Web browsing is on the cusp of a major transformation. Instead of us doing all the clicking, scrolling, and searching, new AI-powered browsers are emerging that promise to do much of the work for us. Fellou is one of the latest and most ambitious entrants – branding itself as the world’s first “agentic” browser. In this blog post, we’ll explore Fellou’s core features, how it works under the hood, what the user experience looks like, and where it excels or falls short. We’ll also examine how Fellou compares to other AI-assisted browsers like Arc, Perplexity, and Rabbit, and discuss broader trends shaping the future of AI browsers.

What is Fellou and Why Does It Matter?

Fellou is an AI-integrated web browser designed to be more than a passive tool – it acts as an autonomous digital assistant. In Fellou, you don’t just manually navigate page by page; you can delegate tasks to AI agents that “browse” and take actions on your behalfaiagent.marktechpost.comlinkedin.com. The idea is to turn the browser into an active collaborator that can think, plan, and execute workflows for you, rather than just display websites. This shift from a traditional browser to an “agentic” browser is significant because it can potentially save users enormous time on research, data gathering, and routine online tasksaiagent.marktechpost.com.

Fellou’s value proposition is clear: express what you need in plain language, and the browser will do the rest. For example, you could ask Fellou to “find the top EdTech startups funded in 2025 along with their investors” or “Summarize this blog post and turn it into a LinkedIn update.” Fellou will then autonomously search, read, and compile the information or perform the action without you clicking aroundmedium.com. It’s like having a smart co-pilot for the web that not only finds information but can also take actions (like filling forms, sending messages, or generating reports) as instructedmedium.com. In short, Fellou aims to “make your browser not just a window to the web, but an active partner in your work”aiagent.marktechpost.com.

Core Features and Functionality of Fellou

Fellou comes packed with features that blend standard browser capabilities with AI-driven automation. Some of its core features include:

• Deep Action and Agentic Search: Fellou’s hallmark feature is called “Deep Action.” This means the browser can deeply understand your request, perform multi-step searches, and organize information for you without constant promptsaiagent.marktechpost.com. It doesn’t just fetch one webpage – it can navigate across many sites to gather answers. Fellou will silently open multiple “shadow” browser tabs in the background to research a topic in parallel, even on sites that require login, and then synthesize the findingslinkedin.commedium.com. According to the developers, Fellou’s Agentic Deep Action search taps into thousands of data points and can outperform traditional search engines in finding intelligent answersmedium.com.
• Website Q&A and Summarization: Like some AI extensions, Fellou can analyze any webpage you have open and answer questions about it or summarize itmedium.com. For instance, you can open a long article and ask Fellou, “What’s the main point here?” and it will produce a concise summary. It can extract specific info, translate content, or even compare information across pages you tag – all through natural language queriesmedium.commedium.com.
• Automated Workflow Execution: Fellou truly shines in automating complex online tasks. Through plain-English commands, you can instruct it to perform sequences of actions. For example, “Check my last 3 emails and reply to the work-related ones with a template response” or “Find a recipe for lasagna and add the ingredients to my grocery cart” – tasks that involve navigating multiple pages or web apps – are within Fellou’s scopemedium.com. The browser will click, scroll, type, and interact with web elements on your behalf to accomplish the goalmedium.com. This is powered by Fellou’s ability to understand high-level instructions and break them down into step-by-step web actions. In essence, Fellou can act like a personal internet robot, handling things like composing emails, posting to social media, filling out forms, or executing search-and-compile tasks without you lifting a fingermedium.comaisharenet.com.
• Access to Private Sites Securely: A crucial feature is that Fellou works not only on public webpages but also on sites behind logins (e.g. your Gmail, LinkedIn, or any account-based service)aiagent.marktechpost.com. You can let it perform actions within your private accounts securely. Fellou runs on your device and uses your logged-in session, so it doesn’t need to steal or see your password; it just controls the browser as if you were doing it, thereby keeping credentials safeaiagent.marktechpost.com. For example, it could navigate your online banking or a private forum to retrieve information if you’ve logged in. This capability is a big leap, as most AI search tools are limited to public web content.
• Virtual “Shadow” Workspace: When Fellou’s agents are carrying out tasks, they do so in a shadow workspace – essentially background browser windows that you don’t have to monitor constantlyaiagent.marktechpost.com. This means the AI can open extra tabs or windows to work in, without cluttering your main browsing session. You can continue your regular work in the foreground while Fellou’s “digital elves” run tasks in the shadows. The results are then presented to you in a concise way (often as a visual report or a summary) once the task is completeaiagent.marktechpost.com. This design ensures the automation is non-intrusive – no more watching an AI agent type out steps on your main screen. Instead, Fellou quietly handles it in the background and returns with the outcome.
• Visual Reports and Output Compilation: Rather than just dumping raw text, Fellou emphasizes producing organized outputs. For instance, after a deep search, it can generate a report with headings, bullet points, and even charts or graphs if applicableanalyticsvidhya.com. In one benchmark example, Fellou compiled user reviews from Reddit, YouTube, and Amazon for a product and produced a structured report with quotes, sentiment bar charts, and detailed recommendations – far beyond what a standard search or chatbot would returnanalyticsvidhya.com. This report-generation ability is built-in, effectively automating the kind of work an analyst or researcher might do to synthesize information.
• Timeline and Memory: Fellou includes a Timeline feature that records each step of your browsing sessions and agent workflows. You can scroll back through this timeline and jump to any prior state or resultaiagent.marktechpost.com. This is very useful for multitasking and reviewing what the AI did – you’ll never “lose” a piece of information it found because you can always rewind the timeline to find it. The timeline makes it simple to pick up an earlier thread of research or to audit the AI’s actions if neededaiagent.marktechpost.com. It essentially serves as a memory for your browsing sessions, addressing the common problem of losing track of which tab had that key insight.
• Drag-and-Drop Commands: Fellou’s interface supports a novel way to issue commands: you can drag & drop elements or text onto the Fellou agent and it will interpret what to doaiagent.marktechpost.com. For example, dragging a image into the Fellou sidebar could prompt it to perform an image-based search or analysisaiagent.marktechpost.com. Dragging a block of text might trigger a summary or translation. This intuitive interaction lowers the barrier for asking the AI to do something – you don’t even need to type a prompt in some cases. Fellou “instantly understands your intent” when you drag something and will attempt to act on it appropriatelyfellou.ai.
• Groups, Spaces, and Split-View: As a productivity-oriented browser, Fellou offers some UI features to organize your work. Groups allow you to cluster related tabs or tasks for a project into a dedicated workspace within the browseraiagent.marktechpost.com. Spaces let you maintain separate profiles or contexts (like Work, Personal, Research, etc.) all in one window, so you can compartmentalize different browsing activities easilyaiagent.marktechpost.com. Additionally, Fellou supports Split View – viewing multiple pages side-by-side in one window for easy comparison or multitaskingaiagent.marktechpost.com. These are similar to features in modern productivity browsers (like Arc’s Spaces, or Vivaldi’s tab tiling), aimed at power users juggling many tasks.
• Privacy and Security Focus: Given the level of autonomy Fellou has, security is critical. The browser creators claim they do not track your behavior and use “military-grade” encryption for dataaisharenet.comaisharenet.com. All agent actions occur locally on your machine, meaning your private data stays with you. By using your own logins and sessions for accessing private sites, Fellou avoids transmitting sensitive credentials elsewhereaiagent.marktechpost.com. Essentially, Fellou tries to give you the convenience of a cloud AI service with the security of a local app. (Of course, users still need to trust the application itself, but it’s good to see privacy being emphasized as a feature.)

