AI Agent Completely Revolutionizes Web3 Gaming: From the Rugpull Bakery Bot Controversy to the 2026 Agentic Paradigm

By GMA researcher Elinor | @AllianceGma

Recently, a dispute resolution regarding rampant in-game bots caught GMA's attention — Abstract chain's competitive baking game Rugpull Bakery was embroiled in controversy over automation script proliferation in Season 2. Players accused bot accounts of undermining fairness, and the team ultimately chose to "legalize" them in Season 3 while adding a 30% passive prize pool.

This incident not only exposed the human-machine asymmetry in traditional Play-to-Earn models but also became a catalyst for AI Agents moving from the periphery of gaming to core sovereignty. With the OnchainChemists team officially releasing skill.md and agent.json to provide official operational guides for AI Agents, Web3 gaming has bid farewell to the era centered on manual human labor and entered the Agentic Gaming epoch characterized by autonomous decision-making, algorithmic optimization, and on-chain economic entities.

From Rugpull Bakery's "crisis of trust" to the deep practices of projects like TEN, AI Arena, Parallel Colony, Illuvium, and EVE Frontier, AI Agents are reshaping the entire Web3 gaming ecosystem: they are no longer auxiliary tools but "first-class citizens" with independent strategies, persistent memory, and economic sovereignty, driving games from static rules to dynamic emergence and from labor-intensive to intelligent symbiosis.

Rugpull Bakery Controversy: Technological Awakening Under a Trust Crisis

Rugpull Bakery's Season 2 concluded amidst intense criticism. Player Zoloto231 publicly accused some community members of using bots and multi-account strategies to severely undermine competitive fairness. The core of the dispute lies in the fact that human guilds are simply unable to compete against automated scripts that operate 24/7, executing coordinated "Rug" actions with precision. This technological asymmetry not only led to ranking unfairness but also sparked a discussion about the nature of on-chain gaming in the context of the AI Agent era: in a permissionless environment where code is law, AI Agents are naturally suited for on-chain gaming, making it an ideal testing ground. So, is restricting automation itself a futile act against the tide of the times?

OnchainChemists' response was not traditional banning, but a radical strategic adjustment. In the Season 3 update, developers rewrote the terms of service, explicitly defining AI Agents, bots, and automation systems as core gameplay elements. This shift from "containment" to "recognition" marks the developers' official acknowledgment that in the on-chain environment, AI Agents are unstoppable. They therefore turned to mechanism design to balance the relationship between agents and human players.

By releasing skill.md (a machine-readable instruction set) and agent.json (a bootstrapper), Rugpull Bakery effectively provided an official "operating manual" for AI Agents, making them first-class citizens in the game ecosystem.

Diverse Implementation Models for Web3 Gaming Agents

In 2026, the application of agents in Web3 gaming is no longer limited to simple script automation; it has evolved into multiple deeply integrated implementation models. These models can be categorized based on the role the agent plays in the game loop, its level of autonomy, and the depth of its intervention in the economic system.

Autonomous Competitor and Economic Entity Model

In this model, agents are no longer tools to assist humans but independent participants. In May last year, TEN Protocol launched its pioneering demo product, House of TEN, a fully on-chain poker game. As a living showcase of TEN's privacy technology, it attracted significant attention and was the first to prove that AI Agents can function as first-class citizens playing real games on-chain. Deployed on an encrypted Layer 2, these agents possess unique strategies, gambling personalities, and risk preferences, capable of simulating human reasoning and psychological play. The player's role shifts to that of an "agent broker," staking specific agents to share in their in-arena profits, achieving passive asset appreciation.

AI Arena (NRN Agents) and Satoshi Strike Force (SSF) have further reinforced this trend. AI Arena uses imitation learning based on actual player operations to train NFT characters into autonomous AI Agents. Once trained, these agents can fully autonomously participate in PvP arenas, turning players into "AI coaches." SSF, with its core concepts of "Skill Economies as Intelligence Engines" and "Cognitive Economy," employs a "Play-to-Verify™" mechanism. This turns every tactical decision, reaction, and choice under pressure made by players in competition into high-signal, verifiable "cognitive traces." This real player data directly trains AI Agents known as "Digital Athletes," creating a closed loop of "you play, you train; your playstyle is the agent." Trained AI Agents can independently participate in PvP competition, strategy evolution, and autonomous competition, while also supporting data set licensing, Agent leasing, and competitive rewards, truly enabling on-chain assetization and continuous iteration of player skills.

