Robert and Din from Laminar here. We created a new type of observability, which enabled us to build the SOTA open-source browser agent.

The Problem

Browser agents are powerful but notoriously difficult to develop and debug. When your agent fails, traditional traces just show a wall of text logs without context. You can't see what the agent was looking at when it made decisions, why it chose certain actions, or what exactly went wrong. It's like trying to debug a self-driving car without any camera footage – practically impossible.

This lack of proper observability tools has been the biggest barrier to building reliable browser agents.

The Solution

Laminar created the missing piece in browser agent development: complete visual context for every agent action and decision. Our platform records high-quality browser sessions and perfectly synchronizes them with agent traces. Now developers can:

1. See what the agent sees - Watch the complete visual journey of your agent as it navigates websites
2. Pinpoint exact failure points - Identify precisely where and why agents make mistakes
3. Debug with context - Understand agent decisions with full visual and trace context

Results

Using our own tools, we built Index - open-source browser agent that achieves 92% on WebVoyager benchmark, setting a new state of the art. Index can handle everything from research tasks to complex automations in apps like Google Sheets. In other words, we created a reliable API layer to any website that you can simply prompt with natural language.

Integrations

Laminar seamlessly integrates with AI browser frameworks like Stagehand and Browser Use - integration takes just 2 lines of code.

Ask

• Build better agents: Try Laminar today for your browser and AI agent development => https://lmnr.ai
• Explore our open source agent: Check out Index at github.com/lmnr-ai/index
• Dive into docs: Comprehensive guides at https://docs.lmnr.ai

We're looking for early adopters and feedback! Reach out to us at founders@lmnr.ai and join our discord.