AG2B

Important

Full documentation lives at ag2b.ai.

AG2B (Agent to Browser) is a client-side agentic runtime.

The agent runs where your app does — in the browser. The server's role can range from a thin LLM proxy to a layer that extends the client runtime.

Tip

Try the live demo

What you get

Anything the user can do in your UI, the LLM can do too.

• Agent primitives — Tools and scopes, the building blocks of every agent.
• Reuse your code — Store actions, fetch wrappers, click handlers become tools.
• Live context — Scopes feed your current state into every turn and gates the tools.
• End-to-end typed — Zod validates at runtime and types your handler.
• Own the loop — Observe or intercept every step: human-in-the-loop approvals, guardrails, retries, RAG, logging — all on the client.
• Provider-agnostic — Swap LLM providers in one line, built-in or bring your own.
• Extend everything — Plugins reshape the runtime — the WebMCP plugin is one such connector.

Framework bindings

• React — Headless hooks @ag2b/react to build your own chat UI, or a drop-in chat panel @ag2b/react-chat.
• Vue — Coming soon.

Quickstart

Install

npm i @ag2b/core zod

Writing your first agent

import { Agent, OpenAiProvider, Scope, Tool } from '@ag2b/core';
import { z } from 'zod/v4';

const setBackground = new Tool({
  name: 'setBackground',
  description: 'Change the page background color.',
  parameters: z.object({ color: z.string() }),
  handler: ({ color }) => {
    document.body.style.backgroundColor = color;
  },
});

const agent = new Agent({
  provider: new OpenAiProvider({ baseURL: '/api/llm' }),
});

agent.scopes.register(new Scope({ name: 'appearance', tools: [setBackground] }));

await agent.chat('Make the page feel like a sunset.');
// → the LLM picks a color, the tool runs, the page changes.

License

MIT