This article delves into the development trends and investment logic within the AI Agent field, with a particular focus on analyzing framework-based projects in detail. It introduces the basic concepts and functionalities of AI frameworks, and demonstrates their performance and potential across different application scenarios through specific case studies such as Eliza, G.A.M.E, Rig, and ZerePy. Additionally, from technical, market, and investment perspectives, the article compares the similarities between AI Agents and the BTC ecosystem, exploring the significance of bringing AI Agents onto the blockchain and the potential innovations this may bring in the future.
1/16/2025, 6:45:02 AM