Fellou’s concept merges three domains – the web browser, an AI agent, and workflow automation. The Venn diagram above (from Fellou’s documentation) illustrates how it sits at the intersection of browsing (navigating and viewing content), agent intelligence (understanding intent, planning, and “thinking”), and automation (taking actions to execute tasks). This unique combination enables features like Deep Search and autonomous web interactions that distinguish Fellou from a standard browser or a simple chatbot assistant.medium.comaisharenet.com

Under the Hood: How Fellou Works (Technical Aspects)

Fellou’s ability to “think and act” for the user is powered by a sophisticated technical architecture. At its core is the Eko Framework, which is the engine enabling Fellou’s agentic behavior. Here are some key technical aspects:

• Hybrid AI Models: Fellou isn’t tied to a single large language model – it leverages multiple AI systems (including Anthropic’s Claude 3.5 and OpenAI’s models) as part of its intelligenceaiagent.marktechpost.comaiagent.marktechpost.com. This multi-model approach means Fellou can use different models for different tasks (e.g., one model might be better at dialogue, another at code execution or reasoning). By incorporating various AI backends, Fellou aims to be both smart and pragmatic – picking the right tool for the job when automating a task.
• Deep Action via Eko Workflow: When you give Fellou a query or command, it is processed through the Eko workflow engine. The Eko framework translates natural language instructions into a structured sequence of browser and system actionsanalyticsvidhya.com. Think of Eko as the “brains” that plan out how to fulfill your request. It generates a workflow trajectory, which is essentially a step-by-step game plan of what to click, where to navigate, and how to gather dataanalyticsvidhya.com. This is similar to how an experienced human user might break down a task (e.g., “First search Google for X, then open these top 3 results, then copy this info to a document”). The difference is Eko does it in seconds and hands the plan to the AI agents to execute.
• Experiential Learning Loop: Uniquely, Fellou’s Eko system has a feedback mechanism to improve over time. As agents execute actions, an “Agent Judge” component evaluates whether each action had the intended effect (almost like a human overseeing the agent)analyticsvidhya.com. There’s an Experiential Learner module that keeps track of past actions and outcomes in an Experiential Pool (a memory bank of previous workflows)analyticsvidhya.com. If an action was labeled “wrong” or suboptimal by the agent judge, Eko learns from that. Over many uses, Fellou can supposedly refine its strategies by retrieving relevant past experiences (they describe this as experience-based retrieval augmented generation)analyticsvidhya.com. In simpler terms, Fellou is designed to get better at automating tasks the more it attempts them, learning from mistakes and successes. This continuous learning approach is quite cutting-edge for a browser.
• Parallel Browsing and Multi-Agent Orchestration: Fellou’s agents can spawn multiple headless browser instances (the “shadow browsers”) to work concurrentlymedium.com. For example, if you ask a complex research question, Fellou might send one agent to scour LinkedIn, another to search Reddit, and another to query news sites, all at oncemedium.com. This parallelism drastically speeds up information gathering. The results from each agent are then combined. Under the hood, Fellou manages these multiple agents and keeps them in sync with your overarching query. The timeline feature also helps coordinate this by logging what each agent did.
• Integration with OS and Apps: While Fellou is primarily a web browser, its architecture hints at interacting with the local operating system as well. The feature list includes “Local Interaction” – meaning Fellou’s agents could potentially perform OS-level tasks like file management or launching external appsaisharenet.com. This blurs the line between browser automation and desktop automation. (In the current version, this might be limited or experimental, but it shows the intended direction: Fellou might one day handle tasks like saving files to specific folders, opening your calendar app, etc., as part of a workflow.)
• Developer Extensibility: The Eko framework isn’t just internal – advanced users or developers can design their own agent workflows using natural language or even JavaScript codeaiagent.marktechpost.comaisharenet.com. This means Fellou could be a platform for custom “browser apps.” For example, a company could script an agent to log into a dashboard and retrieve analytics data every morning. Fellou would let them deploy that easily, accessible through a simple English command. By opening up the agent framework, Fellou invites a community to build specialized automations. In fact, it’s mentioned that Fellou supports using or sharing “domain-specific AI agents” (called “intelligent bodies” in one source) which developers can create via Ekoaisharenet.com. This could lead to a marketplace of Fellou agent plugins in the future.
• Performance Benchmarks: In a test comparing Fellou’s Deep Search to other AI assistants, Fellou came out on top in multiple categories – accuracy of information, clarity of answers, depth of insight, and readability of outputanalyticsvidhya.com. It scored roughly 4.3–4.5 out of 5 on these metrics, beating competitors like OpenAI’s DeepResearch, Perplexity, and Claude which scored in the 3.7–4.1 rangeanalyticsvidhya.com. Fellou’s ability to aggregate and present information gave it an edge in structured output and actionable resultsanalyticsvidhya.com. On the speed front, Fellou’s team claims that an agent using Eko workflows can accomplish tasks 1.8× faster than a person doing the same in a normal browseranalyticsvidhya.com. One example showed an automated workflow taking ~85 seconds via Fellou’s agent, versus ~240 seconds when done manually through a browser (this was likely a complex multi-step task)analyticsvidhya.com. The gain comes from parallelism and not getting “distracted” – the agent doesn’t waste time. Over many queries, this time saved could be significant, though of course real-world performance will vary by task.

