viralmind.ai
  • Viralmind's Mission
  • The $VIRAL Token
  • Roadmap
  • What Sets Viralmind Apart?
  • Join Our Communities
  • The Team
  • Understanding Computer Use Agents
    • ❓What is a Computer Use Agent?
    • 🖥️Real World Examples and Use Cases
  • The Forge
    • ℹ️Introduction
    • 🌀Training Pools
  • Training Gym
    • ℹ️Introduction
    • 🔄How It Works
    • 🪧Demonstrations
    • 📊Demonstration Data
  • Inference API
    • 🤖Deploy Agentic AI with $VIRAL
  • Frequently Asked Questions
    • ❓General FAQs
    • ❓Technical FAQs
    • ❓Token and Ecosystem FAQs
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On this page
  • Early April
  • End of April
  • Mid-May
  • End of May
  • End of June
  • Q3

Roadmap

The Viralmind Development Roadmap

PreviousThe $VIRAL TokenNextWhat Sets Viralmind Apart?

Last updated 2 months ago

Early April

  • VM-1 Computer Use Model Demo - The first public unveiling of the VM-1 alpha, our groundbreaking agent designed to handle real-world computer tasks!

  • ViralMind Desktop Bug Fixes - We’re continuously polishing the ViralMind Desktop app to make it more reliable and intuitive. Expect:

    • Smoother navigation and user interfaces.

    • Fixes for crashes or glitches reported by early users.

    • Enhanced customizability and privacy settings.

End of April

  • Gym Leaderboard Introducing the Training Gym Leaderboard—a fun, competitive way to see how your AI agents stack up! This feature will:

    • Rank agents based on speed, accuracy, and task complexity (e.g., how fast an agent can complete a task in Excel).

    • Highlight top performers weekly with badges and shoutouts.

    • Inspire users to tweak their agents and climb the ranks!

  • Demonstrator Leaderboard - A companion ranking for the top training demonstrators in the community. Here’s what you’ll see:

    • The users with the highest task scores and $VIRAL earnings at the top.

    • Highlight top performers weekly with badges and shoutouts.

Mid-May

  • Desktop App Training Pipeline Alpha - The Alpha release of our training system lets you transfer demonstration data from the Forge into computer use agents. Here’s how it works:

    • Process Datasets: Forge data is processed into training-ready datasets with the click of a button.

    • Agent Training: Agents are trained on your datasets using our state of the art training infrastructure.

    • Exporting: Release your trained agent to the public for integration with our Computer Use Client.

  • Computer Use Client Beta - Our Beta desktop automation software brings your trained agents to life! Key features include:

    • Local Execution: Run agents on your own machine—no cloud required (perfect for privacy buffs).

    • Virtual Machine Support: Test agents in a sandboxed VM to safely experiment with tasks like coding, gaming automation, or market research.

    • Example use case: Ask an agent trained on food delivery apps to order you the best pizza in town — all hands-free!

End of May

  • Agent Benchmarking Leaderboard - Time to put your agents to the test! This leaderboard will:

    • Evaluate agents on standardized benchmarks (e.g., completing an Excel task in the allotted time frame).

    • Score them on efficiency, error rate, and versatility across tasks.

    • Offer prizes or $VIRAL token rewards for top performers each month.

    • Provide detailed stats so you can see where your agent excels—or needs a tune-up.

End of June

  • Computer Use Marketplace - The Marketplace turns your AI skills into profit and simplifies task automation for everyone:

    • Sell Your Agents: List your custom-trained agents and earn a commission per sale.

    • Buy Pre-Trained Agents: Skip the training and grab ready-made solutions — like an agent that auto-edits podcasts or schedules meetings.

    • Rating System: Community reviews and ratings ensure you’re buying or selling quality.

    • Bonus: A portion of each sale supports $VIRAL ecosystem growth!

Q3

  • VM-1 Flagship Model Release - The big moment — VM-1 will launch as our flagship computer use model.

  • And Much More

    • Stay tuned for updates as we push the boundaries of AI automation!