没有代码库，这可能会影响星星的数量输出标题：AI框架的崛起：Eliza、GAME、Rig和ZerePy

在本报告中，我们讨论了加密货币和人工智能领域的几个主要框架的发展。我们将考察当前的四大框架——Eliza（AI16Z）、GAME（GAME）、Rig（ARC）、ZerePy（ZEREBRO），并分析它们的技术差异和发展潜力。

be used to generate NFT collections, which has attracted attention in the community. However, due to its limited use cases and blockchain integration, its growth is slower than that of other frameworks, and it may face challenges in expanding its user base outside of the NFT and gaming communities.output: This article comes from: Deep Value Memetics

用于生成NFT集合，引起了社区的关注。然而，由于其有限的用例和区块链集成，其增长速度慢于其他框架，并且在扩大 NFT 和游戏社区之外的用户群方面可能面临挑战。 输出：本文来自：Deep Value Memetics

Compiled by Odaily Planet Daily (@OdailyChina)

Odaily星球日报编译（@OdailyChina）

Translator｜Azuma (@azuma_eth)

译者｜东 (@azuma_eth)

Summary of key points

要点总结

In this report, we discuss the development of several major frameworks in the field of Crypto & AI. We will examine the current four major frameworks - Eliza (AI16Z), GAME (GAME), Rig (ARC), ZerePy (ZEREBRO), and analyze their technical differences and development potential.

在本报告中，我们讨论了加密货币和人工智能领域的几个主要框架的发展。我们将考察当前的四大框架——Eliza（AI16Z）、GAME（GAME）、Rig（ARC）、ZerePy（ZEREBRO），并分析它们的技术差异和发展潜力。

In the past week, we have analyzed and tested the above four frameworks, and the conclusions are summarized as follows.

在过去的一周里，我们对上述四个框架进行了分析和测试，结论总结如下。

We believe that Eliza (~60% market share, ~$900 million market cap at time of writing, ~$1.4 billion market cap as of writing) will continue to dominate the market share . Eliza’s value lies in its first-mover advantage and accelerated adoption by developers, as evidenced by 193 contributors, 1,800 forks, and over 6,000 stars on Github, making it one of the most popular repositories on Github.

我们相信 Eliza（约 60% 的市场份额，约 9 亿美元的市值（截至撰写本文时），约 14 亿美元的市值）将继续主导市场份额。 Eliza 的价值在于其先发优势和开发者的加速采用，Github 上有 193 个贡献者、1,800 个分叉和超过 6,000 个 star 证明了这一点，使其成为 Github 上最受欢迎的存储库之一。

GAME (market share of about 20%, market value of about $300 million at the time of writing, market value of about $257 million as of writing) has been very successful so far and is also experiencing rapid adoption. As announced earlier by Virtuals Protocol, there are more than 200 projects built on GAME, with more than 150,000 daily requests and a weekly growth rate of more than 200%. GAME will continue to benefit from the outbreak of VIRTUAL and has the potential to become one of the biggest winners in the ecosystem.

GAME（市场份额约为 20%，撰写本文时市场价值约为 3 亿美元，截至撰写本文时市场价值约为 2.57 亿美元）迄今为止非常成功，并且正在经历快速采用。正如 Virtuals Protocol 早些时候宣布的那样，目前有 200 多个项目基于 GAME 构建，每日请求量超过 15 万个，每周增长率超过 200%。 GAME将继续受益于VIRTUAL的爆发，并有潜力成为生态系统中最大的赢家之一。

Rig (market share of about 15%, market value of about US$160 million at the time of writing, market value of about US$279 million as of writing) has a very attractive and easy-to-use modular design and is expected to dominate the Solana ecosystem (RUST).

Rig（市场份额约15%，撰写本文时市值约1.6亿美元，截至撰写时市值约2.79亿美元）具有非常有吸引力且易于使用的模块化设计，预计将占据主导地位Solana 生态系统 (RUST)。

Zerepy (market share of about 5%, market value of about $300 million at the time of writing, market value of about $424 million as of writing) is a more niche application, specific to an avid ZEREBRO community , and its recent collaboration with the ai16z community may produce certain synergies.

