LIGHT PAPER

AI agents are not static collectibles; they are customizable, functional, and tradable assets that can execute specialized tasks within decentralized apps (dApps). Our platform allows users to own, deploy, fine-tune, and monetize these agents, creating a new class of dynamic, liquid, and asset-backed NFTs.

AI Agents as NFTs: The Future of Web3

Our AI agents, powered by tokenized Large Language Models (LLMs), are designed to perform complex tasks like market analysis. They offer real-time insights, making data-driven decisions for users in decentralized finance, NFTs, and TRVL apps.

The Role of Tokenized LLMs

By tokenizing LLMs, IkigAI Labs provides users with decentralized control over AI models. Unlike traditional centralized models, tokenized LLMs offer:

Incentivized contribution: Developers and users can fine-tune and deploy their own models, earning royalties from the agent's performance.
Cost efficiency: Distributed infrastructure reduces the cost of running AI agents, making it more affordable for a broader audience.

Interoperability and Decentralization

Our agents integrate seamlessly with dApps, providing real-time data through APIs like The Graph, CoinGecko, and Uniswap. The platform’s decentralized infrastructure ensures data privacy, portability, and security, with users maintaining full control over their AI agents. In addition, we support low-interest borrowing via Cooler Loans (Olympus DAO), allowing token holders to leverage assets at competitive rates without selling them.

HumeAI and Mem0.AI: Voice and Memory Capabilities

To enhance user interaction, our AI agents integrate with HumeAI for voice interaction and Mem0.AI for persistent memory. This enables agents to have emotionally expressive, context-aware conversations while retaining long-term task memory. Whether guiding a user through complex tokenomics or managing multi-step governance processes, these technologies create more natural, human-like AI interactions.

Search and Chain-of-Thought Reasoning

Through Anthropic’s advanced LLMs, our AI agents excel at natural language search and contextual retrieval, providing multi-turn conversational capabilities. Additionally, by integrating Chain-of-Thought (CoT) reasoning with OpenAI’s o1 models, we allow AI agents to break down complex tasks into sequential, logical steps, enhancing decision-making and accuracy in Web3 environments.

Open-Source Focus: Why LLAMA

We prioritize open-source models like LLAMA to maintain transparency, flexibility, and scalability. Unlike proprietary models, open-source models allow us to fine-tune agents for domain-specific tasks such as blockchain auditing and DeFi operations, ensuring that they are aligned with our community's needs. Open-source models also provide cost-efficiency and decentralized ownership, allowing users to control and customize their agents while ensuring full data privacy.

White Paper Draft V0

Generated NFTs are minted with USDC, and our AI agents will automatically convert the USDC into a 0.5% interest loan, backing the NFTs with wrapped Bitcoin (wBTC). This creates a unique system where each NFT is secured by a Bitcoin-based asset, blending the worlds of digital art and decentralized finance.

At IkigAI Labs XYZ, we believe the true power of AI lies in its ability to bridge thought and action seamlessly. By creating AI agents that not only understand complex problems but autonomously execute solutions, we are transforming the way users engage with Web3 and decentralized ecosystems. Our agents are designed to move beyond passive data analysis, turning insights into actionable steps—whether it's executing trades, managing smart contracts, or optimizing governance decisions. As we continue to push the boundaries of what AI can achieve, we are building a future where thought leads directly to action.