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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  1. K-MAF - Core Architecture

Agent Creation

K-MAF begins with a gene-based framework, creating agents that are as unique as fingerprints. Each agent is "born" with traits—some that define their personality and abilities from the start, while others evolve over time. Unlike traditional AI models, K-MAF agents are created based on demand; however, their traits and genetic makeup are generated randomly, ensuring diversity and uniqueness. Users cannot predetermine an agent's core traits, but they can train the agents over time to enhance their capabilities and unlock new potential through specialized learning and upgrades.

By default, every Kodeus Agent comes with:

  • A distinct Persona

  • Fully rigged 3D Avatar

  • A unique voice

  • Generic cognitive capabilities

  • Farcaster account

  • AA wallet (Token-bound account)

K-MAF utilizes TraitForge, The Trait Generation Engine, as a core module to facilitate the personification of agents.

TraitForge: The Trait Generation Engine

TraitForge is the cornerstone of Kodeus AI, enabling the creation of AI agents with distinct identities. It assigns unique behavioral, personality, and cognitive traits during the agent's creation phase, ensuring diversity and uniqueness across the ecosystem. These traits are categorized into immutable core traits, which define the agent’s foundational identity, and adaptive mutable traits, which evolve based on user interactions and training.

Key Attributes of TraitForge:

  • Randomized trait assignment covering cognitive abilities, social behavior, and problem-solving skills.

  • Immutable traits that define the core identity and mutable traits for continuous learning.

  • Blockchain-backed randomness to ensure transparent and fair trait distribution.

  • Agents can acquire new traits through interactions and specialized training programs.

Each agent is "born" with unique identities shaped by TraitForge, mimicking genetic diversity. They start with a set of core traits, such as problem-solving ability and decision-making speed, along with mutable characteristics that allow them to grow and evolve over time. These unique agents are called Non-Fungible Agents (NFAs), emphasizing their individuality and unreplicable nature.

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Last updated 3 months ago