In-depth exploration of five key narratives of AI agents

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21 days ago

Author: @Defi0xJeff

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In-depth Exploration of Five Key Narratives of AI Agents

The field of AI Agents is developing rapidly; what is hot today may not be in demand next week. With new participants emerging and established players continuously evolving, it’s 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 the five main narratives driving the market. What does the first part include?

Today we will cover the following key narratives:

  • Agent Metaverse/World Builders
  • AI Crypto Funds
  • AI and Gaming
  • Interactions/Collaborations Between Agents
  • 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 consensus of thought.

@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.

In-depth Exploration of Five Key Narratives of AI Agents

Early Testing

@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 risk 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 capital fund that utilizes cutting-edge analytics and decision-making to outperform traditional funds.

AIArthur Hayes of @cryptohayesai: Their Yahctzee fund is another autonomous venture fund that directly competes with @pmairca's ai16zdao.

In-depth Exploration of Five Key Narratives of AI Agents

Early Testing:

@sekoia_virtuals: An AI fund supporting the Virtuals ecosystem, founded by Anand Iyer, managing partner of Canonical Ventures. It hasn't attracted much attention yet, but it has 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. AIx 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 technology pipeline are set to be released this week, expected to bring significant breakthroughs.

In-depth Exploration of Five Key Narratives of AI Agents

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 gaming entertainment space.

In-depth Exploration of Five Key Narratives of AI Agents

4. Interactions/Collaborations Between Agents

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: Focusing on standards for agent communication that share and monetize intellectual property (IP), 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.

In-depth Exploration of Five Key Narratives of AI Agents

5. AI Agent Ecosystems/Frameworks

These ecosystems are the pillars of the AI agent market, providing platforms, frameworks, and centers of expertise for the creation, development, and deployment of agents.

Key Participants:

@virtuals_io: The first ecosystem to introduce tokenization of 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 features to agents.

@0xzerebro: Developer of the ZerePy framework, providing open-source tools to help users deploy Zerebro-style agents on the X platform and showcase the creative potential of AI agents through high-quality music albums.

@HoloworldAI: Evolved from an independent 3D audiovisual layer to become 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 future performance worth watching.

@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, among others. Stay tuned for more exciting content in the future.

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