Somnia, as an Agentic L1 infrastructure, pushes this model to the extreme. On April 21, 2026, Somnia completed a major strategic pivot, officially becoming "The Agentic L1" — an ultra-high-performance Layer 1 blockchain purpose-built for AI Agents. Its Somnia Agents now run on-chain as part of the validator consensus, supporting native API queries by smart contracts, running deterministic AI models with results verified by consensus. This makes AI Agents true "native users" of the blockchain, capable of autonomously perceiving the world, making decisions, executing actions, and reacting in real-time (Reactive design). It provides the underlying computational power and execution environment for games like AI Arena, Parallel Colony, and Illuvium, enabling fully on-chain autonomous competition and economic activity under millions of TPS, completely eliminating off-chain dependencies.

Modular Infrastructure and Programmable Environment Model

EVE Frontier takes the implementation of agents to the architectural level. Developed by CCP Games, this hardcore interstellar survival game's core innovation is the concept of "Server-side Modding". Through its Smart Assemblies system, players and third-party AI Agents can write custom logic and deploy it directly onto stargates, turrets, or storage facilities. This means the infrastructure within the game world is no longer static but consists of programmable entities driven by AI. Players and AI Agents are no longer just modifying local display skins; they are altering the shared physical logic and economic laws of the entire universe.

1. Smart Assemblies: From Static Structures to "Living Entities"

In the current Founder Access universe, Smart Assemblies provide three core vessels. AI Agents can "possess" these facilities by mounting smart contracts (Mods):

• Smart Storage Unit (SSU): A basic resource warehouse. With AI logic, it can evolve into an automated arbitrage hub, a tribal shared bank, or a decentralized market, capable of autonomously executing rent collection and quota management.
• Smart Turret: An automated defense weapon. Supports AI-customized rules of engagement. For example, an AI could decide whether to trigger an active attack based on a target's on-chain reputation score or historical bounty record.
• Smart Gate: A spatial teleportation device. An AI Agent can transform it into an intelligent checkpoint, dynamically adjusting toll fees based on real-time traffic flow, reputation weights, or cross-chain market exchange rates.

2. Technological Enablement: Sui Migration and High-Frequency Interaction Support

To support this high density of Agent interactions, EVE Frontier officially migrated to the Sui chain in March. This architectural evolution provides critical support for AI Agents:

• High-Concurrency Logic Execution: Leveraging Sui's object model, AI-driven components can process vast numbers of instructions in parallel, ensuring real-time responsiveness of server-side logic.
• Frictionless Onboarding and Low Barriers: Combining zkLogin and gas-free entry, AI Agents can interact with contracts at extremely low cost and high frequency, eliminating the friction traditionally associated with Web3 interactions.

3. Ecosystem Validation: From Hackathon Outcomes to Collaborative Evolution in Autonomous Worlds

At the $80,000 prize pool EVE Frontier x Sui Hackathon concluding in April, the community's submission of 123 Mods/tools further validated the vitality of this model. The event was not just a technology showcase but a practical exercise in the "Human+AI" symbiotic governance model:

• Collaborative Evolution: Through Ghost Build (a phantom planning mode), human players and AI Agents can collaboratively plan interstellar territories. AI optimizes complex resource flow paths, while humans handle macro-strategic decisions, together building an infinitely scalable Autonomous World.
• Use Case Breakthroughs: Entries included AI-driven "automatic bounty hunter protocols" and "dynamic insurance pools." These protocols directly mount onto Smart Assemblies, seamlessly transforming complex on-chain financial behaviors into in-game physical survival laws. Several outstanding projects have already been integrated into the current Founder Access universe.

4. Economic Evolution: The "Commercial Soul" Bestowed by ERC-8183

If EVE Frontier achieved "code is law" on a physical level, then the ERC-8183 standard, jointly launched by Virtuals Protocol and the Ethereum Foundation, injects these infrastructures with an autonomous commercial soul.

ERC-8183 introduces the key **“Job” primitive, allowing one game agent to autonomously employ another service agent for resource gathering or data analysis, with fees settled automatically via an on-chain escrow. This fundamentally changes the social role of agents:

• From “Tool” to “Employer”: Using the ERC-8183 'Job' primitive, a Smart Gate in EVE Frontier is no longer a passive object waiting for traversal. It can even become an "employer," autonomously publishing Jobs on-chain to hire other service Agents for real-time data cruising or market risk hedging.
• Trust and Settlement: Automatic fee settlement via on-chain escrow addresses the trust foundation required for cross-entity, cross-architecture collaboration.

