
+++ b/examples/personalized-voice-agent/server/README.md
@@ -0,0 +1,57 @@
+# Personalized Voice Agent Server
+
+A FastAPI server that manages bot instances and provides endpoints for both Daily Prebuilt and Pipecat client connections.
+
+## Environment Variables
+
+Copy `env.example` to `.env` and configure:
+
+```ini
+# Required API Keys
+DAILY_API_KEY= # Your Daily API key
+MEM0_API_KEY= # Your Mem0 API key
+OPENAI_API_KEY= # Your OpenAI API key (required for OpenAI bot)
+ELEVENLABS_API_KEY= # Your ElevenLabs API key
+
+# Optional Configuration
+DAILY_API_URL= # Optional: Daily API URL (defaults to https://api.daily.co/v1)
+DAILY_SAMPLE_ROOM_URL= # Optional: Fixed room URL for development
+HOST= # Optional: Host address (defaults to 0.0.0.0)
+FAST_API_PORT= # Optional: Port number (defaults to 7860)
+```
+
+## Available Bots
+
+The server supports two bot implementations:
+
+1. **OpenAI Bot** (Default)
+
+ - Uses GPT-4 for conversation
+ - Requires OPENAI_API_KEY
+
+## Running the Server
+
+Set up and activate your virtual environment:
+
+```bash
+python3 -m venv venv
+source venv/bin/activate # On Windows: venv\Scripts\activate
+```
+
+Install dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+If you want to use the local version of `pipecat` in this repo rather than the last published version, also run:
+
+```bash
+pip install --editable "../../../[daily,elevenlabs,openai,silero,mem0ai]"
+```
+
+Run the server:
+
+```bash
+python server.py
+```
diff --git a/examples/personalized-voice-agent/server/bot-openai.py b/examples/personalized-voice-agent/server/bot-openai.py
new file mode 100644
index 000000000..097950b25
--- /dev/null
+++ b/examples/personalized-voice-agent/server/bot-openai.py
@@ -0,0 +1,243 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""OpenAI Bot Implementation.
+
+This module implements a chatbot using OpenAI's GPT-4 model for natural language
+processing. It includes:
+- Real-time audio/video interaction through Daily
+- Animated robot avatar
+- Text-to-speech using ElevenLabs
+- Support for both English and Spanish
+
+The bot runs as part of a pipeline that processes audio/video frames and manages
+the conversation flow.
+"""
+
+import asyncio
+import os
+import sys
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.services.mem0 import Mem0MemoryService
+from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
+from pipecat.services.elevenlabs import ElevenLabsTTSService
+from pipecat.services.openai import OpenAILLMService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+load_dotenv(override=True)
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+from pipecat.processors.aggregators.openai_llm_context import (
+ OpenAILLMContext,
+)
+
+try:
+ from mem0 import MemoryClient
+except ModuleNotFoundError as e:
+ logger.error(f"Exception: {e}")
+ logger.error(
+ "In order to use Mem0, you need to `pip install mem0ai`. Also, set the environment variable MEM0_API_KEY."
+ )
+ raise Exception(f"Missing module: {e}")
+
+
+async def get_initial_greeting(memory_client: MemoryClient, user_id: str, agent_id: str, run_id: str) -> str:
+ """Fetch all memories for the user and create a personalized greeting.
+
+ Returns:
+ A personalized greeting based on user memories
+ """
+ try:
+ # Create filters based on available IDs
+ id_pairs = [("user_id", user_id), ("agent_id", agent_id), ("run_id", run_id)]
+ clauses = [{name: value} for name, value in id_pairs if value is not None]
+ filters = {"AND": clauses} if clauses else {}
+
+ # Get all memories for this user
+ memories = memory_client.get_all(filters=filters, version="v2")
+
+ if not memories or len(memories) == 0:
+ return "Hello! It's nice to meet you. How can I help you today?"
