atlas-agents
v0.1.0
Published
Modular avatar + chat + speech packages for agent experiences
Downloads
15
Readme
Atlas Agents
Modular packages for building AI agent experiences with 3D avatars, chat, and speech. Extracted from 3dchat as standalone, composable npm packages.
Packages
@atlas-agents/types Shared types, EventBus, AgentMessage, protocol adapter interfaces
@atlas-agents/speech-stt Web Speech API + Whisper (Groq) fallback
@atlas-agents/speech-tts Edge TTS + browser fallback + viseme generation
@atlas-agents/avatar-core Headless VRM loading, animations, lip sync (no React)
@atlas-agents/avatar-react React component wrapping avatar-core (R3F)
@atlas-agents/chat-ui Props-driven React chat interface
@atlas-agents/agent-chat-widget Composed widget + AI + 6 protocol adaptersDependency Graph
types
├── speech-stt
├── speech-tts
├── avatar-core
├── chat-ui
│
└── avatar-react (avatar-core)
│
└── agent-chat-widget (all above)Quick Start
npm install
npm run build # builds all 7 packages via turborepoFull Widget (one line)
import { AgentChatWidget } from '@atlas-agents/agent-chat-widget';
<AgentChatWidget
config={{
agentId: 'my-agent',
avatar: {
modelUrl: '/model/robot.vrm',
defaultAnimation: 'modelPose',
animationBasePath: '/animations/',
},
ai: {
provider: 'openrouter',
apiKey: 'sk-or-...',
model: 'openai/gpt-4.1-mini',
systemPrompt: 'You are a helpful assistant.',
},
speech: {
tts: { provider: 'edge-tts', voice: 'en-US-AriaNeural' },
stt: { provider: 'web-speech' },
},
theme: 'dark',
}}
onMessage={(msg) => console.log(msg)}
onAnimationTrigger={(anims) => console.log(anims)}
/>Individual Packages
Use packages independently for custom composition:
import { STTService } from '@atlas-agents/speech-stt';
import { TTSService } from '@atlas-agents/speech-tts';
const stt = new STTService({ provider: 'web-speech' });
const tts = new TTSService({ provider: 'edge-tts', voice: 'en-US-GuyNeural' });
stt.on('stt:final-transcript', async ({ text }) => {
const response = await myAIService.chat(text);
tts.speak(response);
});
stt.start();3D Avatar (React)
import { AvatarModel } from '@atlas-agents/avatar-react';
<AvatarModel
modelUrl="/model/robot.vrm"
currentAnimation="greeting"
animationSpeed={1.0}
animationBasePath="/animations/"
enableOrbitControls
enableShadows
onModelLoaded={(vrm) => console.log('Loaded', vrm)}
onAnimationStart={(name) => console.log('Playing', name)}
ref={avatarRef}
/>Chat UI (React)
import { ChatContainer } from '@atlas-agents/chat-ui';
<ChatContainer
messages={messages}
isProcessing={false}
isSpeaking={false}
isListening={false}
isMuted={false}
currentAnimation="idle"
onSendMessage={(text) => handleSend(text)}
onMicToggle={() => toggleMic()}
onStopSpeaking={() => stopTTS()}
onMuteToggle={() => toggleMute()}
onNewChat={() => clearChat()}
theme="dark"
/>Headless Avatar Engine (no React)
import { AvatarEngine } from '@atlas-agents/avatar-core';
const engine = new AvatarEngine({ animationBasePath: '/animations/' });
await engine.loadModel('/model/robot.vrm');
engine.playAnimation('greeting');
engine.applyViseme('aa', 1.0);
engine.on('avatar:animation-started', ({ name }) => console.log(name));
// Call in your render loop
function animate(dt: number) {
engine.update(dt);
requestAnimationFrame(animate);
}Protocol Adapters
The widget includes bidirectional adapters for 6 agent protocols. Each implements ProtocolAdapter<TIn, TOut> with fromProtocol / toProtocol / fromHistory / toHistory.
| Adapter | Protocol | Format |
|---------|----------|--------|
| A2AAdapter | Google Agent-to-Agent | JSON-RPC 2.0, Tasks/Messages/Artifacts |
| MCPAdapter | Anthropic MCP | JSON-RPC 2.0, Tools/Resources/Prompts |
| VercelAIAdapter | Vercel AI SDK | SSE streaming, useChat, UIMessage |
| LangChainAdapter | LangChain/LangGraph | HumanMessage/AIMessage, /invoke /stream |
| MSAgentAdapter | Microsoft Agent Framework | ChatMessageContent, AgentChannel |
| A2UIAdapter | Agent-to-UI | createSurface/updateComponents |
import { A2AAdapter, MCPAdapter } from '@atlas-agents/agent-chat-widget';
import { createAgentMessage } from '@atlas-agents/types';
const a2a = new A2AAdapter();
const mcp = new MCPAdapter();
// Convert A2A message to universal format, then to MCP
const universal = a2a.fromProtocol(inboundA2AMessage);
const mcpMessage = mcp.toProtocol(universal);Architecture
All inter-package communication flows through a typed EventBus<T> defined in @atlas-agents/types. No package directly imports another package's state.
User speaks -> [STT] emits 'stt:final-transcript'
-> [Widget Orchestrator] calls AI -> emits 'widget:ai-response-chunk'
-> [Chat UI] displays message
-> [TTS] synthesizes audio -> emits 'tts:synthesis-complete' with visemes
-> [Avatar Core] applies lip sync
-> [Animation Judge] -> emits 'widget:animation-judgment'
-> [Avatar Core] plays animationsEvery package accepts API keys through constructor config. No import.meta.env references. No Zustand or global store dependencies (except agent-chat-widget's internal state).
Examples
basic-chat
Minimal integration: 3D avatar + chat widget side by side.
cd examples/basic-chat
npm run dev # http://localhost:3100agents-of-empires
Multi-agent game demo with 4 faction agents, each with unique personality and voice. Click an agent card to open their chat.
cd examples/agents-of-empires
npm run dev # http://localhost:3200Development
npm install # install all workspace dependencies
npm run build # build all packages (turborepo)
npm run dev # watch mode for all packages
npm run test # run tests
npm run clean # remove all dist/ and node_modules/Adding a New Package
- Create
packages/my-package/withpackage.json,vite.config.ts,tsconfig.json,src/index.ts - Use
"@atlas-agents/types": "*"for workspace dependencies (npm syntax, not pnpm) - Turborepo will automatically include it in the build pipeline via
^build
Build Output
Each package produces ES module + CommonJS bundles with TypeScript declarations using Vite library mode:
packages/*/dist/
*.es.js # ES module
*.cjs.js # CommonJS
index.d.ts # TypeScript declarationsLicense
MIT
