AI

Eliza is not merely a cute AI girl character—it's a powerful, lightweight AI agent framework that enables users to create, deploy, and manage AI agents efficiently. As GitHub's top-ranked AI repository, Eliza features a modular architecture, supports multiple blockchain and platform integrations, and offers extensive extensibility. This article analyzes the project and its underlying ai16z ecosystem through an examination of Eliza's team background, market performance, modular architecture, token economics model, and future plans, while exploring its development potential in the AI agent field.

Earos is a program to make the real world fairer, more efficient, and sustainable by creating a brand-new digital space. Its ultimate goal is to build a digital twin of Earth controlled by AI agents. By leveraging advanced generative AI, physical simulations (VR, AR), and renewable technologies, it aims to make virtual spaces seamlessly interconnected and capable of enhancing reality. Currently, Earos is building a decentralized AI ecosystem, integrating an AI agent model layer that enables everyone to train, validate, and share results in the AI-native era.

Hypurr Fun is a Telegram bot that simplifies meme coin launches and trading on Hyperliquid. Users can join token launches, track performance, and chat with other traders in exclusive Whale Chats. This guide covers Hypurr Fun and its benefits for meme coin traders on Hyperliquid.

Story is an innovative project focused on bringing intellectual property (IP) assets into the blockchain space. This article explores the unique value of IP assets on the blockchain and how Story, by integrating AI agents, creates an entirely new market economy. Story's TCP/IP framework aims to facilitate transactions and interactions between AI agents, creating a novel on-chain economy. Learn how Story, through its technological innovations, helps IP owners generate more revenue and promotes the development of a market economy among AI agents.

Arweave is an innovative decentralized permanent data storage network where users pay a one-time fee to secure lifelong storage services. Unlike other storage networks, Arweave uses a unique "blockweave" structure to ensure the long-term preservation of data. This article provides a detailed introduction to Arweave's technical architecture, growth trajectory, and the economic model of its native token AR. It also explores the AO project built on Arweave, a decentralized network aimed at overcoming the scalability limitations of on-chain computation.

This article delves into the performance of AI16Z and ELIZA in the rapidly developing fields of AI and cryptocurrency, analyzing their operations, market potential, and unique advantages. AI16Z, as an AI-driven venture capital fund, challenges traditional investment norms by integrating AI analysis with community insights. It manages assets exceeding $25 million and has a market value of over $2 billion. The ELIZA framework powers AI16Z by creating and managing autonomous AI agents, supporting rapid prototyping and various use cases.

This article, written by Jan Liphardt, Associate Professor of Bioengineering at Stanford University, delves into the challenges and opportunities of integrating autonomous intelligent robots into human society, as well as the key role blockchain technology plays in this process. The article analyzes the potential applications of intelligent robots in fields such as education, healthcare, and defense, discussing how technologies like decentralized governance and smart contracts support human-robot collaboration and inter-robot collaboration, driving the rapid development of autonomous intelligent robots.

This article provides readers with a carefully selected list of early-stage projects across various fields, including decentralized AI platforms, agent launchpads, collaborative research platforms, decentralized AI consumption ecosystems, smart assistants, DeFi aggregation platforms, and agent infrastructure. It not only introduces the background and core functions of each project but also provides relevant links to help readers learn more and get involved.

Skynet introduces a new approach to autonomous AI agents that fundamentally reimagines how we achieve true autonomy while maintaining security. Rather than attempting to solve the autonomy trilemma through traditional means, Skynet employs a novel architecture based on swarm intelligence and distributed consensus.

Aiccelerate DAO is focused on accelerating the integration of cryptocurrency and artificial intelligence. Its token, AICC, once peaked at a market value of over $400 million, but quickly plummeted by more than 75%. Despite being backed by a renowned team, the project has faced criticism due to insiders rapidly cashing out, token distribution issues, and market fluctuations. This article provides a summary of the key events surrounding AICC for readers to review and consider.

A detailed overview of AIXBT's role as a KOL, financial performance, tech stack, tokenomics, and future development direction.

This article offers a comprehensive overview of AI Agents, examining their development stages and integration with cryptocurrency. It compares AI Agents with traditional large language models, highlighting their key advantages and unique features in decentralization, incentive mechanisms, and sustainability. The article traces the evolution from infrastructure to real-world applications, and presents an overview of leading AI Agent projects and framework standards. Readers will gain a clear understanding of the AI Agent landscape through this beginner-friendly guide.

This article explores the concept of combining DeFi with AI, known as DeFAI, which aims to simplify DeFi operations, optimise trading strategies, and increase profits through artificial intelligence. It also introduces several DeFAI projects, including Griffain, Hey Anon, Mode, and more.

This article delves into the role of AI agents in the digital economy, analyzing the three major waves of agent evolution. It explains the development trends and potential value of the agentic economy, and introduces the "Decentralized AI" stacking framework proposed by Delphi Digital, providing investors with clear directions and references.

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.