+
+ # Create a personalized greeting based on memories
+ greeting = "Hello! It's great to see you again. "
+
+ # Add some personalization based on memories (limit to 3 memories for brevity)
+ if len(memories) > 0:
+ greeting += "Based on our previous conversations, I remember: "
+ for i, memory in enumerate(memories[:3], 1):
+ memory_content = memory.get('memory', '')
+ # Keep memory references brief
+ if len(memory_content) > 100:
+ memory_content = memory_content[:97] + "..."
+ greeting += f"{memory_content} "
+
+ greeting += "How can I help you today?"
+
+ logger.debug(f"Created personalized greeting from {len(memories)} memories")
+ return greeting
+
+ except Exception as e:
+ logger.error(f"Error retrieving initial memories from Mem0: {e}")
+ return "Hello! How can I help you today?"
+
+
+async def main():
+ """Main bot execution function.
+
+ Sets up and runs the bot pipeline including:
+ - Daily video transport
+ - Speech-to-text and text-to-speech services
+ - Language model integration
+ - Mem0 memory service
+ - RTVI event handling
+ """
+ # Note: You can pass the user_id as a parameter in API call
+ USER_ID = "deshraj"
+ async with aiohttp.ClientSession() as session:
+ (room_url, token) = await configure(session)
+
+ # Set up Daily transport with video/audio parameters
+ transport = DailyTransport(
+ room_url,
+ token,
+ "Chatbot",
+ DailyParams(
+ audio_out_enabled=True,
+ camera_out_enabled=True,
+ camera_out_width=1024,
+ camera_out_height=576,
+ vad_enabled=True,
+ vad_analyzer=SileroVADAnalyzer(),
+ transcription_enabled=True,
+ #
+ # Spanish
+ #
+ # transcription_settings=DailyTranscriptionSettings(
+ # language="es",
+ # tier="nova",
+ # model="2-general"
+ # )
+ ),
+ )
+
+ # Initialize text-to-speech service
+ tts = ElevenLabsTTSService(
+ api_key=os.getenv("ELEVENLABS_API_KEY"),
+ #
+ # English
+ #
+ voice_id="pNInz6obpgDQGcFmaJgB",
+ #
+ # Spanish
+ #
+ # model="eleven_multilingual_v2",
+ # voice_id="gD1IexrzCvsXPHUuT0s3",
+ )
+
+ # Initialize Mem0 memory service
+ memory = Mem0MemoryService(
+ api_key=os.getenv("MEM0_API_KEY"),
+ user_id=USER_ID, # Unique identifier for the user
+ # agent_id="life_coach_bot", # Optional identifier for the agent
+ # run_id="session_1", # Optional identifier for the run
+ params=Mem0MemoryService.InputParams(
+ search_limit=10,
+ search_threshold=0.3,
+ api_version="v2",
+ system_prompt="Based on previous conversations, I recall: \n\n",
+ add_as_system_message=True,
+ position=1
+ )
+ )
+
+ # Initialize LLM service
+ llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
+
+ messages = [
+ {
+ "role": "system",
+ "content": """You are a personal assistant. You can remember things about the person you are talking to.
+ Some Guidelines:
+ - Make sure your responses are friendly yet short and concise.
+ - If the user asks you to remember something, make sure to remember it.
+ - Greet the user by their name if you know about it.
