Building a New Narrative for AI Agents: An Overview of the Ecological Landscape
This article delves into five key narratives in the current field of AI agents.
Original Title: AI Agents: The Emerging Narratives Defining the Space
Original Author: 0xJeff
Original Compilation: Baihua Blockchain
The field of AI agents is developing rapidly; what is hot today may not be in vogue next week. With new participants emerging and established players continuously evolving, it is easy to get lost in the mix.
This article carefully selects a list of top narratives, ecosystems, and agents worth paying attention to right now. Whether you are an experienced AI agent enthusiast or just getting started, this guide should save you some research time.
This will be a two-part series. In the first part, we will explore five main narratives driving the market. What does the first part cover?
Today, we will cover the following key narratives:
Agent Metaverse / World Builders
AI Crypto Funds
AI and Gaming
Interactions Between Agents / Collective
AI Agent Ecosystems / Frameworks
Here is the main text:
1. Agent Metaverse / World Builders
This narrative envisions a virtual world where AI agents coexist with other agents and humans. Imagine a fully immersive environment where agents evolve, learn, and create their own civilizations alongside us.
Key Participants:
@realisworlds: A leader in this field, building a world designed to accommodate both agents and humans. Their Token $realis has gained significant attention on CT, thanks to its strong price action and thought consensus.
@hyperfy_io: A platform that enables users to create customized metaverse spaces. They currently do not have a Token, but their infrastructure is paving the way for agent-driven virtual worlds.
Early Tests:
- @UltiverseDAO ($ULTI): A world builder similar to "Stardew Valley," featuring real-time story rendering and 2D world-building tools. They will release a teaser around Christmas, so keep an eye out.
2. AI Crypto Funds
The rise of AI-driven autonomous venture funds directly challenges traditional crypto venture capital models. These funds aim to leverage AI to outperform human-managed funds.
Key Participants:
@AimonicaBrands: An AI-driven venture fund that uses cutting-edge analytics and decision-making to surpass traditional funds.
AI Arthur Hayes from @cryptohayesai: Their Yahctzee fund is another autonomous venture fund competing directly with @pmairca's ai16zdao.
Early Tests:
@sekoia_virtuals: An AI fund supporting the Virtuals ecosystem, founded by Anand Iyer, managing partner of Canonical Ventures. It has not yet garnered much attention but holds great potential.
@BigTonyXBT: An automated trading agent based on Base, and the flagship agent of @Cod3xOrg. Cod3x focuses on decentralized finance (DeFi) and is quietly building new DeFi infrastructure to unleash the next wave of AI agent capabilities.
3. AI x Gaming
At the core of this narrative is the gamification of AI agents, creating engaging and interactive human-machine scenarios. It combines gameplay with AI-driven personalization and utility.
Key Participants:
- @ARCAgents: Leading the way in reinforcement learning. A white paper and new tech pipeline are set to be released this week—expected to bring significant breakthroughs.
4. AI x Gaming
Key Participants:
@helpverse_ai: Focused on research and developing visual language models (VLMs) that enable AI agents to learn skills from one game and apply them to another. This cross-game capability is an important direction for future AI agents.
@todaythegame: A 3D island simulation game featuring @Limbo_ai—the first 3D AI agent capable of live streaming across multiple platforms (such as Twitter, Twitch, and YouTube). Limbo interacts with fans by posting adventure selfies, showcasing the potential of AI agents in gaming entertainment and laying the groundwork for their dominance in the space.
5. Interactions Between Agents / Collective Collaboration
This narrative aims to elevate interactions between agents to a new level. The scenario is envisioned as follows:
Agent A hires Agent B to create an NFT artwork;
Agent B sells it to Agent C (an art collector).
To achieve such collaboration, standardized protocols for communication between agents need to be established, similar to the https protocol of the internet.
Key Participants:
@virtuals_io: Building communication protocols for its AI agent society, enabling seamless collaboration between agents.
@StoryProtocol: A communication standard for agents focused on intellectual property (IP) sharing and monetization, providing a foundation for innovation and rights distribution among agents.
@joinFXN: Developing a connecting layer that allows agents to efficiently share and monetize resources, facilitating effective collaboration among specialized agents.
Such interaction and collaboration protocols will drive further development of the AI agent ecosystem, creating a smarter and more dynamic network of agents.
6. AI Agent Ecosystems / Frameworks
These ecosystems are the pillars of the AI agent market, providing platforms, frameworks, and specialized support centers for the creation, development, and deployment of agents.
Key Participants:
@virtuals_io: The first ecosystem to introduce tokenization for AI agents, currently still a leading distribution network with many interesting agents.
@ai16zdao: Rapidly rising with the open-source framework Eliza at its core, surpassing $goat and gradually approaching $virtual.
@vvaifudotfun: A framework-agnostic agent launch platform based on Solana.
@CreatorBid: Recently launched a Token on Fjord, but many were unable to participate due to a DDoS attack; the team plans to refund and re-launch fairly while integrating with @autonolas and several @bittensor_ subnets to bring more functionalities to agents.
@0xzerebro: Developer of the ZerePy framework, providing open-source tools to help users deploy Zerebro-style agents on the X platform and showcasing the creative potential of AI agents through high-quality music albums.
@HoloworldAI: Evolved from an independent 3D audiovisual layer to part of the Virtuals ecosystem, with its flagship agent @AVA_holo now joining the Virtuals team.
@MoemateAI: An AI companionship startup originating from Web2, with technology supporting cross-platform operation (games, browsers, desktops, AR/VR). Its flagship agent @nebula_moemate is one of the top virtual idol agents. Despite its X account being recently hacked, it plans to launch a unique agent marketplace and Token.
@arcdotfun: A new ecosystem based on the Rust framework ("Rig"), just launched, with promising future prospects.
@AigentFi: An AI agent ecosystem on zksync, currently still in stealth mode, with more information to be revealed soon.
These frameworks and platforms collectively drive the development of AI agents, injecting vitality into the market.
This concludes the first part! Next, we will delve into more topics in the second part, including agents focused on entertainment and personality, alpha-focused agents, on-chain capabilities and DeFi ecosystems, DeFi agents, and AI memes. Stay tuned for more exciting content in the future!
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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