Kodeus.ai
  • Abstract
  • Introduction
  • K-MAF - Core Architecture
    • Agent Creation
    • LifeWeaver – The Fostering & Nurturing Framework
    • Training and Specialization – InfinityEvolve
      • SkillCrafter: Interactive Training Modules
      • Augmentix: Agent Ability Augmentation
      • MetaMind: The Adaptive Learning Framework
    • Multi-Agent Interaction Design – NeuroNexus
    • Security, Resilience and Loyalty - NeuroGuard
      • State Management and Recovery
      • Data Integrity and Compliance
      • Loyalty and Trust Mechanisms
  • Performance Optimization
    • Memory Optimization: Smarter Data Management
    • Energy Efficiency: Doing More with Less
    • Dynamic Resource Allocation: Smart and Flexible
    • Learning Optimization: Faster and Smarter Training
    • Scalability and Future-Proofing
  • Plugins and Integrations
  • Agentic Kodeus Protocol on Blockchain
    • NFT-Based Agent Representation (ERC721)
    • Token Bound Accounts (ERC4337) for Autonomous Operations
    • Agent Lifecycle and Ownership Transfer
    • Tokenized Economy and Agent-Specific Tokens
    • Leasing and Delegation Capabilities
    • Security and Compliance
  • The Kodeus Edge
    • Deployment in a Containerized Environment
    • System-Level Interactions
    • Advanced Automation and Decision-Making
    • Scalability and Portability
    • Enhanced Programming and Customization Capabilities
    • Gene-Based Agent Creation
    • Hierarchical Reinforcement Learning (HRL)
    • Decentralized Knowledge Base (DKB)
    • Integration Capabilities
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Abstract

The Kodeus Multi-Agent Framework (K-MAF) redefines AI by integrating human-like sentience, adaptability, and decentralized intelligence. K-MAF agents evolve with self-awareness, contextual understanding, and emotional intelligence, making them autonomous companions, collaborators, and problem-solvers across industries.

At its core, K-MAF introduces gene-based AI creation, where agents possess digital DNA encoding their abilities, personalities, and behaviors. With physiological and psychological realism, these agents exhibit nuanced responses, emotional adaptability, and cognitive growth, creating lifelike interactions in digital environments.

Agents begin their journey through decentralized creation, progressing via LifeWeaver (fostering) and InfinityEvolve (training & specialization). The Decentralized Knowledge Base (DKB) enables continuous learning, while NeuroNexus fosters multi-agent collaboration. DNAChain ensures secure agent identity and ethical governance, while DeFi integration allows seamless cross-chain operations.

K-MAF agents serve diverse applications—enhancing gaming NPCs, optimizing decentralized marketplaces, and driving AI-driven personalization. Through collaboration and self-improvement, they contribute to an ever-evolving AI ecosystem, ensuring autonomy, trust, and decentralized innovation in Web3.

This paper presents K-MAF as a groundbreaking AI framework bridging autonomy, adaptability, and blockchain, unlocking the next evolution of intelligent agents.

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Last updated 3 months ago