A Deep Dive into Five Key Narratives of AI Agents

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12-15
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Author: @Defi0xJeff

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Exploring 5 Key Narratives of AI Agents

The field of Artificial Intelligence (AI) agents is developing rapidly, and what is hot today may no longer be in vogue next week. With new participants emerging and established participants constantly evolving, it's easy to get lost in the mix.

This article carefully selects a set of top-tier narratives, ecosystems, and agent lists that are 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's included in the first part?

Today, we will cover the following key narratives:

  • Metaverse Agents/World Builders
  • AI Crypto Funds
  • AI and Gaming
  • Agent-to-Agent Interaction/Collectives
  • AI Agent Ecosystems/Frameworks

Here is the main content:

1. Metaverse Agents/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 space, building a world intended to accommodate both agents and humans. Their Token $realis has gained significant attention on CT, thanks to its strong price action and ideological consensus.

@hyperfy_io: A platform that enables users to create custom metaverse spaces. They don't have a Token yet, but their infrastructure is paving the way for agent-driven virtual worlds.

Exploring 5 Key Narratives of AI Agents

Early Movers

@UltiverseDAO ($ULTI): A Stardew Valley-style world builder with real-time story rendering and 2D world-building tools. They plan to release a trailer around Christmas, so keep an eye out.

2. AI Crypto Funds

The rise of autonomous, AI-driven venture funds directly challenges the traditional crypto venture capital model. These funds aim to outperform human-managed funds by leveraging AI.

Key Participants:

@AimonicaBrands: An AI-driven venture fund that uses cutting-edge analytics and decision-making to outperform traditional funds.

@cryptohayesai's AIArthur Hayes: Their Yahctzee fund is another autonomous venture fund, directly competing with @pmairca's ai16zdao.

Exploring 5 Key Narratives of AI Agents

Early Movers:

@sekoia_virtuals: An AI fund supporting the Virtuals ecosystem, founded by Anand Iyer, a managing partner at Canonical Ventures. It hasn't gained much attention yet, but has significant potential.

@BigTonyXBT: A Base-based automated trading agent, the flagship agent of @Cod3xOrg. Cod3x is focused on Decentralized Finance (DeFi), quietly building new DeFi infrastructure to unlock the next wave of capabilities for AI agents.

3. AIx Gaming

The core of this narrative is to gamify AI agents, creating engaging and compelling human-agent interaction scenarios. It combines gameplay with AI-driven personalization and utility.

Key Participants:

@ARCAgents: A leader in the field of reinforcement learning. They are set to release a whitepaper and a brand-new tech pipeline this week, which is expected to bring major breakthroughs.

Exploring 5 Key Narratives of AI Agents

Key Participants:

@helpverse_ai: Focused on research and development of Visual Language Models (VLMs) that allow AI agents to learn skills from one game and apply them to another. This cross-game capability is an important direction for the future of AI agents.

@todaythegame: A 3D island simulation game, featuring **@Limbo_ai** - the first 3D AI agent capable of live-streaming on multiple platforms like Twitter, Twitch, and YouTube. Limbo's adventure selfies and interactions with fans showcase the potential of AI agents in game entertainment, laying the foundation for their dominance in the gaming entertainment space.

Exploring 5 Key Narratives of AI Agents

4. Agent-to-Agent Interaction/Collective Collaboration

This narrative aims to elevate agent-to-agent interactions to a new level. Imagine scenarios like:

Agent A hiring Agent B to create an NFT artwork;

Agent B selling it to Agent C (an art collector).

To enable such collaboration, we need to establish standardized protocols for agent-to-agent communication, similar to the internet's https protocol.

Key Participants:

@virtuals_io: Building communication protocols for their AI agent society to enable seamless agent-to-agent collaboration.

@StoryProtocol: Focused on Intellectual Property (IP) sharing and monetization agent communication standards, providing a foundation for agent-to-agent innovation and revenue sharing.

@joinFXN: Developing a connectivity layer that allows agents to efficiently share and monetize resources, facilitating the effective collaboration of specialized agents.

These interaction and collaboration protocols will drive further development of the AI agent ecosystem, creating a smarter and more dynamic agent network.

Exploring 5 Key Narratives of AI Agents

5. AI Agent Ecosystems/Frameworks

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

Key Participants:

@virtuals_io: The first ecosystem to introduce AI agent Tokenization, still the leading distribution network with many interesting agents.

@ai16zdao: Rapidly rising, surpassing $goat and approaching $virtual, with the open-source framework Eliza as its core.

@vvaifudotfun: A framework-agnostic agent launchpad on Solana.

@CreatorBid: Recently launched a Token on Fjord, but due to a DDoS attack, many were unable to participate. The team plans to refund and relaunch fairly, while integrating with @autonolas and multiple @bittensor_ subnetworks to bring more capabilities to their agents.

@0xzerebro: The developer of the ZerePy framework, providing open-source tools to help users deploy Zerebro-style agents on various platforms, and showcasing 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 their flagship agent @AVA_holo now joining the Virtuals team.

@MoemateAI: A Web2-originated AI companion startup, with cross-platform (games, browsers, desktops, AR/VR) technical support. Their flagship agent @nebula_moemate is one of the top virtual idol agents. Although their X account was recently hacked, they plan to launch a unique agent marketplace and Token.

@arcdotfun: A new ecosystem based on the Rust framework ("Rig"), just launched and worth keeping an eye on for future performance.

@AigentFi: An AI agent ecosystem on zksync, still in stealth mode, with more information to be revealed soon.

These frameworks and platforms are collectively driving the development of AI agents, injecting vitality into the market.

That's it for the first part! In the second part, we will dive deeper into more topics, including entertainment and personality-centric agents, alpha-focused agents, on-chain capabilities and DeFi ecosystems, DeFi agents, and AI memes. Stay tuned, as the upcoming content will be even more exciting.

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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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