+ """
+ },
+ ]
+
+ # Set up conversation context and management
+ # The context_aggregator will automatically collect conversation context
+ context = OpenAILLMContext(messages)
+ context_aggregator = llm.create_context_aggregator(context)
+
+ #
+ # RTVI events for Pipecat client UI
+ #
+ rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
+
+ pipeline = Pipeline(
+ [
+ transport.input(),
+ rtvi,
+ context_aggregator.user(),
+ memory,
+ llm,
+ tts,
+ transport.output(),
+ context_aggregator.assistant(),
+ ]
+ )
+
+ task = PipelineTask(
+ pipeline,
+ params=PipelineParams(
+ allow_interruptions=True,
+ enable_metrics=True,
+ enable_usage_metrics=True,
+ ),
+ observers=[RTVIObserver(rtvi)],
+ )
+
+ @rtvi.event_handler("on_client_ready")
+ async def on_client_ready(rtvi):
+ await rtvi.set_bot_ready()
+
+ @transport.event_handler("on_first_participant_joined")
+ async def on_first_participant_joined(transport, participant):
+ await transport.capture_participant_transcription(participant["id"])
+
+ # Get personalized greeting based on user memories. Can pass agent_id and run_id as per requirement of the application to manage short term memory or agent specific memory.
+ greeting = await get_initial_greeting(memory_client=memory.memory_client, user_id=USER_ID, agent_id=None, run_id=None)
+
+ # Add the greeting as an assistant message to start the conversation
+ context.add_message({"role": "assistant", "content": greeting})
+
+ # Queue the context frame to start the conversation
+ await task.queue_frames([context_aggregator.user().get_context_frame()])
+
+ @transport.event_handler("on_participant_left")
+ async def on_participant_left(transport, participant, reason):
+ print(f"Participant left: {participant}")
+ await task.cancel()
+
+ runner = PipelineRunner()
+
+ await runner.run(task)
+
+
+if __name__ == "__main__":
+ asyncio.run(main())
diff --git a/examples/personalized-voice-agent/server/env.example b/examples/personalized-voice-agent/server/env.example
new file mode 100644
index 000000000..1898f0412
--- /dev/null
+++ b/examples/personalized-voice-agent/server/env.example
@@ -0,0 +1,6 @@
+DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
+DAILY_API_KEY=7df...
+OPENAI_API_KEY=sk-PL...
+GEMINI_API_KEY=AIza...
+ELEVENLABS_API_KEY=aeb...
+MEM0_API_KEY=m0-...
\ No newline at end of file
diff --git a/examples/personalized-voice-agent/server/requirements.txt b/examples/personalized-voice-agent/server/requirements.txt
new file mode 100644
index 000000000..f7b3ba165
--- /dev/null
+++ b/examples/personalized-voice-agent/server/requirements.txt
@@ -0,0 +1,5 @@
+python-dotenv
+fastapi[all]
+uvicorn
+pipecat-ai[daily,elevenlabs,openai,silero,google]
+mem0ai>=0.1.69
diff --git a/examples/personalized-voice-agent/server/runner.py b/examples/personalized-voice-agent/server/runner.py
new file mode 100644
index 000000000..9e050c997
--- /dev/null
+++ b/examples/personalized-voice-agent/server/runner.py
@@ -0,0 +1,56 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+
+import aiohttp
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+
+async def configure(aiohttp_session: aiohttp.ClientSession):
+ """Configure the Daily room and Daily REST helper."""
+ parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+ parser.add_argument(
+ "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
+ )
+ parser.add_argument(
+ "-k",
+ "--apikey",
+ type=str,
+ required=False,
+ help="Daily API Key (needed to create an owner token for the room)",
+ )
+
+ args, unknown = parser.parse_known_args()
+
+ url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
+ key = args.apikey or os.getenv("DAILY_API_KEY")
+
+ if not url:
+ raise Exception(
+ "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
+ )
+
+ if not key:
+ raise Exception(
+ "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
+ )
+
+ daily_rest_helper = DailyRESTHelper(
+ daily_api_key=key,
+ daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+ aiohttp_session=aiohttp_session,
+ )
+
+ # Create a meeting token for the given room with an expiration 1 hour in
+ # the future.
+ expiry_time: float = 60 * 60
+
+ token = await daily_rest_helper.get_token(url, expiry_time)
+
+ return (url, token)
diff --git a/examples/personalized-voice-agent/server/server.py b/examples/personalized-voice-agent/server/server.py
new file mode 100644
index 000000000..0264c2a26
--- /dev/null
+++ b/examples/personalized-voice-agent/server/server.py
@@ -0,0 +1,270 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""RTVI Bot Server Implementation.
