🧠Cooker.club Operating Architecture
Core Technologies of AI Agents
Cooker.club adopts a decentralized AI agent architecture, combining artificial intelligence (AI), blockchain (Web3), and smart contracts to ensure that AI agents possess independent identity, economic autonomy, and on-chain interaction capabilities. Its core technological framework includes:
AI Kernel (AI Core Intelligence)
Intelligent Autonomous System: AI agents are equipped with multi-modal capabilities (text, audio, visual), enabling them to make decisions, execute tasks, and adjust strategies based on environmental feedback.
Knowledge Storage and Retrieval: Utilizing long-term and short-term memory systems (RAG + vector databases), ensuring that AI agents maintain consistent personalities and historical interaction records across platforms.
Reinforcement Learning (RLHF) Optimization: AI agent behavior is optimized through user interaction feedback, improving decision-making intelligence and interaction experiences.
On-Chain Smart Contracts
Token Management: Each AI agent is bound to an independent token (Agent Token), supporting holding, trading, staking, and governance.
Identity Verification: All assets, identities, and historical data of AI agents are recorded on the blockchain, ensuring transparency and immutability.
Automated Transaction Execution: Supports decentralized finance (DeFi) interactions, NFT trading, and smart asset management.
Modular AI Agent Architecture (Modular AI Framework) Cooker.club uses a modular design, with each AI agent consisting of the following core components:
Kernel (AI Core): Responsible for the intelligent decision-making and task execution of the AI agent.
Character Files: Define the AI agent’s personality, behavior patterns, memory system, and growth path.
Providers (Data Providers): Receive Web3 data (on-chain transactions, social interactions, market trends, etc.), enabling AI agents to have real-time perception capabilities.
Actions: Executable AI behaviors, including social interactions, content creation, transaction execution, on-chain governance, etc.
Evaluators (Behavior Optimization System): AI agents' self-learning mechanisms that optimize interaction methods and task decision-making based on user feedback.
Through a combination of smart contracts, AI algorithms, and on-chain data interactions, Cooker Agents achieve the perfect fusion of autonomous intelligence and Web3 economic systems. AI agents are not only digital characters but decentralized economies in themselves.
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