Zerepy（市场份额约为 5％，在撰写本文时市场价值约为 3 亿美元，截至撰写时市场价值约为 4.24 亿美元）是一个更小众的应用程序，特定于狂热的 ZEREBRO 社区，其最近与ai16z社区可能会产生一定的协同效应。

In the above statistics, "market share" is calculated by taking into account market capitalization, development record, and the breadth of the underlying operating system terminal market.

上述统计中，“市场份额”的计算考虑了市值、发展记录以及底层操作系统终端市场的广度。

We believe AI frameworks will be the fastest growing sector in this cycle, and the current total market value of about $1.7 billion will easily grow to $20 billion , which may still be conservative compared to Layer1's valuation at its peak in 2021 - when many single projects were valued at more than $20 billion. Although the above frameworks serve different end markets (chains/ecosystems), given that we believe this sector will grow overall, a market cap-weighted approach may be relatively prudent.

我们认为人工智能框架将是本周期中增长最快的领域，目前约 17 亿美元的总市值将轻松增长至 200 亿美元，与 Layer1 在 2021 年高峰期的估值相比可能仍然保守——当时许多单一项目估值超过 200 亿美元。尽管上述框架服务于不同的终端市场（链/生态系统），但鉴于我们相信该行业将整体增长，市值加权方法可能相对谨慎。

Four major frameworks

四大框架

At the intersection of AI and Crypto, several frameworks have emerged to accelerate AI development, including Eliza (AI16Z), GAME (GAME), Rig (ARC), and ZerePy (ZEREBRO). From open source community projects to performance-focused enterprise solutions, each framework caters to different needs and philosophies of agent development.

在人工智能和加密货币的交叉点，出现了多个框架来加速人工智能的开发，包括 Eliza (AI16Z)、GAME (GAME)、Rig (ARC) 和 ZerePy (ZEREBRO)。从开源社区项目到注重性能的企业解决方案，每个框架都满足代理开发的不同需求和理念。

In the table below, we list the key technologies, components, and advantages of each framework.

在下表中，我们列出了每个框架的关键技术、组件和优势。

This report will first focus on what these frameworks are, the programming languages they use, technical architectures, algorithms, and unique features with potential use cases. We will then compare each framework based on ease of use, scalability, adaptability, and performance, while discussing their strengths and limitations.

本报告将首先关注这些框架是什么、它们使用的编程语言、技术架构、算法以及具有潜在用例的独特功能。然后，我们将根据易用性、可扩展性、适应性和性能来比较每个框架，同时讨论它们的优点和局限性。

Eliza

伊丽莎

Eliza is an open source multi-agent simulation framework developed by ai16z, designed to create, deploy and manage autonomous AI agents. It is developed in TypeScript as a programming language and provides a flexible and extensible platform for building intelligent agents that are able to interact with humans on multiple platforms while maintaining consistent personality and knowledge.

Eliza 是 ai16z 开发的开源多智能体模拟框架，旨在创建、部署和管理自主人工智能智能体。它是用 TypeScript 作为编程语言开发的，并提供了一个灵活且可扩展的平台，用于构建能够在多个平台上与人类交互的智能代理，同时保持一致的个性和知识。

The core features of the framework include: a multi-agent architecture that supports the simultaneous deployment and management of multiple unique AI personalities; a role system for creating diverse agents using a role file framework; and long-term memory and context-aware memory management capabilities through an advanced retrieval-augmented generation system (RAG). In addition, the Eliza framework also provides smooth platform integration, which can be reliably connected with Discord, X, and other social media platforms.

该框架的核心功能包括：多代理架构，支持同时部署和管理多个独特的AI个性；使用角色文件框架创建不同代理的角色系统；通过先进的检索增强生成系统 (RAG) 实现长期记忆和上下文感知记忆管理功能。此外，Eliza框架还提供平滑的平台集成，可以与Discord、X等社交媒体平台可靠连接。

Eliza is an excellent choice for communication and media capabilities of AI agents. In terms of communication, the framework supports integration with Discord's voice channel feature, X function

Eliza 是 AI 代理通信和媒体功能的绝佳选择。通信方面，该框架支持与Discord的语音通道功能、X功能集成