+
+This FastAPI server manages RTVI bot instances and provides endpoints for both
+direct browser access and RTVI client connections. It handles:
+- Creating Daily rooms
+- Managing bot processes
+- Providing connection credentials
+- Monitoring bot status
+
+Requirements:
+- Daily API key (set in .env file)
+- Python 3.10+
+- FastAPI
+- Running bot implementation
+"""
+
+import argparse
+import os
+import subprocess
+from contextlib import asynccontextmanager
+from typing import Any, Dict
+
+import aiohttp
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse, RedirectResponse
+from mem0 import MemoryClient
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
+
+# Load environment variables from .env file
+load_dotenv(override=True)
+
+# Maximum number of bot instances allowed per room
+MAX_BOTS_PER_ROOM = 1
+
+# Dictionary to track bot processes: {pid: (process, room_url)}
+bot_procs = {}
+
+# Store Daily API helpers
+daily_helpers = {}
+
+
+def cleanup():
+ """Cleanup function to terminate all bot processes.
+
+ Called during server shutdown.
+ """
+ for entry in bot_procs.values():
+ proc = entry[0]
+ proc.terminate()
+ proc.wait()
+
+
+def get_bot_file():
+ bot_implementation = os.getenv("BOT_IMPLEMENTATION", "openai").lower().strip()
+ # If blank or None, default to openai
+ if not bot_implementation:
+ bot_implementation = "openai"
+ if bot_implementation not in ["openai", "gemini"]:
+ raise ValueError(
+ f"Invalid BOT_IMPLEMENTATION: {bot_implementation}. Must be 'openai' or 'gemini'"
+ )
+ return f"bot-{bot_implementation}"
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+ """FastAPI lifespan manager that handles startup and shutdown tasks.
+
+ - Creates aiohttp session
+ - Initializes Daily API helper
+ - Cleans up resources on shutdown
+ """
+ aiohttp_session = aiohttp.ClientSession()
+ daily_helpers["rest"] = DailyRESTHelper(
+ daily_api_key=os.getenv("DAILY_API_KEY", ""),
+ daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+ aiohttp_session=aiohttp_session,
+ )
+ yield
+ await aiohttp_session.close()
+ cleanup()
+
+
+# Initialize FastAPI app with lifespan manager
+app = FastAPI(lifespan=lifespan)
+
+# Configure CORS to allow requests from any origin
+app.add_middleware(
+ CORSMiddleware,
+ allow_origins=["*"],
+ allow_credentials=True,
+ allow_methods=["*"],
+ allow_headers=["*"],
+)
+
+
+async def create_room_and_token() -> tuple[str, str]:
+ """Helper function to create a Daily room and generate an access token.
+
+ Returns:
+ tuple[str, str]: A tuple containing (room_url, token)
+
+ Raises:
+ HTTPException: If room creation or token generation fails
+ """
+ room = await daily_helpers["rest"].create_room(DailyRoomParams())
+ if not room.url:
+ raise HTTPException(status_code=500, detail="Failed to create room")
+
+ token = await daily_helpers["rest"].get_token(room.url)
+ if not token:
+ raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
+
+ return room.url, token
+
+
+@app.get("/")
+async def start_agent(request: Request):
+ """Endpoint for direct browser access to the bot.
+
+ Creates a room, starts a bot instance, and redirects to the Daily room URL.
