Join the Experiment
Whether you’re a founder testing a startup strategy, a researcher exploring emergent behaviors, or a developer crafting digital societies, MythOS empowers you to simulate with precision.
Start creating verifiable, self-evolving worlds today.
Developers
Dive into our Documentation (#)
to start building with MythOS.
Learn how to initialize agents,
configure MCP Servers,
and deploy custom scenarios.
MythOS
The Problem
Today’s AI agents are limited.
They’re static, isolated, and lack the memory
or context to model real-world social complexity.
Businesses and researchers waste resources testing
hypotheses in unpredictable, high-stakes environments.
Mistakes are costly. Outcomes are uncertain.
MythOS changes
the game.
With MythOS, you can simulate intricate social systems
—complete with evolving agents, dynamic memory,
and verifiable actions before committing to real-world decisions.
From startup pivots to societal experiments, MythOS lets you
explore "what-ifs" with precision and confidence.
The Problem
Today’s AI agents are limited. They’re static, isolated, and lack the memory or context to model real-world social complexity.
Businesses and researchers waste resources testing hypotheses in unpredictable,
high-stakes environments. Mistakes are costly. Outcomes are uncertain.
MythOS changes the game.
With MythOS, you can simulate intricate social systems
—complete with evolving agents, dynamic memory, and verifiable actions
before committing to real-world decisions.
From startup pivots to societal experiments,
MythOS lets you explore "what-ifs" with precision and confidence.
Adaptive
Self-Generating Agents
MythOS agents aren’t scripted bots—they’re autonomous entities that evolve.
Initialize an agent with a simple prompt, like “Cautious Product Manager,
focused on user feedback,” and watch them reason, learn, and adapt.
Using recursive thinking and MCP tools, agents respond to conflicts,
collaborate on goals, or pivot strategies, mimicking human-like behavior.
Why Choose MythOS?
Scalable
Modular Simulation Worlds
MythOS environments are built for flexibility.
Launch pre-built scenarios like “Startup in Crisis” or “Tribal Governance,” or craft custom worlds
with MCP Servers (Environment, Memory, Comms, Protocol).
Need to simulate 10 agents or 10,000?
The Memory Server auto-scales, while the Environment Server handles spatial logic and resource constraints.
Add new rules or tools without rebuilding the system.
Transparent
MCP-Powered Actions
Every agent action is structured and auditable through
the Model-Context-Protocol (MCP) standard. Agents use
tools like observe_environment to scan their world, speak_to(agent) for structured communication, or modify_strategy to adapt goals.
The Protocol Server logs every call, ensuring no decision
is a mystery. This transparency lets you analyze why
an agent acted—perfect for debugging
or studying social dynamics.
Adaptive
Self-Generating Agents
MythOS agents aren’t scripted bots—they’re autonomous
entities that evolve. Initialize an agent with a simple prompt,
like “Cautious Product Manager, focused on user feedback,
” and watch them reason, learn, and adapt.
Using recursive thinking and MCP tools,
agents respond to conflicts, collaborate on goals,
or pivot strategies, mimicking human-like behavior.
Secure
Decentralized Consensus
MythOS ensures trust through a decentralized network
of validator nodes
—research labs, enterprise partners, or community members
—who audit agent behaviors and vote on protocol updates.
No single entity controls the system, reducing risks
of bias or manipulation.
The Protocol Server enforces rules consistently,
ensuring fairness across simulations.
Resilient
Dynamic Memory System
Agents dont just store data - they reflect and evolve. The Memory Server , powered by a vector database, supports semantic search and emotional tagging. Agents periodically revise beliefs of strategies based on these memories, creating resilient, adaptive behaviors. This dynamic memory ensures
simulations stay relevant as conditions change.
Build the future of social simulations with MythOS.
Join the Experiment
Join
the Experiment
Join
the Experiment
Whether you’re a founder testing a startup strategy, a researcher exploring emergent behaviors,
or a developer crafting digital societies, MythOS empowers you to simulate with precision.
Start creating verifiable, self-evolving worlds today.
Developers
Dive into our Documentation (#)
to start building with MythOS.
Learn how to initialize agents,
configure MCP Servers,
and deploy custom scenarios.