Technical architecture of Fellou’s Deep Action Workflow. On the left, a diagram shows how a user’s query enters the Eko framework, which plans a workflow. The system includes an Experiential Pool of past cases and an Experiential Learner that, together with an Agent Judge, continuously improve the action selection (correct vs. wrong actions)analyticsvidhya.com. On the right, a sample benchmark shows Fellou’s Eko completing a workflow in 85 seconds vs. 240.5 seconds in a traditional browser scenarioanalyticsvidhya.com. This highlights Fellou’s efficiency gains by automating and optimizing multi-step tasks.

User Experience and UI/UX Highlights

Despite its complex capabilities, Fellou is designed to be approachable for end-users. The interface of Fellou will feel familiar to anyone who’s used a modern browser – you have an address bar, tabs, etc. – but with extra controls for the AI features. Here are some UI/UX aspects to note:

• Chat and Command Interface: Fellou likely provides a sidebar or console where you interact with the AI (though this depends on the actual UI design). You can type a natural language command or question into this interface, similar to chatting with ChatGPT, and the AI will respond or act. The examples given (like “Create a promotional tweet from this page”) suggest there is a context-aware command inputmedium.com. The AI’s responses might appear as chat bubbles or as generated content (e.g., a draft email) ready for you to approve. Having a built-in chat box means you don’t need external extensions – the assistant lives natively in the browser UI.
• Drag-and-Drop Interaction: As mentioned, Fellou supports dragging content into the AI’s domainfellou.ai. The UI likely highlights droppable zones (perhaps an icon or a pane that says “Drop here to ask Fellou”). This is a very user-friendly innovation. Instead of figuring out how to prompt “Summarize this text”, you can just drag the text. For images, this could be even more powerful (e.g., drop an image to search for similar images or get a description). This feature shows how Fellou tries to make advanced functions feel like simple, intuitive gestures.
• Timeline View: The timeline is a visual history of your session. In the UI, this might appear as a horizontal timeline you can scrub, or a vertical list of past states. Each time the AI agent completes a step or when you navigate, a snapshot is recordedaiagent.marktechpost.com. Users can click on a prior snapshot to restore the browser to that point in time – effectively, a time-travel for your browser state. This is great for multitaskers: you might run an agent, then go do something else, and later scroll back to see what the agent did while you were away, without losing context. It’s also a safeguard – if an agent-driven action navigates away from a page you needed, you can find it in the timeline easily.
• Split Screen and Multitasking: Fellou’s UI can show multiple web pages side by side with Split Viewaiagent.marktechpost.com. This is beneficial when, say, comparing data the AI gathered on two different sites, or if you want to monitor an agent’s shadow browser while also browsing manually. The browser likely allows resizing these splits and dragging tabs into splits. Combined with the timeline and groups, Fellou is clearly targeting heavy users who have complex workflows (researchers, analysts, etc. who might normally have dozens of tabs and windows open).
• Groups and Spaces: In the interface, Groups may appear like tab groups or project folders. You might have a Group for “Project Alpha” containing all relevant tabs and agent results for that project. Spaces likely function like user profiles or workspaces – perhaps accessible via a sidebar or top menu to switch contexts (similar to how you can switch between profiles in Chrome, but more seamless). The benefit is to prevent intermixing, say, your personal social media tabs with your work research tabsaiagent.marktechpost.com. Fellou keeping them in one window with Spaces is a UX convenience.
• Notifications and Agent Feedback: When Fellou runs a background task, the user would need feedback when it’s done or if it needs input. Likely, Fellou provides notifications – e.g. “✅ Research completed. Click here to view the report.” Or if an agent hits a snag (like a captcha or an ambiguous step), it might prompt the user for guidance. Designing this feedback loop is tricky, but essential; the videos and early users likely discuss how transparent the agent’s actions are. From the timeline and shadow window concept, it seems Fellou leans toward non-intrusive transparency (it won’t pop up every action it takes, but you can delve into the timeline or shadow view to inspect if desired).
• Visual Design: Fellou’s branding and screenshots (from what we’ve seen) use a modern, minimal design. The logo and site have a purple/orange color scheme【54†】, and the reports shown have clean formattinganalyticsvidhya.com. Aesthetically, it appears to prioritize clarity – which is important if the browser is auto-generating content. We haven’t seen the exact in-app screenshots, but given its competition (Arc, etc.), one can expect a polished UI with a focus on productivity (perhaps a sidebar for the AI, and slick animations for dragging/dropping tasks).
• No Extensions Required: Unlike turning a normal browser into an AI-assisted one (where you’d install extensions or plug-ins), Fellou has these capabilities built-in nativelymedium.com. This reduces friction for the user – out of the box, the browser is ready to serve as your assistant. It also means all the features (like timeline, drag & drop, multi-agent browsing) are integrated tightly, providing a smoother experience than a patchwork of add-ons.

