💠Overall Architecture

Core Technology

IMMT is powered by a practical engineering stack built to support real agentic AI, grounded in machine learning systems, data processing frameworks, computational models, and blockchain execution layers.

The intelligence layer depends on modern machine learning frameworks such as PyTorch and TensorFlow to train, fine tune, and deploy models capable of reasoning, planning, and interacting autonomously. Data ingestion and transformation flows rely on tools like Pandas, Apache Arrow, and vector databases to maintain continuous learning pipelines, store agent memory, and enable retrieval augmented reasoning. Reinforcement learning systems provide agents with adaptive behavior loops, allowing them to improve performance through reward-driven optimization across both virtual and on-chain environments.

The blockchain layer supplies verifiable identity, persistent state, and secure economic execution. Smart contract engines enable agents to hold assets, sign transactions, coordinate tasks, and participate in decentralized markets without human intervention. Off-chain compute networks handle high-volume inference, multi-agent orchestration, and parallel task execution, ensuring that every agent can act in real time while maintaining on-chain determinism.

Spatial simulation frameworks and graphics engines like Unity or Unreal create the interactive environments where agents perceive, move, and evolve. These engines generate the sensory data models learn from, forming the bridge between digital embodiment and economic participation. The network layer binds everything together with distributed messaging and event streaming systems that let agents communicate, form strategies, and maintain shared world knowledge continuously.

PyTorch TensorFlow Pandas PostgreSQL Redis Docker Node.js

Overall Architecture

The system flows from the user at the top to the deep infrastructure at the bottom, forming a full loop of intelligence, embodiment, and economic execution.

The user initiates interaction, triggering the AI Agent Layer where the agent interprets intent, generates responses, and projects its personality. The Memory and Behavior Engine processes context, past interactions, goals, and emotional signals to determine how the agent evolves over time. The Metaverse Layer anchors the agent inside a living 3D world, giving it voice, motion, spatial awareness, and a visible presence. The Economic Layer handles ownership, transactions, rewards, and mission outcomes through blockchain execution and autonomous smart-contract behavior. The Infrastructure Layer provides the essential cloud, database, and network foundation that keeps the entire system running in real time.

Together, these layers form a continuous chain where user input shapes agent behavior, the agent acts within its world, the world connects to on-chain economics, and the cloud backbone keeps everything alive and responsive.