沒有程式碼庫，這可能會影響星星的數量輸出標題：AI框架的崛起：Eliza、GAME、Rig和ZerePy

在本報告中，我們討論了加密貨幣和人工智慧領域的幾個主要框架的發展。我們將檢視目前的四大框架－Eliza（AI16Z）、GAME（GAME）、Rig（ARC）、ZerePy（ZEREBRO），並分析它們的技術差異和發展潛力。

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

用於生成NFT集合，引起了社區的關注。然而，由於其有限的用例和區塊鏈集成，其成長速度慢於其他框架，並且在擴大 NFT 和遊戲社群之外的用戶群方面可能面臨挑戰。

Compiled by Odaily Planet Daily (@OdailyChina)

Odaily星球日報編譯（@OdailyChina）

Translator｜Azuma (@azuma_eth)

譯者｜東 (@azuma_eth)

Summary of key points

重點總結

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.

在本報告中，我們討論了加密貨幣和人工智慧領域的幾個主要框架的發展。我們將檢視目前的四大架構－Eliza（AI16Z）、GAME（GAME）、Rig（ARC）、ZerePy（ZEREBRO），並分析它們的技術差異和發展潛力。

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

在過去的一周裡，我們對上述四個框架進行了分析和測試，結論總結如下。

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.

我們相信 Eliza（約 60% 的市場份額，約 9 億美元的市值（截至撰寫本文時），約 14 億美元的市值）將繼續主導市場份額。 Eliza 的價值在於其先發優勢和開發者的加速採用，Github 上有193 個貢獻者、1,800 個分叉和超過6,000 個star 證明了這一點，使其成為Github 上最受歡迎的存儲庫之一。

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（市場份額約為 20%，撰寫本文時市場價值約為 3 億美元，截至撰寫本文時市場價值約為 2.57 億美元）迄今為止非常成功，並且正在經歷快速採用。正如 Virtuals Protocol 早些時候宣布的那樣，目前有 200 多個項目基於 GAME 構建，每日請求量超過 15 萬個，每週增長率超過 200%。 GAME將繼續受益於VIRTUAL的爆發，並有潛力成為生態系統中最大的贏家之一。

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（市佔率約15%，撰寫本文時市值約1.6億美元，截至撰寫時市值約2.79億美元）具有非常有吸引力且易於使用的模組化設計，預計將佔據主導地位Solana 生態系統(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（市場份額約為5％，在撰寫本文時市場價值約為3 億美元，截至撰寫時市場價值約為4.24 億美元）是一個更小眾的應用程序，特定於狂熱的ZEREBRO 社區，其最近與ai16z社群可能會產生一定的綜效。

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.

上述統計中，「市場佔有率」的計算考慮了市值、發展記錄以及底層作業系統終端市場的廣度。

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.

我們認為人工智慧框架將是本週期中成長最快的領域，目前約17 億美元的總市值將輕鬆成長至200 億美元，與Layer1 在2021 年高峰期的估值相比可能仍然保守——當時許多單一項目估值超過 200 億美元。儘管上述框架服務於不同的終端市場（鏈/生態系統），但鑑於我們相信該行業將整體成長，市值加權方法可能相對謹慎。

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.

在人工智慧和加密貨幣的交叉點，出現了多個框架來加速人工智慧的開發，包括 Eliza (AI16Z)、GAME (GAME)、Rig (ARC) 和 ZerePy (ZEREBRO)。從開源社群專案到注重效能的企業解決方案，每個框架都滿足代理商開發的不同需求和理念。

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

在下表中，我們列出了每個框架的關鍵技術、組件和優勢。

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.

本報告將首先關注這些框架是什麼、它們使用的程式語言、技術架構、演算法以及具有潛在用例的獨特功能。然後，我們將根據易用性、可擴展性、適應性和效能來比較每個框架，同時討論它們的優點和限制。

Eliza

伊麗莎

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 開發的開源多智能體模擬框架，旨在創建、部署和管理自主人工智慧智慧體。它是用 TypeScript 作為程式語言開發的，並提供了一個靈活且可擴展的平台，用於建立能夠在多個平台上與人類互動的智慧代理，同時保持一致的個性和知識。

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.

此框架的核心特性包括：多代理架構，支援同時部署和管理多個獨特的AI個性；使用角色檔案框架建立不同代理的角色系統；透過先進的檢索增強生成系統 (RAG) 實現長期記憶和情境感知記憶管理功能。此外，Eliza框架還提供平滑的平台集成，可與Discord、X等社交媒體平台可靠連接。

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 代理通訊和媒體功能的絕佳選擇。通訊方面，該框架支援與Discord的語音通道功能、X功能集成