Overall, Fellou’s UX philosophy is to augment the user without overwhelming them. By hiding the busy work in shadow windows and providing easy ways to invoke powerful functions, it tries to feel like a natural extension of the user’s intent. There is, however, a learning curve: users must get used to describing tasks to an AI instead of doing them manually. For new users, it might feel strange at first to “ask your browser to do stuff” rather than click yourself. The onboarding and help (like examples of what you can ask) will play a big role in user adoption.

Strengths of Fellou

Fellou brings some clear advantages to the table:

• Significant Time Savings: For research-heavy tasks or repetitive workflows, Fellou can save hours. Early adopters report that agents can cut down multi-hour research processes into minutes by offloading the busy work to the AIlinkedin.com. Professionals like market analysts or social media managers could delegate info-gathering or content drafting and focus on reviewing results, dramatically increasing productivitylinkedin.com.
• Ability to Handle Complex, Multi-Step Operations: Unlike a single-turn Q&A bot, Fellou can carry out entire sequences of actions across websites. This is a step-change in capability. It’s not limited to just giving an answer – it can execute (e.g., log in somewhere, fetch data, then use that data somewhere else). This “agentic” autonomy sets Fellou apart from simpler assistants. It truly acts as your agent, which can be incredibly powerful for the right tasksaiagent.marktechpost.comaiagent.marktechpost.com.
• Works with Private Data: Fellou’s secure integration with private sites means your personal web apps are not off-limits to AI helpaiagent.marktechpost.com. Many of us have a lot of important information behind logins (emails, documents, databases). Fellou can tap into those on your behalf (with permission), something most other AI search tools can’t do due to privacy. This broadens the utility – e.g., Fellou could summarize your private Slack discussions or help you find a file in your cloud drive, tasks that normal search AIs wouldn’t handle.
• Maintains User Control and Context: Features like timeline and shadow mode ensure that the user stays in control. You can always see what agents did and undo if neededaiagent.marktechpost.comaiagent.marktechpost.com. Fellou doesn’t wrest control away; it’s more like a diligent assistant working next to you. This design builds trust – you can verify and refine the AI’s work rather than having it operate opaquely.
• Rich, Structured Outputs: As noted, Fellou tends to produce well-organized results (summaries with sources, reports with visuals). It even pulled in relevant quotes and comparisons in testsanalyticsvidhya.com, which is a strength for anyone who needs presentable output. Instead of just raw answers, you get actionable knowledge (e.g. a pros/cons list, a chart of sentiment, a step-by-step guide). This reduces the mental load on the user to parse the answer.
• Personalization and Learning: Over time, Fellou can learn user preferences and improve. The “Proactive Intelligence” feature indicates it will start predicting what you might need next, offering suggestions without being askedaisharenet.com. It could even build a personal knowledge base of facts you’ve gathered. This means the more you use Fellou, the more it could tailor results to your context, which is a big strength – eventually it might know that when you say “our product” you mean your company’s product, etc., streamlining interactions.
• Developer and Power-User Friendly: For those who want to push it further, Fellou is open to customization (via Eko scripts, sharing agent “apps,” etc.)aiagent.marktechpost.comaisharenet.com. This is a strength because it creates an ecosystem effect – users can benefit from automations others create. Fellou could potentially crowdsource the best workflows for common tasks (imagine a library of agents for “plan my travel itinerary” or “monitor these websites for updates”). This community-driven angle can accelerate innovation.
• Cross-Platform Availability: Unlike some new browsers that launch only on one OS, Fellou is available for both Mac and Windows (and perhaps other devices soon)aisharenet.com. This broad reach is good for users and gives it a larger potential user base. Also, it syncs data across devices, so your timeline and context travel with youaisharenet.com.

Limitations and Challenges of Fellou

As exciting as Fellou is, it’s not without limitations – both inherent challenges in the concept and early-stage issues:

