Zusama

WEB-3 Chrome Extension (Login + Mining)

As of June 2026, Zusama has 3 users and a 5.00/5 rating from 1 reviews in the Communication category.

Usersup 50.0 percent+50.0%
3
3
Ratingno change0%
5.00
1 reviews
Reviewsno change0%
1
Version
1.1.1
Manifest V3
90-day change · In the last 90 days this extension 1 version update, changed permissions.

History

6 snapshots

Tracking since Apr 17, 2026.

4.1631.8399999999999999Apr 17, 2026Jun 11, 2026
View as table
DateUsersRatingReviewsVersion
Apr 17, 202620.1.0
Apr 28, 202620.1.0
May 16, 202620.1.0
May 22, 202621.1.1
May 29, 202635.0011.1.1
Jun 11, 202645.0011.1.1
Now35.0011.1.1

Changelog

  • May 16, 2026
    description
    Zusama is a decentralized AI training network that allows users to contribute computing resources securely through distributed nodes. Powered by blockchain verification and federated learning, Zusama helps build privacy-first artificial intelligence while rewarding users for participation.
    The Zusama AI Mining & Training Extension is a developer-focused platform designed to accelerate the creation of intelligent AI Agents for game development workflows. Built around scalable agent architecture and AI training pipelines, the extension enables developers to mine gameplay data, train adaptive AI systems, and orchestrate autonomous agents capable of assisting or automating complex game production tasks.
    
    The core objective of the extension is to bridge the gap between AI infrastructure and modern game development by providing an integrated environment where AI agents can continuously learn, improve, and collaborate within game ecosystems.
    
    Key Features
    AI Data Mining
    
    The extension collects and processes gameplay, behavioral, and project-related data to generate meaningful training datasets for AI agents. This allows agents to better understand player interactions, game logic, balancing systems, and content generation patterns.
    
    AI Agent Training Pipeline
    
    Developers can train specialized AI agents using structured datasets and reinforcement-driven workflows. The training system is designed to support scalable experimentation, fine-tuning, and iterative improvement of game-focused AI models.
    
    Autonomous Game Agents
    
    The platform enables the creation of AI agents capable of handling game-related tasks such as:
    
    Gameplay simulation
    Automated testing
    NPC behavior generation
    Content balancing
    Quest and dialogue assistance
    Asset and workflow automation
    Live operational support
    Modular Agent Architecture
    
    The extension follows a modular and extensible design, allowing developers to build multiple specialized agents that can collaborate together in complex production environments. This architecture aligns with modern agent-runtime concepts and scalable AI orchestration systems.
    
    Integration-Friendly Workflow
    
    The extension is designed to work alongside existing game development pipelines and AI tooling ecosystems. It supports integration-oriented workflows inspired by modern AI runtime and agent systems used across development platforms. ()
    
    Vision
    
    The long-term vision of Zusama AI Mining & Training Extension is to provide a foundation for next-generation autonomous game development, where AI agents actively assist developers throughout the entire production lifecycle — from prototyping and balancing to testing and live operations.
    
    By combining AI mining, training infrastructure, and agent orchestration into a unified workflow, the extension aims to reduce repetitive development tasks, improve scalability, and unlock new possibilities for intelligent game creation.
    
    Target Users
    Game developers
    AI engineers
    Indie studios
    AI research teams
    Automation-focused production pipelines
    Experimental AI game projects
    Future Expansion
    
    Planned future capabilities may include:
    
    Multi-agent collaboration systems
    Reinforcement learning environments
    Real-time gameplay adaptation
    AI-driven procedural content generation
    Agent memory and persistent learning
    Cross-project AI knowledge sharing
    Cloud-based distributed training systems
    
    The Zusama AI Mining & Training Extension represents a step toward fully AI-assisted game development ecosystems, where intelligent agents evolve alongside the games they help create.
  • May 16, 2026
    short_description
    WEB-3 Chrome Extension (Login + Start Explore)
    WEB-3 Chrome Extension (Login + Mining)
  • May 16, 2026
    host_permissions
    https://zusama.xyz/*
    https://zusama.xyz/*, http://zusama.xyz/*
  • May 16, 2026
    permissions
    storage, tabs, alarms, cookies
    sidePanel, storage, tabs, alarms, cookies

Permissions & access

Permissions
sidePanelstoragetabsalarmscookies
Host access
https://zusama.xyz/*, http://zusama.xyz/*

Screenshots

Zusama screenshot 1Zusama screenshot 2Zusama screenshot 3Zusama screenshot 4Zusama screenshot 5

About

The Zusama AI Mining & Training Extension is a developer-focused platform designed to accelerate the creation of intelligent AI Agents for game development workflows. Built around scalable agent architecture and AI training pipelines, the extension enables developers to mine gameplay data, train adaptive AI systems, and orchestrate autonomous agents capable of assisting or automating complex game production tasks.

The core objective of the extension is to bridge the gap between AI infrastructure and modern game development by providing an integrated environment where AI agents can continuously learn, improve, and collaborate within game ecosystems.

Key Features
AI Data Mining

The extension collects and processes gameplay, behavioral, and project-related data to generate meaningful training datasets for AI agents. This allows agents to better understand player interactions, game logic, balancing systems, and content generation patterns.

AI Agent Training Pipeline

Developers can train specialized AI agents using structured datasets and reinforcement-driven workflows. The training system is designed to support scalable experimentation, fine-tuning, and iterative improvement of game-focused AI models.

Autonomous Game Agents

The platform enables the creation of AI agents capable of handling game-related tasks such as:

Gameplay simulation
Automated testing
NPC behavior generation
Content balancing
Quest and dialogue assistance
Asset and workflow automation
Live operational support
Modular Agent Architecture

The extension follows a modular and extensible design, allowing developers to build multiple specialized agents that can collaborate together in complex production environments. This architecture aligns with modern agent-runtime concepts and scalable AI orchestration systems.

Integration-Friendly Workflow

The extension is designed to work alongside existing game development pipelines and AI tooling ecosystems. It supports integration-oriented workflows inspired by modern AI runtime and agent systems used across development platforms. ()

Vision

The long-term vision of Zusama AI Mining & Training Extension is to provide a foundation for next-generation autonomous game development, where AI agents actively assist developers throughout the entire production lifecycle — from prototyping and balancing to testing and live operations.

By combining AI mining, training infrastructure, and agent orchestration into a unified workflow, the extension aims to reduce repetitive development tasks, improve scalability, and unlock new possibilities for intelligent game creation.

Target Users
Game developers
AI engineers
Indie studios
AI research teams
Automation-focused production pipelines
Experimental AI game projects
Future Expansion

Planned future capabilities may include:

Multi-agent collaboration systems
Reinforcement learning environments
Real-time gameplay adaptation
AI-driven procedural content generation
Agent memory and persistent learning
Cross-project AI knowledge sharing
Cloud-based distributed training systems

The Zusama AI Mining & Training Extension represents a step toward fully AI-assisted game development ecosystems, where intelligent agents evolve alongside the games they help create.

Technical

Version
1.1.1
Manifest
V3
Size
29.07KiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
kenhnhedhlokngkgilmjpnjeadkjecnh
Developer ID
u497bd72605cb206ffc636eb8b45a2f7b
Developer Email
[email protected]
Created
Feb 17, 2026
Last Updated (Store)
May 16, 2026
Last Scraped
Jun 11, 2026
Website
Support URL

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Data sourced from the Chrome Web Store · last verified Jun 11, 2026.