<a href="https://github.com/lmnr-ai/index"></a> <a href="https://www.ycombinator.com/companies/laminar-ai"></a> <a href="https://x.com/lmnrai"></a> <a href="https://discord.gg/nNFUUDAKub"> </a>

<picture> <source media="(prefers-color-scheme: dark)" srcset="./static/logo_dark.png"> <source media="(prefers-color-scheme: light)" srcset="./static/logo_light.png"> <img alt="Laminar logo" src="./static/logo_light.png"> </picture>

Index

Index is a state-of-the-art open-source browser agent that autonomously executes complex web tasks. It turns any website into an accessible API and can be seamlessly integrated with just a few lines of code.

• [x] Powered by reasoning LLMs with vision capabilities.
  • [x] Gemini 2.5 Pro (really fast and accurate)
  • [x] Claude 3.7 Sonnet with extended thinking (reliable and accurate)
  • [x] OpenAI o4-mini (depending on the reasoning effort, provides good balance between speed, cost and accuracy)
  • [x] Gemini 2.5 Flash (really fast, cheap, and good for less complex tasks)
• [x] pip install lmnr-index and use it in your project
• [x] index run to run the agent in the interactive CLI
• [x] Supports structured output via Pydantic schemas for reliable data extraction.
• [x] Index is also available as a serverless API.
• [x] You can also try out Index via Chat UI.
• [x] Supports advanced browser agent observability powered by open-source platform Laminar.

prompt: go to ycombinator.com. summarize first 3 companies in the W25 batch and make new spreadsheet in google sheets.

https://github.com/user-attachments/assets/2b46ee20-81b6-4188-92fb-4d97fe0b3d6a

Documentation

Check out full documentation here

Quickstart

Install dependencies

pip install lmnr-index 'lmnr[all]'

# Install playwright
playwright install chromium

Setup model API keys

Setup your model API keys in .env file in your project root:

GEMINI_API_KEY=
ANTHROPIC_API_KEY=
OPENAI_API_KEY=
# Optional, to trace the agent's actions and record browser session
LMNR_PROJECT_API_KEY=

Run Index with code

import asyncio
from index import Agent, GeminiProvider
from pydantic import BaseModel
from lmnr import Laminar
import os

# to trace the agent's actions and record browser session
Laminar.initialize()

# Define Pydantic schema for structured output
class NewsSummary(BaseModel):
    title: str
    summary: str

async def main():

    llm = GeminiProvider(model="gemini-2.5...