+
+ Returns:
+ RedirectResponse: Redirects to the Daily room URL
+
+ Raises:
+ HTTPException: If room creation, token generation, or bot startup fails
+ """
+ print("Creating room")
+ room_url, token = await create_room_and_token()
+ print(f"Room URL: {room_url}")
+
+ # Check if there is already an existing process running in this room
+ num_bots_in_room = sum(
+ 1 for proc in bot_procs.values() if proc[1] == room_url and proc[0].poll() is None
+ )
+ if num_bots_in_room >= MAX_BOTS_PER_ROOM:
+ raise HTTPException(status_code=500, detail=f"Max bot limit reached for room: {room_url}")
+
+ # Spawn a new bot process
+ try:
+ bot_file = get_bot_file()
+ proc = subprocess.Popen(
+ [f"python3 -m {bot_file} -u {room_url} -t {token}"],
+ shell=True,
+ bufsize=1,
+ cwd=os.path.dirname(os.path.abspath(__file__)),
+ )
+ bot_procs[proc.pid] = (proc, room_url)
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+
+ return RedirectResponse(room_url)
+
+
+@app.get("/memories")
+async def get_memories(request: Request):
+ """Endpoint for getting memories from the bot.
+
+ Returns:
+ Dict[Any, Any]: Memories from the bot
+ """
+ memory_client = MemoryClient(api_key=os.getenv("MEM0_API_KEY"))
+ filters = {
+ "AND": [
+ {"user_id": "deshraj"},
+ ]
+ }
+ memories = memory_client.get_all(filters=filters, version="v2")
+
+ # Format memories for emission
+ formatted_memories = [
+ {
+ "id": str(memory.get("id", "")),
+ "content": memory.get("memory", ""),
+ "createdAt": memory.get("created_at", ""),
+ "categories": memory.get("categories", [])
+ } for memory in memories
+ ]
+
+ return formatted_memories
+
+
+@app.post("/connect")
+async def rtvi_connect(request: Request) -> Dict[Any, Any]:
+ """RTVI connect endpoint that creates a room and returns connection credentials.
+
+ This endpoint is called by RTVI clients to establish a connection.
+
+ Returns:
+ Dict[Any, Any]: Authentication bundle containing room_url and token
+
+ Raises:
+ HTTPException: If room creation, token generation, or bot startup fails
+ """
+ print("Creating room for RTVI connection")
+ room_url, token = await create_room_and_token()
+ print(f"Room URL: {room_url}")
+
+ # Start the bot process
+ try:
+ bot_file = get_bot_file()
+ proc = subprocess.Popen(
+ [f"python3 -m {bot_file} -u {room_url} -t {token}"],
+ shell=True,
+ bufsize=1,
+ cwd=os.path.dirname(os.path.abspath(__file__)),
+ )
+ bot_procs[proc.pid] = (proc, room_url)
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+
+ # Return the authentication bundle in format expected by DailyTransport
+ return {"room_url": room_url, "token": token}
+
+
+@app.get("/status/{pid}")
+def get_status(pid: int):
+ """Get the status of a specific bot process.
+
+ Args:
+ pid (int): Process ID of the bot
+
+ Returns:
+ JSONResponse: Status information for the bot
+
+ Raises:
+ HTTPException: If the specified bot process is not found
+ """
+ # Look up the subprocess
+ proc = bot_procs.get(pid)
+
+ # If the subprocess doesn't exist, return an error
+ if not proc:
+ raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
+
+ # Check the status of the subprocess
+ status = "running" if proc[0].poll() is None else "finished"
+ return JSONResponse({"bot_id": pid, "status": status})
+
+
+if __name__ == "__main__":
+ import uvicorn
+
+ # Parse command line arguments for server configuration
+ default_host = os.getenv("HOST", "0.0.0.0")
+ default_port = int(os.getenv("FAST_API_PORT", "7860"))
+
+ parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
+ parser.add_argument("--host", type=str, default=default_host, help="Host address")
+ parser.add_argument("--port", type=int, default=default_port, help="Port number")
+ parser.add_argument("--reload", action="store_true", help="Reload code on change")
+
+ config = parser.parse_args()
+
+ # Start the FastAPI server
