If you look at the past 1 year, the browsing game has changed drastically. It all started with Perplexity and Co-pilot offering more detailed and personalized answers to search queries, and got amplified when ChatGPT added the web search option in its interface. Fast forward to today, all LLMs, be it Grok, Qwen, DeepSeek, kimi, etc., every model offers this option to the users.
What does it mean? Well, users get more accurate information for their queries without going through 100 webpages to find the desired answers. As users of the internet, we all have the power to save time and get faster answers in fractions of a second now. You can say it is the next level of the information revolution. DeepResearch was another step in this direction, allowing users to conduct multi-step, source-grounded exploration of topics without jumping across tabs or losing context.
Taking the search game one level up is a new browsing agent, Fellou. Claiming to be the world’s first agentic browser, this tool takes our search game to a new level altogether. Let’s try it out and find how it is better than Google and other browsing platforms!
What is Fellou?
Fellou is a new kind of web browser that works like a helpful assistant. Instead of clicking around yourself, you can just tell it what you want in normal language. It can:
- Search the internet for you
- Create reports from what it finds
- Work across different websites at once
- Handle private websites securely
You don’t need to keep switching between tabs or typing everything manually. Fellou understands what you’re asking and does the browsing work for you. It’s made for anyone who wants to save time online – whether you’re doing research, work tasks, or just everyday browsing.

Key Features
- Smart Automation: Does complex online tasks for you with just a few instructions, like researching topics or creating reports.
- Works For You: Acts like your online helper by searching websites, summarizing information, and organizing what it finds.
- Background Working: Gets things done in a separate window so it doesn’t interrupt what you’re doing.
- Handles Private Sites: Can work on websites where you need to log in, keeping your passwords safe.
- Timeline Memory: Lets you go back to previous tasks or searches anytime.
- Works Across Apps: Can move information between different websites and programs easily.
- Multiple Pages View: Shows several websites side by side, great for comparing information.
- Makes Reports: Creates detailed documents from your online research through simple conversation.
- Custom Workflows: Lets you build your own automated processes using everyday language.
- Protects Privacy: Doesn’t track or record your activities – keeps your information private.
Also Read: Top 10 AI Search Engines to Use in 2025
How to Access Fellou?
You can download Fellou directly from their website, but the current release is only available for Mac OS. Here’s how to get started:
- Check Your Mac Chip Type: Click the Apple menu in the top left corner of your screen and select “About This Mac.” Under “Chip,” check whether it says “Apple” (for Apple Silicon) or “Intel.”
- Download the Matching Version
- If your Mac has an Apple chip, click “Apple version” to download.
- If your Mac has an Intel chip, click “Intel version” to download.
- Windows Support: Fellou is currently not available for Windows, but it is coming soon.
For more updates, checkout this page.
5 Usecases of Fellou You Can’t Miss
In this section, I am going to take you through 10 examples of Fellou. These are laregly based on my understanding, you can find many more here.
Product Hunt to Notion
Query: “Add names and intros of the top 8 Product Hunt products to the open Notion page.“
Fellou automatically navigates Product Hunt to gather the top 8 trending products and their descriptions, then opens a Notion page and pastes each product’s name and intro. The video shows Fellou seamlessly transferring information between platforms, creating a list of Product Hunt launches in Notion (hands-free).
This feature can be compared with OpenAI’s operator. To know more about it, read our detailed blog on OpenAI’s Operator.
Research & Visual Report (Recruitment Market)
Query: “Analyze LinkedIn job descriptions for AI Product Manager roles, focusing on skills, experience, and hiring trends.”
Fellou conducts a deep dive across several platforms to research the job market. In the video, it performs parallel searches on sites like LinkedIn and Quora for AI recruitment trends, gathers data (skills demand, salaries, etc.), then generates a polished research report. The outcome is a visual report on the talent recruitment market, compiled automatically from multi-source findings, ready to share or present.
Eve though OpenAI, Perplexity and Grok offers the option to do Deep Research, the result shown here is quiet impressing compared to what we get on other platforms.
Add GPU to Cart (Amazon Shopping)
Query: “Search RTX 4060 on Amazon, filter by availability and rating, and add the top-rated one to cart.“
This scenario highlights e-commerce automation. Fellou goes to Amazon and searches for “RTX 4060” graphics cards. The video shows it filtering the results by availability and customer rating, selecting the top-rated GPU from the list, and adding it to the cart. The entire comparison and purchasing prep – normally involving multiple clicks and decisions is handled by Fellou automatically, acting as a personal shopping assistant for tech products.
This feature is again very similar to OpenAI operator and the upcoming Perplexity comet.
Multi-Agent Research Papers
Query: “Generate a report of Multi-agent papers on arXiv since September 2024, including names, introductions, and links.“
Fellou automates the process of gathering and organizing the latest multi-agent research papers. In this demonstration, it navigates to academic databases, searches for recent publications on multi-agent systems, and compiles the findings into a structured format. This streamlines the research process, allowing users to stay updated with minimal effort.