• Learning Curve & Trust: Switching to an AI-driven browsing workflow requires a mental shift. Users must trust the AI with potentially sensitive actions (like sending an email) and also invest effort in describing tasks clearly. There’s a training period where you learn how to talk to Fellou effectively. If instructions are vague, the AI might misinterpret and do something unintended. This is a new mode of operation, and not everyone will be immediately comfortable saying “browser, do X for me” – it will take time and trust-building.
• Reliability of AI Actions: No AI is perfect. While Fellou’s agents are clever, they might still stumble on certain websites – for example, sites with heavy CAPTCHA protection, dynamic content that’s hard to parse, or complex multi-factor logins. There’s a risk of errors or incomplete actions, especially in edge cases the developers didn’t anticipate. Early users of similar agentic systems have reported hiccups like the AI clicking the wrong button or getting confused by unexpected page layouts. Fellou mitigates some of this with its learning loop, but in practice there will be times you need to intervene or correct it. As a safeguard, Fellou allows user monitoring (the shadow workspace can be observed) and intervention if the agent goes astrayaisharenet.com, but that reduces the hands-free benefit.
• Performance and Speed Constraints: While Fellou can parallelize tasks, the overall speed also depends on your system and internet. Running multiple headless browsers and AI model calls is resource-intensive. Users on older hardware might find Fellou making their system lag when it’s in full swing. There’s also the latency of AI processing – complex queries that involve a lot of reasoning or large volumes of text can still take noticeable time. For quick one-off searches, a traditional Google search might still beat Fellou in responsiveness. In short, Fellou shines in complex tasks, but for very simple queries it might feel like overkill (spinning up agents could actually be slower than just typing into Google, for instance). Balancing when to use agentic search vs. direct browsing might be something users have to learn.
• Early Access Bugs and Stability: Fellou only launched in May 2025 and is still in early access. It currently requires an invite code to use, indicating a controlled rolloutmedium.com. This often means the software is beta-quality – users and reviewers have likely encountered some bugs. Known issues could include occasional crashes, UI glitches, or agents freezing up. These are common in new complex software and hopefully will be ironed out, but as of now it’s not a fully mature product. For mission-critical work, one might hesitate to rely 100% on Fellou just yet. The “early days of agentic browsing” means there’s experimentation and rapid improvement happening, but also that it’s not battle-tested at scaleaiagent.marktechpost.com.
• Scope of Understanding: Fellou’s AI, while advanced, has a bounded understanding. If you ask something extremely open-ended or creative (outside factual or task-oriented domains), it might not perform better than any general AI chatbot. Its strength is in procedural and research tasks. It may also have limitations on the length or complexity of tasks it can handle in one go (to avoid the agent going on forever). There might be scenarios where Fellou politely says it cannot do something too broad or undefined. Users will have to learn to break down big goals into manageable chunks for the AI when needed.
• Competition and Integration: A somewhat meta limitation – as mainstream browsers (Chrome, Edge, Safari) integrate more AI features natively, users might be reluctant to switch entirely to Fellou. Many people rely on certain extensions or workflows in their current browsers. Fellou being a whole new browser means you might give up some of your accustomed ecosystem (at least for now, since it’s based on a fresh platform). This could limit adoption to power users and enthusiasts initially. Fellou will have to continually improve and differentiate to compete with tech giants adding AI to their own browsers.
• Ethical/Control Concerns: With great power comes great responsibility. An AI that can click and send things on your behalf raises some concerns. What if it accidentally sends the wrong email, or what if someone malicious somehow instructed it to do something you didn’t intend? Fellou presumably has safeguards (e.g., it likely won’t send an email or make a purchase without explicit confirmation). Nonetheless, letting an agent act freely in your accounts is a bit unnerving at first. Some users might limit it to read-only tasks until they gain confidence. The makers of Fellou will need to continuously ensure safety and user consent in agent actions to avoid mishaps.

It’s worth noting that many of these limitations are not unique to Fellou but are challenges for any agentic AI system. The team appears aware of them – for example, emphasizing the shadow mode and timeline to keep the user in controllinkedin.com. As Fellou evolves, we can expect improvements in stability, broader abilities, and user education to mitigate these issues.

Fellou vs. Other AI-Enabled Browsers (Arc, Perplexity, Rabbit, etc.)

How does Fellou stack up against other players in this space? Let’s compare it with a few notable ones:

Arc Browser (with Arc Max): Arc is a modern web browser known for its innovative UI and productivity features. Recently, Arc introduced “Arc Max” which integrates AI-powered tools (like an AI search and page summarization via OpenAI and others)perplexity.ai. Arc’s approach to AI is more about enhancing search and organization: for example, Arc uses Perplexity’s answer engine as its default search, letting users get direct answers in the address barperplexity.ai. Arc also offers quick link previews (hover to see a summary) and the ability to ask AI about the current page content. However, Arc does not automate multi-step tasks. It’s still a user-driven browser, just with some AI convenience features on the side. The focus of Arc is elegant design and helping users manage information, rather than an autonomous agent. In short, Arc’s AI = smarter search and assistive features, Fellou’s AI = autonomous action and workflows. Arc might appeal if you want a beautifully designed browser with light AI help, whereas Fellou is for heavy automation and hands-free operation.

Perplexity (Web and Mobile): Perplexity AI is primarily an AI answer engine – think of it as a supercharged search engine that gives you natural language answers with cited sources. Perplexity has a web interface and a mobile app (which even has a voice-enabled copilot). As a “browser”, Perplexity is limited: you type a question and it gives a concise answer with references, which you can click to read moreperplexity.ai. It recently partnered with Arc to provide Arc’s inline search answersperplexity.ai. Compared to Fellou, Perplexity doesn’t execute actions on external websites; it’s read-only. It excels at quick fact-finding and Q&A. For instance, if you ask “Who won the 2019 World Cup?”, Perplexity will answer and cite sources in seconds (where Fellou might overkill that by searching multiple sites in parallel). Also, Perplexity has no notion of personal logins or workflows – it only searches public info. So, Fellou is far more powerful for interactive and private tasks, whereas Perplexity is a fast, focused research tool for public knowledge. Perplexity’s interface is minimal and not a full browser replacement; you’d still need a separate browser to actually visit sites in depth. Fellou, being a full browser, covers that aspect too. In summary, Perplexity is great for instant answers, Fellou is aimed at comprehensive task completion.