+ uvicorn.run(
+ "server:app",
+ host=config.host,
+ port=config.port,
+ reload=config.reload,
+ )
diff --git a/pyproject.toml b/pyproject.toml
index 0d1e46ed9..e62e52034 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -84,6 +84,7 @@ together = []
ultravox = [ "transformers~=4.48.0", "vllm~=0.7.3" ]
websocket = [ "websockets~=13.1", "fastapi~=0.115.6" ]
whisper = [ "faster-whisper~=1.1.1" ]
+mem0 = [ "mem0ai~=0.1.76" ]
[tool.setuptools.packages.find]
# All the following settings are optional:
diff --git a/src/pipecat/services/mem0.py b/src/pipecat/services/mem0.py
new file mode 100644
index 000000000..e3d7d17b3
--- /dev/null
+++ b/src/pipecat/services/mem0.py
@@ -0,0 +1,199 @@
+from typing import Any, Dict, List
+from loguru import logger
+from pydantic import BaseModel, Field
+
+from pipecat.frames.frames import (
+ ErrorFrame,
+ Frame,
+ LLMMessagesFrame,
+)
+from pipecat.processors.aggregators.openai_llm_context import (
+ OpenAILLMContext,
+ OpenAILLMContextFrame,
+)
+from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
+
+try:
+ from mem0 import MemoryClient
+except ModuleNotFoundError as e:
+ logger.error(f"Exception: {e}")
+ logger.error(
+ "In order to use Mem0, you need to `pip install mem0ai`. Also, set the environment variable MEM0_API_KEY."
+ )
+ raise Exception(f"Missing module: {e}")
+
+
+class Mem0MemoryService(FrameProcessor):
+ """A standalone memory service that integrates with Mem0.
+
+ This service intercepts message frames in the pipeline, stores them in Mem0,
+ and enhances context with relevant memories before passing them downstream.
+
+ Args:
+ api_key (str): The API key for accessing Mem0's API
+ user_id (str): The user ID to associate with memories in Mem0
+ params (InputParams, optional): Configuration parameters for memory retrieval
+ """
+
+ class InputParams(BaseModel):
+ search_limit: int = Field(default=10, ge=1)
+ search_threshold: float = Field(default=0.1, ge=0.0, le=1.0)
+ api_version: str = Field(default="v2")
+ system_prompt: str = Field(
+ default="Based on previous conversations, I recall: \n\n"
+ )
+ add_as_system_message: bool = Field(default=True)
+ position: int = Field(default=1)
+
+ def __init__(
+ self,
+ *,
+ api_key: str,
+ user_id: str = None,
+ agent_id: str = None,
+ run_id: str = None,
+ params: InputParams = InputParams(),
+ ):
+ # Important: Call the parent class __init__ first
+ super().__init__()
+
+ self.memory_client = MemoryClient(api_key=api_key)
+ # At least one of user_id, agent_id, or run_id must be provided
+ if not any([user_id, agent_id, run_id]):
+ raise ValueError("At least one of user_id, agent_id, or run_id must be provided")
+
+ self.user_id = user_id
+ self.agent_id = agent_id
+ self.run_id = run_id
+ self.search_limit = params.search_limit
+ self.search_threshold = params.search_threshold
+ self.api_version = params.api_version
+ self.system_prompt = params.system_prompt
+ self.add_as_system_message = params.add_as_system_message
+ self.position = params.position
+ self.last_query = None
+ logger.info(f"Initialized Mem0MemoryService with {user_id=}, {agent_id=}, {run_id=}")
+
+ def _store_messages(self, messages: List[Dict[str, Any]]):
+ """Store messages in Mem0.
+
+ Args:
+ messages: List of message dictionaries to store
+ """
+ try:
+ logger.debug(f"Storing {len(messages)} messages in Mem0")
+ params = {"messages": messages, "metadata": {"platform": "pipecat"}}
+ for id in ["user_id", "agent_id", "run_id"]:
+ if getattr(self, id):
+ params[id] = getattr(self, id)
+ # Note: You can run this in background to avoid blocking the conversation
+ self.memory_client.add(**params)
+ except Exception as e:
+ logger.error(f"Error storing messages in Mem0: {e}")
+
+ def _retrieve_memories(self, query: str) -> List[Dict[str, Any]]:
+ """Retrieve relevant memories from Mem0.
