Show HN: Index – new SOTA Open Source browser agent

Summary

Index Index is the SOTA open-source browser agent for autonomously executing complex tasks on the web. Powered by reasoning LLMs with vision capabilities. Gemini 2.5 Pro (really fast and accurate) Claude 3.7 Sonnet with extended thinking (reliable and accurate) OpenAI o4-mini (depending on the reasoning effort, provides good balance between speed, cost and accuracy) Gemini 2.5 Flash (really fast, cheap, and good for less complex tasks) Powered by reasoning LLMs with vision capabilities. pip install lmnr-index and use it in your project and use it in your project index run to run the agent in the interactive CLI to run the agent in the interactive CLI Index is also available as a serverless API. Index is also available as a serverless API. You can also try out Index via Chat UI. You can also try out Index via Chat UI. 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. local_agent_spreadsheet_demo.mp4 Documentation Check out full documentation here Index API The easiest way to use Index in production is via the serverless API. Index API manages remote browser sessions, agent infrastructure and browser observability. To get started, sign up and create project API key. Read the docs to learn more. Install Laminar pip install lmnr Use Index via API from lmnr import Laminar , AsyncLaminarClient import asyncio # you can also set LMNR_PROJECT_API_KEY environment variable # Initialize tracing Laminar . initialize ( project_api_key = "your_api_key" ) # Initialize the client client = AsyncLaminarClient ( project_api_key = "your_api_key" ) async def main (): response = await client . agent . run ( prompt = "Navigate to news.ycombinator.com, find a post about AI, and summarize it" ) print ( response . result ) if __name__ == "__main__" : asyncio . run ( main ()) Local Quick Start Install dependencies pip install lmnr-index # I...