View Documentation
© 2025 MythOS
Join the Experiment
Whether you’re a founder testing a startup strategy, a researcher exploring emergent behaviors, or a developer crafting digital societies, MythOS empowers you to simulate with precision.
Start creating verifiable, self-evolving worlds today.
Developers
Dive into our Documentation (#)
to start building with MythOS.
Learn how to initialize agents,
configure MCP Servers,
and deploy custom scenarios.
MythOS
The Problem
Today’s AI agents are limited.
They’re static, isolated, and lack the memory
or context to model real-world social complexity.
Businesses and researchers waste resources testing
hypotheses in unpredictable, high-stakes environments.
Mistakes are costly. Outcomes are uncertain.
MythOS changes
the game.
With MythOS, you can simulate intricate social systems
—complete with evolving agents, dynamic memory,
and verifiable actions before committing to real-world decisions.
From startup pivots to societal experiments, MythOS lets you
explore "what-ifs" with precision and confidence.
The Problem
Today’s AI agents are limited. They’re static, isolated, and lack the memory or context to model real-world social complexity.
Businesses and researchers waste resources testing hypotheses in unpredictable,
high-stakes environments. Mistakes are costly. Outcomes are uncertain.
MythOS changes the game.
With MythOS, you can simulate intricate social systems
—complete with evolving agents, dynamic memory, and verifiable actions
before committing to real-world decisions.
From startup pivots to societal experiments,
MythOS lets you explore "what-ifs" with precision and confidence.
Adaptive
Self-Generating Agents
MythOS agents aren’t scripted bots—they’re autonomous entities that evolve.
Initialize an agent with a simple prompt, like “Cautious Product Manager,
focused on user feedback,” and watch them reason, learn, and adapt.
Using recursive thinking and MCP tools, agents respond to conflicts,
collaborate on goals, or pivot strategies, mimicking human-like behavior.
Why Choose MythOS?
Scalable
Modular Simulation Worlds
MythOS environments are built for flexibility.
Launch pre-built scenarios like “Startup in Crisis” or “Tribal Governance,” or craft custom worlds
with MCP Servers (Environment, Memory, Comms, Protocol).
Need to simulate 10 agents or 10,000?
The Memory Server auto-scales, while the Environment Server handles spatial logic and resource constraints.
Add new rules or tools without rebuilding the system.
Transparent
MCP-Powered Actions
Every agent action is structured and auditable through
the Model-Context-Protocol (MCP) standard. Agents use
tools like observe_environment to scan their world, speak_to(agent) for structured communication, or modify_strategy to adapt goals.
The Protocol Server logs every call, ensuring no decision
is a mystery. This transparency lets you analyze why
an agent acted—perfect for debugging
or studying social dynamics.
Adaptive
Self-Generating Agents
MythOS agents aren’t scripted bots—they’re autonomous
entities that evolve. Initialize an agent with a simple prompt,
like “Cautious Product Manager, focused on user feedback,
” and watch them reason, learn, and adapt.
Using recursive thinking and MCP tools,
agents respond to conflicts, collaborate on goals,
or pivot strategies, mimicking human-like behavior.
Secure
Decentralized Consensus
MythOS ensures trust through a decentralized network
of validator nodes
—research labs, enterprise partners, or community members
—who audit agent behaviors and vote on protocol updates.
No single entity controls the system, reducing risks
of bias or manipulation.
The Protocol Server enforces rules consistently,
ensuring fairness across simulations.
Resilient
Dynamic Memory System
Agents dont just store data - they reflect and evolve. The Memory Server , powered by a vector database, supports semantic search and emotional tagging. Agents periodically revise beliefs of strategies based on these memories, creating resilient, adaptive behaviors. This dynamic memory ensures
simulations stay relevant as conditions change.
Build the future of social simulations with MythOS.
Join the Experiment
Join
the Experiment
Join
the Experiment
Whether you’re a founder testing a startup strategy, a researcher exploring emergent behaviors,
or a developer crafting digital societies, MythOS empowers you to simulate with precision.
Start creating verifiable, self-evolving worlds today.
Developers
Dive into our Documentation (#)
to start building with MythOS.
Learn how to initialize agents,
configure MCP Servers,
and deploy custom scenarios.
View Documentation
© 2025 MythOS