Hyperbrowser
Hyperbrowser
Cloud browser for AI agents
Product Introduction
Overview
Hyperspace is a generative browser powered by the world's largest peer-to-peer artificial intelligence network, designed to provide users with a new interactive interface for deep research and analysis.
Key Highlights
- Deep Research and Analysis: Combines web search, code execution and multiple models to provide users with powerful research and analysis tools
- Information Generation: Quickly generate your own information network using high-quality information sources such as Wikipedia and arXiv
- New Reasoning Model: Breaks down user queries into collaborative action graphs, providing more accurate query results
- Distributed AI Network: Users can run nodes through browser or command line, join the world's largest distributed AI network, and earn credits by providing services to the network
- Create Hotspots: Users can create their own hotspots, put powerful AI agents online, and share network access permissions
- Model Selection: Users can choose from more than 100 top open-source models available on the network
- Vector Database: Has a large and up-to-date vector database containing embeddings from sources such as Wikipedia and arXiv
- AI-Native Blockchain: Powered by a breakthrough AI-native blockchain that supports significantly increased computational demands
Target Users
Main Features
Deep Research and Analysis
Combines web search, code execution and multiple models to provide users with powerful research and analysis tools.
Key Benefits:
- Multi-source information integration
- Code execution capability
- Multiple AI model support
- Deep analysis functions
Information Generation
Quickly generate your own information network using high-quality information sources such as Wikipedia and arXiv.
Key Benefits:
- High-quality information sources
- Automatic information network generation
- Knowledge graph construction
- Information association discovery
New Reasoning Model
Breaks down user queries into collaborative action graphs, providing more accurate query results.
Key Benefits:
- Collaborative reasoning
- Query decomposition optimization
- More accurate results
- Intelligent reasoning process
Distributed AI Network
Users can run nodes through browser or command line, join the world's largest distributed AI network, and earn credits by providing services to the network.
Key Benefits:
- Distributed computing
- Global network access
- Earn credits through services
- Decentralized architecture
Create Hotspots
Users can create their own hotspots, put powerful AI agents online, and share network access permissions.
Key Benefits:
- Custom AI agents
- Hotspot creation and sharing
- Network access control
- Personalized AI services
Model Selection
Users can choose from more than 100 top open-source models available on the network.
Key Benefits:
- Rich model selection
- Top open-source models
- Flexible model switching
- Customized AI experience
Vector Database
Has a large and up-to-date vector database containing embeddings from sources such as Wikipedia and arXiv.
Key Benefits:
- Large vector database
- High-quality data sources
- Real-time updates
- Powerful retrieval capability
AI-Native Blockchain
Powered by a breakthrough AI-native blockchain that supports significantly increased computational demands.
Key Benefits:
- AI-native blockchain
- Scalable computing power
- Secure and reliable
- Innovative technical architecture
Usage Guide
System Requirements
- Modern browser support
- Stable internet connection
- Register Hyperspace account
- Basic command-line knowledge (optional)
Installation Steps
- 1Visit Hyperspace official website
- 2Register user account
- 3Download and install client for your platform
- 4Complete initial setup and node configuration
Basic Usage
- Launch Hyperspace browser
- Join distributed AI network
- Perform deep research and analysis
- Use information generation features
- Create and manage personal hotspots
Advanced Features
- Run local nodes to participate in distributed network
- Select and configure different AI models
- Create custom AI agents
- Manage vector database and data sources
- Set up blockchain integration and computing resources
Use Cases
Academic Research
Help researchers quickly acquire and analyze large amounts of data by integrating multiple information sources and models.
Typical Applications:
- Deep analysis of academic papers
- Interdisciplinary research integration
- Data-driven hypothesis validation
- Automatic research report generation
Data Analysis
Provide powerful tools for data analysts to quickly generate and analyze data charts.
Typical Applications:
- Rapid analysis of large datasets
- Automatic visualization chart generation
- Trend prediction and modeling
- Data insight extraction
Code Development
Support code execution features to help developers quickly test and optimize code.
Typical Applications:
- Rapid code prototype validation
- Algorithm performance testing
- Code optimization suggestions
- Multi-language code execution
Content Creation
Help content creators quickly generate high-quality content such as articles and reports.
Typical Applications:
- Automatic research report writing
- Technical document generation
- Creative content assistance
- Multi-format content output
Enterprise Decision Making
Provide deep analysis and data support for enterprises to help make wiser decisions.
Typical Applications:
- Deep market trend analysis
- Competitive intelligence gathering
- Investment decision support
- Strategic planning assistance
Education
Provide rich learning resources and research tools for students and teachers.
Typical Applications:
- Personalized learning paths
- Research project guidance
- Educational content generation
- Academic resource integration
Technical Features
Deep Research
Deep research features combining search and AI
Information Generation
Information network generation based on high-quality sources
Distributed Network
Global distributed AI network
AI Agent Creation
Custom AI agents and hotspots
Vector Database
Large vector database support
Blockchain Integration
AI-native blockchain support
Pros
- Stable cloud operation
- High AI integration
- No local deployment required
- Distributed architecture
- Rich model selection
Cons
- Mainly for developers
- Steep learning curve
- Network dependency required