Rabbit (Rabbit R1 and Rabbithole app): Rabbit is an AI company that took a hardware approach – their Rabbit R1 is a handheld AI device with a voice-first interface, designed to perform tasks across apps (like a standalone voice assistant gadget)theverge.comtheverge.com. The concept of Rabbit is similar in spirit to Fellou: you tell it what you want, and it uses a so-called “Large Action Model (LAM)” to operate apps for youtheverge.com. For example, Rabbit’s agent can coordinate actions on an Android phone – send messages, schedule Ubers, play music, etc. – all through voice commandstechradar.com. However, Rabbit’s current implementation is limited: as of 2024, it could only reliably connect to four specific services (Uber, DoorDash, Spotify, MidJourney) by opening them in a webview and automating inputtheverge.com. Early reviews of the Rabbit R1 device noted it was underwhelming and struggled to deliver on many promisestheverge.com. In comparison, Fellou is software-based and focused on web tasks, which might give it more flexibility and stability. One can think of Rabbit as aiming to be a cross-app voice assistant (the “Siri on steroids” idea), while Fellou is a specialized web assistant for research and online workflows. Rabbit is also moving away from relying purely on their device – they’ve been developing an Android app (codename Rabbithole) to bring their agent to smartphonestechradar.com. This indicates that the voice-first, hands-free experience Rabbit champions could eventually compete or merge with what AI browsers do. In the future, we might see voice control added to Fellou (imagine dictating a command to Fellou instead of typing it) – a space where Rabbit has expertise. For now, Fellou vs Rabbit: Fellou is more mature on web browsing tasks, Rabbit is exploring voice UX and mobile integration. They share the vision of not just summarizing info, but actually doing things (Rabbit’s tagline could be “don’t just get answers, get stuff done”), which aligns with Fellou’s missiontechradar.comtechradar.com.

Below is a comparison table highlighting differences between Fellou and these competitors:

Feature/Aspect	Fellou (Agentic Browser)	Arc Browser (with AI)	Perplexity AI	Rabbit AI
AI Capabilities	Autonomous agents that can search, click, and perform multi-step tasks on web pages and appsaiagent.marktechpost.commedium.com.	Integrated AI for search (Arc Max uses GPT-4/Claude for Q&A)perplexity.ai and page summaries; no autonomous actions.	AI answer engine with conversational search; provides direct answers with citationsperplexity.ai; no action-taking on websites.	Voice-driven AI assistant designed to execute actions on connected apps (e.g., send messages, order food)techradar.com; currently limited app integrationstheverge.com.
Level of Autonomy	High – can operate nearly hands-free for supported workflows (user oversight optional)linkedin.comaiagent.marktechpost.com.	Low – user must initiate searches or use features; AI won’t navigate on its own.	None – provides info, but user implements any action themselves.	Medium – aims for hands-free voice operation, but in practice limited by what apps it supports; still early-stagetheverge.com.
Interaction Modality	Text-based commands (chat interface) and drag-and-drop; future potential for voice.	GUI with keyboard/mouse; some voice reading via MacOS but not a conversational agent.	Text input (web or app) and voice input on mobile app; outputs text and web links.	Primarily voice commands (speak to the device or app); outputs via voice or phone actions.
Personal Data Access	Yes – can use logged-in sessions for email, social media, etc., securely on local deviceaiagent.marktechpost.com.	Limited – can sync your browsing data, but AI features don’t log into other sites on your behalf.	No – operates on public web data only (does not log into user accounts).	Yes – user logs into services through Rabbit’s app for the AI to control themtheverge.com (e.g., logging into Uber or Spotify inside Rabbit).
Output Style	Detailed multi-page reports, summaries with sources, or actions completed (e.g. email sent)analyticsvidhya.com.	Search results page with AI answer on top; or a tooltip summary on hover.	Direct concise answer with citations, and option to dig deeper; no multi-step output.	Task execution (e.g., message sent) and short voice/text confirmations; not focused on generating reports or long text.
User Experience Focus	Productivity & automation – replace manual browsing with agent workflows. Has timeline, groups, split-view for multitaskingaiagent.marktechpost.comaiagent.marktechpost.com.	Design & organization – a sleek UI to streamline manual browsing (split view, tidier tabs) with light AI assistance.	Q&A convenience – get information quickly in a conversational manner, then user moves on to normal browsing if needed.	Ubiquitous assistance – envisioned to be an AI you carry (or have on phone) that can handle daily digital chores via voice.
Maturity (2025)	Beta/Invite-only launch (early adopter stage, evolving fast).	Established (public release); AI features evolving but core browser is stable.	Established service (web and iOS app widely available).	Prototype/First-gen (hardware launched late 2024 with issuestheverge.com; shifting to software focus in 2025).
Notable Strength	Robust agent framework (Eko) with learning; breadth of automation across web; rich outputsanalyticsvidhya.comanalyticsvidhya.com.	Polished user interface; integrates well with existing workflows; backed by Browser Company’s ecosystem.	Speed and simplicity – no-frills factual answers; strong source citations (great for trust).	Hands-free voice UX; multi-app idea hints at future where AI spans across all smartphone functionstechradar.com.
Notable Weakness	Early-stage quirks; requires user to adapt to new interaction paradigm; heavy on system resources.	Lacks agentic automation – still fundamentally manual beyond searching.	Limited to being an info tool – cannot act on results or delve into private content.	Unproven reliability; very limited app compatibility so far; hardware approach had user experience issuestheverge.com.

Table: Comparing Fellou with Arc, Perplexity, and Rabbit on key aspects of AI browsing.

As shown above, Fellou distinguishes itself by its agentic, action-oriented design. Arc and Perplexity are more about enhancing the browsing/search experience without replacing user actions. Rabbit shares the autonomous philosophy but in a different context (mobile apps and voice). It’s worth mentioning there are other players too – for example, Microsoft’s Edge browser now has a built-in “Copilot” (powered by Bing Chat) that can summarize pages and answer questions, and Opera is experimenting with an AI named Aria integrated into the browser. But none of those mainstream browsers yet go as far as Fellou in letting the AI drive the entire process. Another notable competitor is Manus (an invite-only Chinese AI agent that can control a browser and even do things like drive a Tesla, according to some reports!). Manus is similar in concept to Fellou – a general AI agent that turns natural language into actions – but it’s a separate application or plugin, not a full browser replacement in the same waymanus.immedium.com. Early users of Manus also reported some instability issuestechradar.com, which underscores that any first-generation agentic system faces growing pains.

