Should you have a look at the previous 1 yr, the looking sport has modified drastically. It began with Perplexity and Co-pilot providing extra detailed and customized solutions to look queries, and bought amplified when ChatGPT added the net search possibility in its interface. Quick ahead to immediately, all LLMs, be it Grok, Qwen, DeepSeek, kimi, and many others., each mannequin affords this selection to the customers.
What does it imply? Nicely, customers get extra correct data for his or her queries with out going by 100 webpages to seek out the specified solutions. As customers of the web, all of us have the facility to avoid wasting time and get quicker solutions in fractions of a second now. You may say it’s the subsequent stage of the knowledge revolution. DeepResearch was one other step on this route, permitting customers to conduct multi-step, source-grounded exploration of matters with out leaping throughout tabs or dropping context.
Taking the search sport one stage up is a brand new looking agent, Fellou. Claiming to be the world’s first agentic browser, this device takes our search sport to a brand new stage altogether. Let’s attempt it out and discover how it’s higher than Google and different looking platforms!
What’s Fellou?
Fellou is a brand new sort of internet browser that works like a useful assistant. As an alternative of clicking round your self, you possibly can simply inform it what you need in regular language. It will probably:
- Search the web for you
- Create studies from what it finds
- Work throughout completely different web sites without delay
- Deal with personal web sites securely
You don’t have to preserve switching between tabs or typing all the things manually. Fellou understands what you’re asking and does the looking give you the results you want. It’s made for anybody who desires to avoid wasting time on-line – whether or not you’re doing analysis, work duties, or simply on a regular basis looking.

Key Options
- Sensible Automation: Does complicated on-line duties for you with only a few directions, like researching matters or creating studies.
- Works For You: Acts like your on-line helper by looking out web sites, summarizing data, and organizing what it finds.
- Background Working: Will get issues carried out in a separate window so it doesn’t interrupt what you’re doing.
- Handles Non-public Websites: Can work on web sites the place it’s worthwhile to log in, protecting your passwords protected.
- Timeline Reminiscence: Permits you to return to earlier duties or searches anytime.
- Works Throughout Apps: Can transfer data between completely different web sites and packages simply.
- A number of Pages View: Exhibits a number of web sites facet by facet, nice for evaluating data.
- Makes Studies: Creates detailed paperwork out of your on-line analysis by easy dialog.
- Customized Workflows: Permits you to construct your personal automated processes utilizing on a regular basis language.
- Protects Privateness: Doesn’t observe or report your actions – retains your data personal.
Additionally Learn: Prime 10 AI Search Engines to Use in 2025
How you can Entry Fellou?
You may obtain Fellou straight from their web site, however the present launch is just out there for Mac OS. Right here’s the way to get began:
- Verify Your Mac Chip Sort: Click on the Apple menu within the high left nook of your display screen and choose “About This Mac.” Underneath “Chip,” test whether or not it says “Apple” (for Apple Silicon) or “Intel.”
- Obtain the Matching Model
- In case your Mac has an Apple chip, click on “Apple model” to obtain.
- In case your Mac has an Intel chip, click on “Intel model” to obtain.
- Home windows Help: Fellou is presently not out there for Home windows, however it’s coming quickly.
For extra updates, checkout this web page.
5 Usecases of Fellou You Can’t Miss
On this part, I’m going to take you thru 10 examples of Fellou. These are laregly based mostly on my understanding, you’ll find many extra right here.
Product Hunt to Notion
Question: “Add names and intros of the highest 8 Product Hunt merchandise to the open Notion web page.“
Fellou robotically navigates Product Hunt to assemble the highest 8 trending merchandise and their descriptions, then opens a Notion web page and pastes every product’s title and intro. The video exhibits Fellou seamlessly transferring data between platforms, creating an inventory of Product Hunt launches in Notion (hands-free).
This function may be in contrast with OpenAI’s operator. To know extra about it, learn our detailed weblog on OpenAI’s Operator.
Analysis & Visible Report (Recruitment Market)
Question: “Analyze LinkedIn job descriptions for AI Product Supervisor roles, specializing in expertise, expertise, and hiring developments.”
Fellou conducts a deep dive throughout a number of platforms to analysis the job market. Within the video, it performs parallel searches on websites like LinkedIn and Quora for AI recruitment developments, gathers knowledge (expertise demand, salaries, and many others.), then generates a elegant analysis report. The result is a visible report on the expertise recruitment market, compiled robotically from multi-source findings, able to share or current.
Eve although OpenAI, Perplexity and Grok affords the choice to do Deep Analysis, the outcome proven right here is quiet impressing in comparison with what we get on different platforms.
Add GPU to Cart (Amazon Buying)
Question: “Search RTX 4060 on Amazon, filter by availability and ranking, and add the top-rated one to cart.“
This state of affairs highlights e-commerce automation. Fellou goes to Amazon and searches for “RTX 4060” graphics playing cards. The video exhibits it filtering the outcomes by availability and buyer ranking, choosing the top-rated GPU from the listing, and including it to the cart. All the comparability and buying prep – usually involving a number of clicks and selections is dealt with by Fellou robotically, performing as a private procuring assistant for tech merchandise.
This function is once more similar to OpenAI operator and the upcoming Perplexity comet.
Multi-Agent Analysis Papers
Question: “Generate a report of Multi-agent papers on arXiv since September 2024, together with names, introductions, and hyperlinks.“
Fellou automates the method of gathering and organizing the most recent multi-agent analysis papers. On this demonstration, it navigates to educational databases, searches for latest publications on multi-agent programs, and compiles the findings right into a structured format. This streamlines the analysis course of, permitting customers to remain up to date with minimal effort.