+
+ Args:
+ query: The query to search for relevant memories
+
+ Returns:
+ List of relevant memory dictionaries
+ """
+ try:
+ logger.debug(f"Retrieving memories for query: {query}")
+ id_pairs = [("user_id", self.user_id), ("agent_id", self.agent_id), ("run_id", self.run_id)]
+ clauses = [{name: value} for name, value in id_pairs if value is not None]
+ filters = {"AND": clauses} if clauses else {}
+ results = self.memory_client.search(
+ query=query,
+ filters=filters,
+ version=self.api_version,
+ top_k=self.search_limit,
+ threshold=self.search_threshold,
+ )
+
+ logger.debug(f"Retrieved {len(results)} memories from Mem0")
+ return results
+ except Exception as e:
+ logger.error(f"Error retrieving memories from Mem0: {e}")
+ return []
+
+ def _enhance_context_with_memories(self, context: OpenAILLMContext, query: str):
+ """Enhance the LLM context with relevant memories.
+
+ Args:
+ context: The OpenAILLMContext to enhance
+ query: The query to search for relevant memories
+ """
+ # Skip if this is the same query we just processed
+ if self.last_query == query:
+ return
+
+ self.last_query = query
+
+ memories = self._retrieve_memories(query)
+ if not memories:
+ return
+
+ # Format memories as a message
+ memory_text = self.system_prompt
+ for i, memory in enumerate(memories, 1):
+ memory_text += f"{i}. {memory.get('memory', '')}\n\n"
+
+ # Add memories as a system message or user message based on configuration
+ if self.add_as_system_message:
+ context.add_message({"role": "system", "content": memory_text})
+ else:
+ # Add as a user message that provides context
+ context.add_message({"role": "user", "content": memory_text})
+ logger.debug(f"Enhanced context with {len(memories)} memories")
+
+ async def process_frame(self, frame: Frame, direction: FrameDirection):
+ """Process incoming frames, intercept context frames for memory integration.
+
+ Args:
+ frame: The incoming frame to process
+ direction: The direction of frame flow in the pipeline
+ """
+ await super().process_frame(frame, direction)
+
+ context = None
+ messages = None
+
+ if isinstance(frame, OpenAILLMContextFrame):
+ context = frame.context
+ elif isinstance(frame, LLMMessagesFrame):
+ messages = frame.messages
+ context = OpenAILLMContext.from_messages(messages)
+
+ if context:
+ try:
+ # Get the latest user message to use as a query for memory retrieval
+ context_messages = context.get_messages()
+ latest_user_message = None
+
+ for message in reversed(context_messages):
+ if message.get("role") == "user" and isinstance(message.get("content"), str):
+ latest_user_message = message.get("content")
+ break
+
+ if latest_user_message:
+ # Enhance context with memories before passing it downstream
+ self._enhance_context_with_memories(context, latest_user_message)
+ # Store the conversation in Mem0. Only call this when user message is detected
+ self._store_messages(context_messages)
+
+ # If we received an LLMMessagesFrame, create a new one with the enhanced messages
+ if messages is not None:
+ await self.push_frame(LLMMessagesFrame(context.get_messages()))
+ else:
+ # Otherwise, pass the enhanced context frame downstream
+ await self.push_frame(frame)
+ except Exception as e:
+ logger.error(f"Error processing with Mem0: {str(e)}")
+ await self.push_frame(ErrorFrame(f"Error processing with Mem0: {str(e)}"))
+ await self.push_frame(frame) # Still pass the original frame through
+ else:
+ # For non-context frames, just pass them through
+ await self.push_frame(frame, direction)