Stock Analysis
Query: “Collect the latest NASDAQ data on Yahoo Finance, including price changes, market capitalization, trading volume of major stocks, analyze the data and generate visualization reports“
Fellou automates comprehensive stock analysis by navigating to financial platforms, extracting key metrics like P/E ratios and earnings reports, and compiling them into a structured report. This enables users to quickly assess stock performance and make informed investment decisions without manual data gathering.
Fellou vs Manus vs Perplexity vs Claude
Prompt: “Summarize the most praised and most criticized features of the Sony WH-1000XM5 from Reddit, YouTube, and Amazon.”
Output:
Model
Data Volume
Structure & Clarity
Insights & Quotes
Visuals / Charts
Actionable Advice
Fellou
Yes – 500+ comments
Structured: overview to recommendations
Included quotes, tags, competitor mentions
Bar charts showing sentiment themes
Detailed buying guidance (e.g., XM5 vs XM4)
Perplexity
Minimal aggregation
Flat and unlayered
No quotes or insights
None
No recommendations
Manus
Basic listing only
Simple pros/cons list
No quotes or references
None
Lacks guidance
Claude
Sparse info
Unstructured
No specific insights
None
Very limited help
Note: The video has been taken form this X account.
Fellou Benchmarks and Performance
Deep Search

Fellou consistently outperforms all others, topping every category with scores ranging from 4.27 to 4.56. Manus follows closely, particularly in clarity (4.30) and readability (4.25). OpenAI DeepResearch performs steadily in accuracy and depth but trails in readability. Perplexity delivers average results across the board, while Claude lags significantly, especially in depth (3.30). Overall, Fellou stands out as the most well-rounded and effective performer.
Deep Action
The Deep Action Workflow, built on the Eko Framework, is designed to automate complex tasks significantly faster and smarter than traditional browser-based methods. At its core, Eko combines structured workflow generation with continuous learning, enabling adaptive performance over time. When a user submits a query, Eko doesn’t just execute—it learns, optimizes, and improves. Here’s how the system works:
- User query enters the Eko Framework, which generates the appropriate workflow trajectory.
- Experiential learner evaluates past actions using feedback from the agent judge, which labels actions as correct or incorrect.
- Experiential pool stores past workflows and outcomes, allowing the system to pull in relevant experience using Exp RAG (retrieval-augmented generation).
- Learning and inference happen simultaneously, allowing Eko to refine its actions in real-time.
This architecture leads to major performance gains. As shown in the latency comparison:
- Eko (Ours): 85.0 seconds
- Browser-use: 240.5 seconds
Eko delivers workflows 1.8× faster than conventional methods, thanks to its feedback-driven loop and experience-aware design. The result is automation that’s not only faster, but smarter with every task.

Conclusion
The way we search and interact with information is about to change dramatically. Over the past year, we’ve seen a shift from static results to dynamic, personalized responses and now to fully autonomous browsing agents like Fellou. This isn’t just a performance upgrade; it’s a redefinition of how we access knowledge. Soon, browsing will no longer mean sifting through tabs, it’ll mean collaborating with intelligent agents that understand intent, automate tasks, and deliver insights in real time.
What are your thoughts on this? Let me know in the comment section below!
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