1. Core Differentiator: Parallel Multi-Agent Collaboration Architecture
Unlike traditional AI tools powered by only one single model to handle all queries, Fellou automatically schedules multiple specialized Agents to work in parallel based on task demands.
Built-in Agent types (dynamically allocated per user request):
- Deep Search Agent: Full web crawling, information extraction and data sorting
- Visual Report Agent: Convert scattered raw data into structured charts and visual dashboards
- Music Agent: Original audio & music generation
- Coding Agent: Script writing, webpage development and code debugging
- File Agent: Document parsing, file editing and batch file operations
When a user submits a complex instruction such as Draft an AI industry briefing and collect several financing case studies, Fellou activates multiple Agents simultaneously. The Deep Search Agent retrieves industry statistics and financing materials, while the Visual Report Agent assembles the structured briefing. Each Agent runs its own independent workflow; users can view full execution logs or let the system finish the whole process autonomously.
Dynamic Multitasking
Fellou runs all Agents in isolated parallel threads, like a virtual office where each AI has its own dedicated workspace. Users monitor real-time progress of multiple tasks at once, switch between workflows freely and intervene at any stage. This architecture ensures spatial isolation and logical parallelism for all agent tasks.
2. Z-Axis Layered Interface & Shadow Virtual Space
The biggest upgrade of Fellou CE Edition is the introduction of a Z-axis multi-layer workspace within the browser interface. Users and multiple Agents operate in separate non-overlapping zones, enabling seamless side-by-side collaboration in a virtual digital office.
Shadow Space Technology
Built on virtualization, Fellou’s Shadow Space runs all AI tasks inside an isolated offline virtual environment. AI workflows never seize control of the user’s foreground browser. Users can browse websites or handle personal work on the front layer while Agents complete heavy tasks silently in the background.
3. Agentic Long-Term Memory
Fellou features persistent contextual memory. It records full browsing history, operation sequences and personal preference patterns.
Example user prompt: Sort all TechCrunch articles I just read and organize them into topic-based tables with titles, timestamps and summaries. The system instantly retrieves full browsing records and auto-classifies content without manual favorites or pre-set tags, relying purely on historical access trails.
4. Scheduled Tasks & Automated Task Chains
Timed Automation
Users set recurring triggers such as Every 9 a.m., crawl trending AI news from the previous day, filter key highlights and compile a daily briefing. The system launches the full Agent workflow on schedule, generates consolidated outputs and supports push notifications.
RPA-Style Task Chaining
Drawing on enterprise robotic process automation logic, Fellou links multi-step operations end-to-end: extract webpage data → auto-fill online forms → send summary emails → sync datasets to Notion databases.
5. Permanently Free Core Modules: Deep Search & Visual Report
- Deep Search: Upon receiving search requests, Fellou scrapes dozens of web pages in parallel, uses LLMs to distill structured takeaways and delivers fully sourced conclusions instead of plain link lists.
- Visual Report: Transform fragmented raw data into clean annotated charts and formatted analytical reports with full source citations.
These two core functions are permanently free for all users with no tiered paywall restrictions.
6. Local App Linkage & Cross-Platform Workflows
Fellou operates seamlessly across web pages and local desktop files/applications. Cross-platform capabilities include form auto-filling, automated email dispatch and Notion data synchronization after web data extraction. When combined with other specialized Agents, it executes end-to-end complex pipelines: search brand assets → generate logo design → compose background music → build landing pages → auto-publish content to social media platforms with zero manual intervention.
7. Hook Human Intervention Nodes
The built-in Hook mechanism pauses workflows at steps requiring human input (captcha entry, account login confirmation, identity verification, etc.) and actively prompts the user for assistance. After user completion, the task resumes automatically without full restarts.
8. Eko Open-Source Developer Framework
All Fellou automation logic is built on the self-developed Eko framework. Developers customize custom workflows via natural language prompts or JavaScript extensions to expand platform functionality. The Eko repository is fully open-source on GitHub, with an active community support channel on Discord.
Technical Stack & Benchmark Performance
Fellou’s core architecture integrates cross-domain technology components: browser rendering engine, large language model for reasoning, RPA automation modules, multi-agent communication protocols and secure isolated sandbox environments.
Official Test Metrics
- Average task runtime: 3.7 minutes, 3–5× faster than competing AI agent products
- Per-task cost range: $0.04–$0.42
- Write-operation success rate across 5,750 tasks on 500+ websites: 72%, outperforming OpenAI (59%) and Manus (60%)
Real-World Efficiency Case
A cross-vendor project bid data analysis requiring 3 full working days of manual labor was completed by Fellou in only 7 minutes 49 seconds, including full preliminary analysis and formatted report generation.
Product Development Milestones
- Late 2024: Limited overseas beta launch
- April 2025: Official public release
- May 11, 2025: World’s first Agent-native browser launched
- May 2025: Global user base exceeds 1 million
- June 2025: Fellou 2.0 major update released
- August 2025: Media feature story: "This post-95s team is rebuilding the internet access portal for 3 billion people"
- September 8, 2025: Fellou CE (Concept Edition) launched, introducing Z-axis layered workspace and permanent free core function policy
Target User Groups
- Researchers & analysts: Accelerate literature reviews and market research with automated deep search and visual reporting
- Product managers & investors: Automate competitor tracking, industry landscape scans and financing data aggregation, compressing 3-day manual work into minutes
- Marketers & self-media operators: Auto-generate social media copy, cross-platform publish schedules and scheduled hot topic monitoring
- Developers & tech enthusiasts: Build custom automation pipelines via the open-source Eko framework, with an active GitHub contributor community
- Knowledge workers: All office roles requiring frequent document research, data sorting and cross-platform operations
- General productivity users: Experience browser-native AI automation to eliminate repetitive manual work
Comprehensive Product Evaluation
Fellou stands as one of the most disruptive AI applications of 2025–2026. Instead of simply adding an AI chat sidebar onto a standard browser, it reconstructs the core browser architecture from the ground up — transforming the tool from a passive information viewer into an autonomous task executor.
Core Competitive Advantages
- True parallel multi-agent teamwork: Multiple specialized AI units operate simultaneously like a dedicated virtual team, rather than a single generic model handling all requests
- Non-intrusive Shadow Virtual Space: AI runs background tasks without disrupting the user’s foreground browsing workflow
- Permanently free flagship features: Deep Search and Visual Report unlocked for all users with no hidden charges
- Proven efficiency benchmarks: 72% success rate for write operations across 500+ websites, outperforming OpenAI and Manus; multi-day manual workflows condensed to under 8 minutes
- Open developer ecosystem: Fully open-source Eko framework enables unlimited custom workflow extensions
Known Limitations
The product is under rapid iterative updates; success rates for ultra-complex multi-layer tasks still require improvement. Certain automated operations may lack flexible adaptive logic. Enterprise large-scale private deployment requires custom consultation with the official team.
Brand Vision & Usage Recommendation
Fellou’s core mission: Build tools that deeply understand human intent, shifting users from hands-on task executors to high-level strategic decision-makers.
Suitable for researchers needing rapid literature sorting, marketers requiring automated content distribution, and any user curious about browser-native AI automation. New users are recommended to start with the free edition to test Deep Search and Visual Report, and experience the new collaborative human-AI workflow paradigm.