Discover full report right here.
Inventory Evaluation
Question: “Acquire the most recent NASDAQ knowledge on Yahoo Finance, together with value adjustments, market capitalization, buying and selling quantity of main shares, analyze the info and generate visualization studies“
Fellou automates complete inventory evaluation by navigating to monetary platforms, extracting key metrics like P/E ratios and earnings studies, and compiling them right into a structured report. This allows customers to rapidly assess inventory efficiency and make knowledgeable funding selections with out handbook knowledge gathering.
Fellou vs Manus vs Perplexity vs Claude
Immediate: “Summarize probably the most praised and most criticized options of the Sony WH-1000XM5 from Reddit, YouTube, and Amazon.”
Output:
Mannequin
Knowledge Quantity
Construction & Readability
Insights & Quotes
Visuals / Charts
Actionable Recommendation
Fellou
Sure – 500+ feedback
Structured: overview to suggestions
Included quotes, tags, competitor mentions
Bar charts exhibiting sentiment themes
Detailed shopping for steerage (e.g., XM5 vs XM4)
Perplexity
Minimal aggregation
Flat and unlayered
No quotes or insights
None
No suggestions
Manus
Fundamental itemizing solely
Easy professionals/cons listing
No quotes or references
None
Lacks steerage
Claude
Sparse information
Unstructured
No particular insights
None
Very restricted assist
Be aware: The video has been taken type this X account.
Fellou Benchmarks and Efficiency
Deep Search

Fellou constantly outperforms all others, topping each class with scores starting from 4.27 to 4.56. Manus follows intently, significantly in readability (4.30) and readability (4.25). OpenAI DeepResearch performs steadily in accuracy and depth however trails in readability. Perplexity delivers common outcomes throughout the board, whereas Claude lags considerably, particularly in depth (3.30). Total, Fellou stands out as probably the most well-rounded and efficient performer.
Deep Motion
The Deep Motion Workflow, constructed on the Eko Framework, is designed to automate complicated duties considerably quicker and smarter than conventional browser-based strategies. At its core, Eko combines structured workflow era with steady studying, enabling adaptive efficiency over time. When a person submits a question, Eko doesn’t simply execute—it learns, optimizes, and improves. Right here’s how the system works:
- Consumer question enters the Eko Framework, which generates the suitable workflow trajectory.
- Experiential learner evaluates previous actions utilizing suggestions from the agent choose, which labels actions as right or incorrect.
- Experiential pool shops previous workflows and outcomes, permitting the system to drag in related expertise utilizing Exp RAG (retrieval-augmented era).
- Studying and inference occur concurrently, permitting Eko to refine its actions in real-time.
This structure results in main efficiency beneficial properties. As proven within the latency comparability:
- Eko (Ours): 85.0 seconds
- Browser-use: 240.5 seconds
Eko delivers workflows 1.8× quicker than standard strategies, due to its feedback-driven loop and experience-aware design. The result’s automation that’s not solely quicker, however smarter with each job.

Conclusion
The best way we search and work together with data is about to vary dramatically. Over the previous yr, we’ve seen a shift from static outcomes to dynamic, customized responses and now to completely autonomous looking brokers like Fellou. This isn’t only a efficiency improve; it’s a redefinition of how we entry data. Quickly, looking will now not imply sifting by tabs, it’ll imply collaborating with clever brokers that perceive intent, automate duties, and ship insights in actual time.
What are your ideas on this? Let me know within the remark part under!
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