In the competitive landscape, Fellou appears to be one of the most comprehensive attempts at a “do-it-all” AI browser. If it succeeds, it could redefine expectations for what a web browser should do. Instead of being just a tool to access information, it becomes a partner that accomplishes objectives.

The Future of AI Browsers: Trends and Predictions

The emergence of Fellou and its peers is part of a larger trend towards AI-assisted web browsing. Here are some broader trends and what we can expect from next-generation AI browsers:

1. From Assistants to Autonomous Agents

We’re moving from simple assistants (like a sidebar chatbot that can answer questions) to true autonomous agents integrated in our browsers and devices. Fellou is a prime example of this shift – it doesn’t just assist, it can take initiative to get things done. This trend will likely continue, with browsers becoming platforms for AI agents that can orchestrate multi-step tasks. In a few years, it may be common to tell your browser: “Plan my weekend trip – find a good hotel deal, map the driving route, and check the weather – then email me a summary”, and it will actually execute all of that. The concept of a Large Action Model (LAM) that Rabbit introduced – an AI focused not just on language, but on taking actions – encapsulates this directiontheverge.com. Future AI models will be judged not only by how well they chat, but by how effectively they can operate software and navigate the digital world on our behalf.

2. Deeper Personalization and Context Awareness

As AI browsers learn from each user’s behavior, they will become highly personalized. Fellou’s roadmap includes Proactive Intelligence that watches user behavior to predict needs and provide recommendationsaisharenet.com. Imagine your browser noticing that every Friday afternoon you gather reports from certain sites – it might proactively do that for you, or if you frequently translate pages from Spanish, your AI agent might start doing it automatically each time you land on a Spanish page. The browser could build a personal knowledge base: for example, remember your preferences, your past queries, and even the content of your own documents (if you allow it). This means answers and actions will be tailored to you, not one-size-fits-all. Privacy will be crucial here – this learning must happen locally or with encryption so that your personal data isn’t exposed, a principle Fellou emphasizes with its no-tracking policyaisharenet.comaisharenet.com. In the future, AI browsers might even incorporate user profiles or personas – e.g., a “work mode” agent that knows your work context and a “personal mode” for your hobbies, each tuned accordingly.

3. Voice-First and Multimodal Interactions

While today much of this happens via text input, the future of AI browsers will likely include voice and other input modes prominently. It’s easy to imagine Fellou adding a voice command feature so you can speak your requests (similar to saying “Hey Google, …” but now “Hey Fellou, book me a meeting with John next week”). Rabbit’s approach with a voice interface and products like Humane’s AI Pin show a push towards making AI agents available through speech and even vision (camera inputs)theverge.com. Browsers might start to feel like talking to a colleague. Multimodal AI could allow you to, say, upload a PDF or image to the browser and then have an AI agent work with that (summarize it, extract data from it) in combination with live web info. We might also see integration with other sensors – e.g. an AI browser that knows your location (if you allow) could automatically do location-specific actions (like checking store hours nearby if you mention shopping). Voice interactions especially will make AI browsing more accessible – instead of typing a complex sequence of instructions, you can just tell your agent what you need, which is the most natural form of human-computer interaction.

4. Integration of Browsing with Operating Systems

The boundary between the web browser and the operating system is blurring. As Fellou’s “Local Interaction” suggests, AI agents won’t be confined to just the browser – they’ll control parts of the OS tooaisharenet.com. This could herald an era where your entire computer experience is agentically assisted. For example, an AI browser could interact with your file system, email client, calendar, and other apps to accomplish a goal. Microsoft is already hinting at this with Windows Copilot (an AI assistant across the OS) and deeper integration of Edge’s AI. Apple’s vision (as seen with things like Siri Shortcuts and possibly future AI updates) is also leaning towards voice and AI performing multi-app tasks. We might see a unification where whether you need data from the web or your local drive, the AI agent handles it seamlessly. In other words, tomorrow’s “browser” might be less of an app and more of an AI layer across all apps – a consistent agent you can call upon anywhere. Qualcomm’s CEO recently described this concept succinctly: “AI is the new UI”, suggesting that rather than opening and tapping through individual apps, users might simply state their intent and let an AI handle the navigation and execution behind the scenestechradar.comtechradar.com. This could even lead to “the death of the app” as a concept – if the AI can fulfill tasks without us manually opening apps, the traditional app interface might become less importanttechradar.com.

5. Competitive Convergence and Innovation

We can expect big tech companies to quickly adopt the successful ideas from pioneers like Fellou. For instance, if agentic browsing proves popular, Google might integrate similar capabilities into Chrome (perhaps powered by their upcoming Gemini AI or an evolution of Bard). There’s already competition in AI-assisted search (Bing, Google’s Search Generative Experience, etc.), and the next battleground could be AI-assisted task execution. Startups like Fellou and Manus are innovating rapidly, and they might either get acquired or inspire the giants. This competition is great for users: it means browsers will become much more powerful quickly. Features like “ask AI to do this for me” could be standard in many software tools. We might even see niche AI browsers specializing in certain domains – e.g., an AI browser for developers that can read docs and write code, or one for academics that integrates with reference managers and academic journals. The concept of an “AI browser” itself will evolve as people define what they really want from these tools.