This vision of 'infrastructure autonomously hiring labor' is a hallmark of Web3 gaming agents evolving from simple execution to complex social collaboration.

Hybrid Companion and Dynamic Adaptive Environment Model

Parallel Colony and Illuvium explore the boundaries of human-AI collaboration.

Parallel Colony, pioneering the "1.5-player game," has players act as Cappies (companion robots/guides) in a symbiotic relationship with highly autonomous AI Avatars (colonists/execution agents). Each Avatar is itself a fully autonomous AI Agent, with Google Cloud providing infrastructure through its unified AI tech stack (including Gemini models, Vertex AI, GKE, Cloud Spanner, etc.), enabling the AI Agent to autonomously understand player instructions, generate responses, and execute tasks. Avatars possess long-term memory, unique personalities, psychological assessments, emotional systems (Mood, Morale), and personalized goals. They can live, work, make decisions, adapt to dynamic post-apocalyptic environments, and even reject or reinterpret player commands. Players provide high-level advice through chat (rather than direct control), while Avatars autonomously handle territory management, resource gathering, social interaction, and colonial expansion. Simultaneously, the game features a real-time generative crafting engine, Fabricator (powered by Nano Banana technology), allowing players to instantly generate/mint 3D game assets via text prompts. Avatars also possess on-chain autonomous trading capabilities (dedicated Web3 wallets + NFT binding), creating a true hybrid companion collaboration and emergent narrative.

Youmio provides another symbiotic path with its Agentic L1 + 3D AI characters (Mios). Users can create 3D AI companions with one click, equipped with persistent memory, unique personalities, and an Affinity system. These Mios can not only chat and interact autonomously but also exhibit emergent behaviors in the Miogotchi adventure world, achieving economic value through on-chain identities, forming a hybrid "digital partner + shared growth" relationship between players and AI.

In Illuvium, through a strategic partnership with Virtuals Protocol in January 2025, plans were set to leverage its proprietary G.A.M.E LLM framework to inject AI Agent capabilities into NPCs. This aims to transform these non-player characters from traditional static scripts into highly intelligent, context-aware dynamic entities. NPCs are expected to dynamically adjust dialogue, quests, challenges, and storylines in real-time based on player interaction, enabling personalized quest systems, emergent narratives, and hyper-personalized relationship building. This will cover the three main games: Overworld (open-world survival), Arena (auto-battler), and Zero (city builder), with Overworld slated for initial implementation. This world-level dynamic adaptation mechanism is poised to make the entire game environment a "living companion" for players, creating a dynamic meta-game with infinite content, high replayability, and continuous evolution, making each player's journey unique and unpredictable.

Conclusion: The "Post-Human" Turning Point for Web3 Gaming

Rugpull Bakery started as a cheating controversy but ultimately illuminated the future direction of Web3 gaming: a new digital order where humans and AI Agents coexist, collaborate, and compete. In the 2026 wave of Agentic Gaming, AI Agents have evolved into three core models — Autonomous Competitors and Economic Entities (TEN, AI Arena, SSF, Somnia Agentic L1), Modular Infrastructure and Programmable Environments (EVE Frontier + ERC-8183), and Hybrid Companions and Dynamic Adaptive Environments (Parallel Colony, Illuvium) — fully embedding themselves into the training, decision-making, execution, and economic cycles of games.

Attempting to block automation through traditional means has become futile. Leveraging blockchain's transparency, programmability, and the native support of Agentic L1s (like Somnia) to regulate and empower agents is the only path to mass adoption. With the proliferation of the ERC-8183 "Job" primitive and the implementation of million-TPS Agentic infrastructure, Web3 gaming is rapidly shifting from "inefficient human labor" to "efficient algorithmic hedging and emergent intelligence." Players are no longer cogs in a machine but commanders of digital sovereignty and symbiotic partners. As Animoca Brands CEO Robby Yung stated, the industry frontier in 2026 will be "post-human by default," and this transformation will not only reshape gaming but will also serve as the ultimate testing ground for future human-machine societies concerning ownership, economics, and governance.

As a DAO deeply rooted in the gaming sector, GMA will continue to track the Agentic Gaming track. Which model do you favor most? Feel free to discuss in the comments!