without a code base, which may affect the number of starsoutput title: The Rise of AI Frameworks: Eliza, GAME, Rig, and ZerePy

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.

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

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

Compiled by Odaily Planet Daily (@OdailyChina)

Compiled by Odaily Planet Daily (@OdailyChina)

Translator｜Azuma (@azuma_eth)

Translator｜Azuma (@azuma_eth)

Summary of key points

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.

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

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.

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.

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).

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.

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.

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.

Four major frameworks

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.

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

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

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.

Eliza

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.

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.

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