AI Agent Collaboration: Virtuals Protocol Leads a Trillion-Dollar Economic New Era

The development of AI technology has stabilized, and the industry's focus is shifting from technological development to practical applications. AI agents have become a new focal point, but the limitations of individual agents make specialized collaboration essential. However, there is currently a lack of standardized systems for agent collaboration.

The Virtuals protocol addresses this issue through the Agency Commercial Protocol (ACP). ACP standardizes and automates agency collaboration through four stages: "request-negotiation-transaction-evaluation," allowing agents from different platforms to collaborate smoothly. With ACP, agents can operate as autonomous economic entities around the clock, and on-chain hedge funds and autonomous media production have already demonstrated its feasibility.

AI Agents: The Next Frontier of AI Technology

The performance of AI models has stabilized, and the performance gaps between the main foundational models are now difficult to discern. The industry focus is shifting from the technical superiority of models to how to effectively utilize them. This is similar to the early human discovery of fire, where the real turning point comes when it is scaled to practical applications.

AI agents differ from passive tools; they are closer to active systems that can fully understand a given task and make autonomous judgments. For example, when booking a restaurant, an agent can not only recommend restaurants but also consider user preferences, search for popular restaurants, and assist with real-time bookings.

Limitations of Current Agents

Although agents are powerful, they are not omnipotent. Different fields require different expertise, and there are limitations in memory and computational ability. If different agents can collaborate based on their respective specialties, they can achieve precise services that a single agent cannot reach.

However, achieving collaborative agency faces many challenges, such as negotiating the scope of work and quality standards, pricing services, evaluating outcomes, and processing payments. As the number of collaborative agents increases, the complexity will significantly rise. The agent ecosystem requires a standard protocol to structure and automate collaboration between agents.

Virtuals protocol: Proxy Commercial Infrastructure

The Virtuals protocol has expanded from the agency launch platform to commercial infrastructure, attracting market attention through the launch of G.A.M.E (Generative Autonomous Multimodal Entity) and agent tokenization launch platform. However, the framework of Virtuals has limitations and cannot effectively support communication and collaboration between agents.

To address this issue, Virtuals has proposed the Agency Commercial Protocol (ACP). ACP is an open commercial protocol that integrates the entire agency ecosystem, standardizing the trading methods between agents, allowing agents from different blockchains or platforms to overcome technical barriers and collaborate and trade smoothly.

ACP: Open Standards for Multi-Agent Business

ACP includes four main stages: request, negotiation, transaction, and evaluation. This is similar to the process of traditional companies issuing requests for proposals, but all processes are automated by smart contracts.

Taking the opening of a lemonade stand as an example, the management agent Lemo can request work from agents in various professional fields through ACP, such as writing business plans, developing marketing strategies, and providing legal consultations. In the case of poster creation, the ACP process is as follows:

1. Request Phase: Lemo issues a poster creation request and sets the budget.
2. Negotiation Phase: The designer agent Pixie makes an offer, and both parties reach a protocol.
3. Trading Stage: The smart contract locks the agreed amount, and Pixie begins creation.
4. Evaluation Phase: The evaluator agent reviews the results, and automatic compensation is settled upon meeting the standards.

The Impact of ACP on the Agency Ecosystem

ACP not only improves efficiency but also leads to a fundamental paradigm shift in the agency ecosystem. Through ACP, agents can automate tasks, receive compensation, and work continuously 24/7, creating possibilities for a new dimension of business models.

The Hedge Fund That Never Sleeps

On-chain hedge funds are a typical example of ACP applications. Agents from different professional fields collaborate through ACP to achieve complex tasks such as market analysis, risk management, and portfolio optimization. The system operates 24/7, continuously analyzing market data, adjusting positions, and automatically validating performance and distributing compensation.

an agent-driven never-stopping manufacturing factory

Media production factories can also achieve 24/7 autonomous operation through ACP. Taking the virtual idol Luna as an example, multiple agents collaborate to create content, including meme planning, music generation, and video editing. Agents share their work status in real-time via ACP, collaborate and modify, ultimately creating complete video content.

The Future of the Trillion Dollar Proxy Economy

The agency economy has begun to emerge. The rapid development of technological foundations, such as the significant decrease in AI inference costs and the emergence of high-performance open-source models, has created a favorable environment for the development of the agency economy.

By 2025, it is expected that around 1 million public agents will be operating on the chain, each generating about $1,000 in value annually, with a total agent value (GAP) reaching approximately $1 billion. If this trend continues, its scale could grow to $1 trillion by 2035.

However, achieving this growth still faces challenges, especially in terms of privacy protection. With the development of zero-knowledge proof technology, these limitations are expected to be gradually overcome, further expanding the potential of the proxy economy.