6. Autonomous Browsing Agents as Services

Looking further ahead, there is the idea of fully autonomous browsing agents that work for hours or days on end on a goal. Fellou currently runs tasks in the background while you do something else, but generally, a human initiates each task. Future agents might chain tasks and operate with higher-level objectives. For example, you could instruct an agent, “Monitor the web for any new patent filings in this technology and whenever you find something, compile a report and alert me,” and it would persistently run over days, effectively acting as an autonomous research assistant. This edges into the territory of “Agent GPT” or AutoGPT experiments that people have been running – where an AI agent is given a goal and it iteratively breaks it down, executes, and refines until done (or hits a stop). The browser is a key environment for such agents since so much of human knowledge and tasks reside on the web. We might see specialized autonomous browsing services that you can deploy. They might live in the cloud and do web-based tasks 24/7 for you. Fellou or its successors could integrate with such cloud agents, or offer a mode where the agent continues running even if you close the browser, then you check in later. This raises new UX questions (how do you instruct a long-running agent clearly and safely?) and ethical ones (ensuring autonomous agents don’t do harmful actions online), but technically it’s a logical progression.

7. Human-AI Collaboration and Control

Finally, a trend that will underscore all of this is finding the right balance of autonomy and control. Users will demand ways to supervise and adjust what AI agents do. Fellou’s timeline and shadow mode are early attempts at this balanceaiagent.marktechpost.comaiagent.marktechpost.com. We predict future AI browsers will have very granular controls – perhaps a “policy” you can set for your agent (e.g., never make a purchase over $100 without asking, or don’t interact with certain websites). There will also be logs and transparency reports so you can see exactly what the AI accessed. Maybe there will even be “test run” modes, where the agent does a dry-run and shows you what it would do, before actually executing it – useful for cautious users. The UI might include visual indicators (like highlighting on screen what the agent is clicking if you want to watch it in real-time). As these agents become common, we’ll also develop a sort of etiquette: for instance, websites might start including guidelines for AI agents (like a robots.txt but for AI browsers) to tell them how to behave on the site. It’s a bit speculative, but not far-fetched if agent traffic grows.

In summary, the future of AI browsers is incredibly exciting. We’re looking at a world where browsing becomes a two-way interaction: you and your AI agent working together. You set high-level goals, the AI does the legwork, and you curate or make final decisions. Browsers will not just display information, but transform and utilize information to serve our needs. Whether it’s through voice-controlled assistants like Rabbit or agentic browsers like Fellou (or more likely, a fusion of these ideas), our experience of the internet in a few years could feel as different as using a smartphone felt compared to old feature phones. The trend is towards more natural interaction, less manual effort, and more intelligent assistance in every aspect of using the web.

Conclusion

Fellou represents a bold step towards that future. It demonstrates that a browser can be more than a tool – it can be a partner that understands intents and executes them autonomously. Its strengths in deep search and task automation showcase the potential productivity gains, while its early limitations remind us that we’re in the first chapter of this technology. Fellou’s emergence, alongside efforts like Arc’s AI integrations, Perplexity’s conversational search, and Rabbit’s action-oriented AI, signals that the way we interact with information online is changing rapidly.

If you’re an early adopter, trying Fellou now (if you can get an invite) might feel like a glimpse into tomorrow’s normal. You might find yourself getting work done in ways you hadn’t imagined – just by telling your browser what outcome you want. For others, it may be worth watching this space closely. Agentic AI browsers could very well become as ubiquitous as tabbed browsing or mobile web did; a few years down the line, we may wonder how we ever managed without an AI to offload tedious web tasks to.

One thing is certain: the browser of 2030 will be a much smarter, more proactive entity than the browsers we grew up with. Fellou and its peers are laying the groundwork for that evolution. It’s a thrilling time where AI and web technology converge, and we, as users, stand to benefit from a more empowered and efficient relationship with the internet. The common sense of “you have to manually search and click for everything” is being upended – as one Fellou demo title put it, “常識が変わる” (common sense is changing). The browser is growing up into something akin to a digital colleague.

We are witnessing the dawn of agentic browsing – and it just might change how we work, learn, and explore online in the years to comeaiagent.marktechpost.com.

Sources:

1. Fellou official site – “Fellou: The World’s First Agentic Browser” (features and descriptions)aiagent.marktechpost.comaiagent.marktechpost.com
2. MarkTechPost – “Meet Fellou: An Agentic AI Browser That Can Think and Act for You” (analysis of Fellou’s capabilities)linkedin.comaiagent.marktechpost.com
3. Analytics Vidhya – “Try Fellou AI and Say Goodbye to Google and ChatGPT” (feature list, benchmarks, and performance comparison)analyticsvidhya.comanalyticsvidhya.com
4. Medium (Avinash A.) – “Fellou: The Agentic AI Browser That Browses for You” (example use cases and under-the-hood highlights)medium.commedium.com
5. AI Daily Pulse (Medium) – “World’s First Agentic Browser with Advanced AI Automation Launched” (launch news, parallel search capability)medium.com
6. Artificial Intelligence in Plain English (Ryan Kan) – “Experience with Fellou: The World’s First Agentic Browser” (early user perspective on key features)medium.com
7. Chief AI Sharing Circle – “Fellou: A Native AI Browser for Automated Task Execution” (detailed function list and privacy features)aisharenet.comaisharenet.com
8. Perplexity AI Blog – “Perplexity now available in Arc Browser” (Arc’s integration of AI search using GPT-4, Claude 2.1, etc.)perplexity.ai
9. TechRadar – “Rabbit AI’s new tool can control Android apps…” (Rabbit’s agent capabilities across apps and voice interface)techradar.comtechradar.com
10. The Verge – “Rabbit R1 review: an unfinished, unhelpful AI gadget” (insights on Rabbit’s LAM concept and current limitations)theverge.comtheverge.com
11. LinkedIn – Post by Shubham Saboo on Fellou launch (overview of Fellou’s Deep Action and shadow window)linkedin.comlinkedin.com
12. Medium (LibrAI Insights) – Quick-Take: Fellou Launch (mention of cross-platform workflows and Eko framework)medium.com