Building a New Narrative for AI Agents: An Overview of the Ecosystem Landscape
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Building a New Narrative for AI Agents: An Overview of the Ecosystem Landscape
This article delves into five key narratives in the current AI agent field.
Navigating Web3 tides with focused insightsWritten by: 0xJeff
Translated by: Baihua Blockchain
The field of AI agents is evolving rapidly—what's hot today might be obsolete by next week. With new players emerging and established ones continuously advancing, it's easy to get lost in the noise.
This article carefully curates a list of top narratives, ecosystems, and agents worth watching right now. Whether you're 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 Part 1, we'll explore five major narratives driving the market. What’s included here?
Today, we’ll cover the following key narratives:
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Agent Metaverse / World Builders
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AI Crypto Funds
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AI & Gaming
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Agent-to-Agent Interaction / Swarms
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AI Agent Ecosystems / Frameworks
Here’s the main content:
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 build their own civilizations alongside us.
Key Players:
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@realisworlds: A leader in this space, building a world designed to host both agents and humans. Their token $realis has gained significant attention on CT due to strong price performance and mindshare.
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@hyperfy_io: A platform enabling users to create custom metaverse spaces. They don’t have a token yet, but their infrastructure is paving the way for agent-driven virtual worlds.
Early to Watch:
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@UltiverseDAO ($ULTI): A *Stardew Valley*-style world builder featuring real-time story rendering and 2D world-building tools. They’re expected to release a teaser around Christmas—worth keeping an eye on.
2. AI Crypto Funds
The rise of AI-powered autonomous venture funds directly challenges traditional crypto VC models. These funds aim to leverage AI to outperform human-managed counterparts.
Key Players:
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@AimonicaBrands: An AI-driven venture fund using cutting-edge analytics and decision-making systems to surpass traditional funds.
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@cryptohayesai’s AI Arthur Hayes: Their Yahctzee fund is another autonomous venture fund, competing directly with @pmairca’s ai16zdao.
Early to Watch:
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@sekoia_virtuals: An AI fund supporting the Virtuals ecosystem, founded by Anand Iyer, Managing Partner at Canonical Ventures. It hasn't drawn much attention yet but holds significant potential.
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@BigTonyXBT: A Base-based automated trading agent, flagship of @Cod3xOrg. Cod3x focuses on DeFi and is quietly building new DeFi infrastructure to unlock the next wave of AI agent capabilities.
3. AI x Gaming
At the core of this narrative is gamifying AI agents, creating fun and engaging human-agent interaction scenarios. It combines gameplay with AI-driven personalization and utility.
Key Players:
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@ARCAgents: Leading in reinforcement learning. Set to release a whitepaper and new tech stack this week—expecting major breakthroughs.
4. AI x Gaming (continued)
Key Players:
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@helpverse_ai: Focused on research, developing Vision Language Models (VLMs) that allow AI agents to learn skills from one game and apply them to another. This cross-game capability is a critical direction for future AI agents.
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@todaythegame: A 3D island simulation game featuring @Limbo_ai—the first 3D AI agent capable of live-streaming across multiple platforms like Twitter, Twitch, and YouTube. Limbo interacts with fans by posting adventure selfies, showcasing the entertainment potential of AI agents and laying the foundation for AI-led gaming entertainment.
5. Agent-to-Agent Interaction / Swarm Collaboration
This narrative aims to elevate interactions between agents to a new level. Scenarios include:
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Agent A hires Agent B to create an NFT artwork;
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Agent B sells it to Agent C (an art collector).
To enable such collaboration, standardized communication protocols between agents are needed—similar to https for the internet.
Key Players:
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@virtuals_io: Building communication protocols for their AI agent society, enabling seamless inter-agent collaboration.
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@StoryProtocol: Focused on IP sharing and monetization standards for agent communication, providing a foundation for innovation and rights distribution among agents.
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@joinFXN: Developing a connectivity layer that enables agents to efficiently share and monetize resources, fostering high-efficiency collaboration among specialized agents.
Such interaction and collaboration protocols will drive further development of the AI agent ecosystem, creating smarter and more dynamic agent networks.
6. AI Agent Ecosystems / Frameworks
These ecosystems serve as the backbone of the AI agent market, offering platforms, frameworks, and support hubs for creating, developing, and deploying agents.
Key Players:
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@virtuals_io: The first ecosystem to introduce AI agent tokenization; still the leading distribution network with many interesting agents.
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@ai16zdao: Rapidly rising with its open-source framework Eliza, surpassing $goat and approaching $virtual in momentum.
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@vvaifudotfun: A Solana-based, framework-agnostic agent launch platform.
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@CreatorBid: Recently launched its token on Fjord, but a DDoS attack prevented many from participating. The team plans a refund and fair relaunch, while integrating with @autonolas and multiple @bittensor_ subnets to enhance agent functionality.
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@0xzerebro: Developer of the ZerePy framework, providing open-source tools to help users deploy Zerebro-style agents on X and showcasing AI agents’ creative potential through high-quality music albums.
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@HoloworldAI: Evolved from an independent 3D audiovisual layer into part of the Virtuals ecosystem. Its flagship agent @AVA_holo has now joined the Virtuals team.
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@MoemateAI: A Web2-born AI companion startup with technical support across platforms (games, browsers, desktop, AR/VR). Its flagship agent @nebula_moemate is one of the top virtual idol agents. Despite a recent hack on their X account, they plan to launch a unique agent marketplace and token.
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@arcdotfun: A new ecosystem based on the Rust framework ("Rig"), just launched—worth watching.
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@AigentFi: An AI agent ecosystem on zkSync, currently in stealth mode, with more details coming soon.
These frameworks and platforms collectively advance AI agent development and inject vitality into the market.
That’s it for Part 1! In Part 2, we’ll dive deeper into more topics including personality- and entertainment-focused agents, alpha-seeking agents, on-chain capabilities and DeFi ecosystems, DeFi agents, and AI memes. Stay tuned—future content will be even more exciting!
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