MythOS Docs
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  • Introduction to MythOS
  • Core Components of MythOS
  • How MythOS Simulations Work
  • Why MythOS is More Than a Simulator
  • Example: Building a MythOS Simulation
  • Conclusion
  • Next Steps
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  • Adaptive, Non-Scripted Agents
  • MCP as a Standard
  • A Platform for Digital Societies

Why MythOS is More Than a Simulator

MythOS transcends traditional simulation tools by offering a programmable social cognition engine. Here’s what sets it apart:

Adaptive, Non-Scripted Agents

Unlike scripted NPCs in games or rule-based bots, MythOS agents learn and evolve. They don’t follow predetermined paths but instead adapt based on interactions, memory, and environmental feedback. This leads to emergent behaviors that mirror real-world complexity.

MCP as a Standard

The Model-Context-Protocol (MCP) standard is the backbone of MythOS, providing:

  • Externalized Intelligence: Agents rely on modular tools rather than hardcoded logic, making them lightweight and extensible.

  • Modularity: New tools or servers can be added without redesigning the system.

  • Traceability: Every action is logged and auditable, enabling detailed analysis of decision-making processes.

  • Scalability: MCP servers can handle large populations of agents across distributed environments.

A Platform for Digital Societies

MythOS is not just about simulating isolated scenarios—it’s a foundation for modeling entire digital societies. By combining programmable rules with autonomous agents, MythOS enables users to explore how values, norms, and structures emerge over time.

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Last updated 2 days ago