Title: AI Agents: The Emerging Narratives Defining the Space
Author: 0xJeff
Translated by: Bai Hua Blockchain
The field of Artificial Intelligence (AI) Agents is developing rapidly, and what is hot today may no longer be popular next week. With the emergence of new participants and the continuous evolution of established participants, it is easy to get lost in the process.
This article carefully selects a list of top narratives, ecosystems, and agents worth paying attention to at the moment. Whether you are an experienced AI agent enthusiast or just starting out, 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 will be covered in the first part?
Today we will cover the following key narratives:
Agent Metaverse / World Builders
AI Crypto Funds
AI and Gaming
Agent-to-Agent Interactions / Collectives
AI Agent Ecosystems / Frameworks
The following 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 intended to accommodate both agents and humans. Their Token $realis has gained significant attention on CT due to its strong price performance and ideological consensus.
@hyperfy_io: A platform that allows users to create custom metaverse spaces. They don't have a Token yet, but their infrastructure is paving the way for agent-driven virtual worlds.
Early Experiments:
@UltiverseDAO ($ULTI): A Stardew Valley-style world builder with real-time story rendering and 2D world-building tools. They will be releasing 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 capital fund that uses cutting-edge analytics and decision-making to outperform traditional funds.
AI Arthur Hayes of @cryptohayesai: Their Yahctzee fund is another autonomous venture capital fund, directly competing with @pmairca's ai16zdao.
Early Experiments:
@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 great potential.
@BigTonyXBT: An automated trading agent based on Base, the flagship agent of @Cod3xOrg. Cod3x is focused on Decentralized Finance (DeFi) and is quietly building new DeFi infrastructure to unleash the next wave of capabilities for AI agents.
3. AI x Gaming
The core of this narrative is to gamify AI agents, creating engaging and attractive human-machine interaction scenarios. It combines game mechanics with AI-driven personalization and utility.
Key Participants:
@ARCAgents: Leading the charge 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.
4. AI x Gaming
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 showcases the potential of AI agents in game entertainment by releasing adventure selfies and interacting with fans, laying the foundation for AI agents to lead game entertainment.
5. Agent-to-Agent Interactions / 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 achieve 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 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 the further development of the AI agent ecosystem, creating a smarter and more dynamic agent network.
6. AI Agent Ecosystems / Frameworks
These ecosystems are the pillars 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 with the open-source framework Eliza as its core, surpassing $goat and gradually approaching $virtual.
@vvaifudotfun: A Solana-based framework-agnostic agent launch platform.
@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 functionality to agents.
@0xzerebro: The 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 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 technical support for cross-platform deployment (games, browsers, desktops, AR/VR). 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, with promising 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 the end of Part 1! In the next part, we will delve 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, the upcoming content will be even more exciting!
