Agentic AI browser that plans and executes multi-step web tasks, deep research and cross-site automation from a single natural-language prompt.

Overview

Fellou is an agentic AI browser that turns natural-language goals into executed web work. Rather than answering questions like a chat assistant, it builds a step-by-step plan you can approve or edit, then carries it out across multiple sites and even local apps. Its deep search spans public pages and logged-in accounts to produce traceable, source-cited reports, while Browser Use and Computer Use let it fill forms, scrape data, manage files and run multi-app workflows end to end. An Agentic Memory layer learns from your history and notes so it can recall context on demand, and the Eko framework lets developers build reusable agents mixing natural language and JavaScript. It targets knowledge workers doing competitor research, market analysis and recurring reporting.

Key Features

  • Plan-then-act workflow with review, edit and real-time intervention — automates multi-step task execution.
  • Deep search across public and logged-in sites with cited reports — can work autonomously toward a goal.
  • Cross-site automation: form filling, data transfer and scraping — connects multiple tools in a pipeline.
  • Computer Use for local app control and file management — automates multi-step task execution.
  • Agentic Memory that recalls context from history and notes — can work autonomously toward a goal.
  • Eko framework for building reusable, model-agnostic agents — connects multiple tools in a pipeline.

Pricing

PlanPriceFor
Free$01,000 Sparks, ~4 tasks, 2 scheduled
Plus$19/mo2,000 Sparks, priority support
Pro$39.99/mo5,000 Sparks, 5 scheduled tasks
Ultra$199.99/moUnlimited Sparks and scheduled tasks

Pricing is subject to change. Check the official website for current plans and regional discounts. Free tiers often have usage limits — evaluate whether those limits match your expected volume before committing.

Comparison

Compared to Manus, Fellou keeps you inside a browser you actively drive, exposing every step instead of running as a remote black box. Against Genspark, it leans harder into hands-on web automation and logged-in deep search rather than document generation. And where MultiOn focuses on web actions via API, Fellou adds visual planning, desktop control and persistent memory in one app.

Getting Started

  • Visit https://fellou.ai and sign up for the free tier if available — test the core workflow before committing to a paid plan.
  • Spend 10–15 minutes exploring the interface and pre-built templates — familiarity with the tool’s layout pays off quickly.
  • Connect or integrate Fellou with your existing tools and workflows where possible — standalone use underestimates its value.

Hands-on Verdict

Fellou is the agentic browser I use when a task spans multiple sites — it navigates, gathers, and acts across tabs to complete a goal. It’s more action-oriented than Perplexity on doing and a lighter setup than a custom Browse AI bot. For research I use Perplexity.

Who it’s for: researchers, operators. Tip: give it a concrete end goal with the sites involved — Fellou executes across tabs, so a clear target prevents aimless browsing.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
Fellou (this) agents, productivity, searchFree $0 · From $19/mo Site ↗
ManusagentsCustom pricing Site ↗
Gensparksearch, agentsFree $0 · From $19.99/mo Site ↗
MultiOnagentsFree $0 Site ↗
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Editor’s Review
4.2/5
Pros
  • +Plans first, then acts, so you can review and edit the steps before execution
  • +Deep search works across logged-in sites like Reddit and X, with cited reports
  • +Cross-site and desktop automation handles forms, scraping and file tasks
Cons
  • Spark credits burn unpredictably with complex workflows
  • Requires switching to a new primary browser environment
  • Desktop builds and advanced features are still maturing

Fellou is a genuinely different take on the AI browser: it treats the browser as an execution surface, not just a chat window. The plan-then-act model and real-time intervention make it feel controllable, though heavy automation eats Sparks fast.

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Last updated: 2026-07-31

When to use it

  • Use it when you need plans first, then acts, so you can review and edit the steps before execution
  • Use it when you need deep search works across logged-in sites like Reddit and X, with cited reports
  • Use it when you need cross-site and desktop automation handles forms, scraping and file tasks

When to skip it

  • Avoid it if spark credits burn unpredictably with complex workflows
  • Avoid it if requires switching to a new primary browser environment
  • Avoid it if desktop builds and advanced features are still maturing

Alternatives to consider