Framework Comparison

Viber vs. Other Frameworks

Feature Comparison

Feature	Viber	LangChain	AutoGen	CrewAI
Language	TypeScript	Python/JS	Python	Python
Streaming	Native	Partial	Limited	Limited
React/Svelte	Built-in	Community	None	None
Tool Schema	Zod	Pydantic	Custom	Pydantic
Multi-Agent	✓	✓	✓	✓
Type Safety	Full	Partial	Partial	Partial

When to Choose Viber

Choose Viber when you need:

🎯 TypeScript-first development with full type safety
⚡ Real-time streaming with React or Svelte
🔧 Zod-based tool schemas for runtime validation
📦 Lightweight footprint without heavy dependencies
🎨 UI framework integration out of the box

Consider alternatives when:

You’re working in a Python-only environment
You need extensive pre-built agent chains
You require specific enterprise integrations

Philosophy Differences

Viber: Composable Primitives

// Viber emphasizes composition
const agent = new Agent({ tools: [myTool] });
const result = await agent.streamText({ messages });

LangChain: Chain-Based

# LangChain uses chains and abstractions
chain = LLMChain(llm=llm, prompt=prompt)
result = chain.run(input)

AutoGen: Conversation-Centric

# AutoGen focuses on agent conversations
agent.initiate_chat(recipient, message)

Migration Guides

From LangChain

// LangChain (Python)
// tool = StructuredTool.from_function(func, args_schema=Schema)

// Viber
const tool = tool({
  name: 'my_tool',
  parameters: z.object({ input: z.string() }),
  execute: async (params) => { /* ... */ },
});

From Vercel AI SDK

Viber builds on top of the Vercel AI SDK patterns:

// Vercel AI SDK
import { streamText } from 'ai';

// Viber (compatible API)
import { streamText } from 'viber';