generative-ai-agents
AI entities that use large language models (LLMs) to perform complex, multi-step tasks and make decisions autonomously.
Unlike standard chatbots that just respond to text, Generative AI Agents can 'act'. They have access to tools (like browsers, code executors, or crypto wallets) and use a 'Reasoning-Act' (ReAct) loop to achieve a goal. In Web3, these agents can manage portfolios, trade assets, and interact with smart contracts without human intervention.
graph LR
Center["generative-ai-agents"]:::main
Pre_generative_ai["generative-ai"]:::pre --> Center
click Pre_generative_ai "/terms/generative-ai"
Rel_prompt_engineering["prompt-engineering"]:::related -.-> Center
click Rel_prompt_engineering "/terms/prompt-engineering"
Rel_retrieval_augmented_generation["retrieval-augmented-generation"]:::related -.-> Center
click Rel_retrieval_augmented_generation "/terms/retrieval-augmented-generation"
Rel_agentic_ai["agentic-ai"]:::related -.-> Center
click Rel_agentic_ai "/terms/agentic-ai"
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🧠 Knowledge Check
🧒 Explain Like I'm 5
A regular AI is like a book you can ask questions. An [AI Agent](/en/terms/ai-agent) is like a smart robot employee. You give it a task (like 'Buy me the best flight to Paris') and it goes and does all the steps for you.
🤓 Expert Deep Dive
Driven by frameworks like LangChain or AutoGPT. AI agents use 'Chain-of-Thought' reasoning to break down goals into sub-tasks. In the context of blockchains, they form the basis of 'Autonomous Worlds' and automated DeFi strategies.