After ERC-8004: What Is the Next Revolution for Trustworthy Agents?

Introduction: A Historical Shift Underway—Agents Are Becoming New Economic Actors

Decades of AI development have, in essence, been solving a single problem: Intelligence.

We taught machines to understand the world, generate content, and reason through logic. From complex natural-language processing to high-dimensional inference and computation, large language models (LLMs) have driven the marginal cost of computing and thinking toward zero. The new wave represented by AI Agents, however, fundamentally changes that problem.

An Agent no longer merely “answers questions.” It begins to understand goals → invoke tools → execute tasks → interact with other Agents → produce real-world outcomes.

This marks an epochal leap for AI: from Intelligence to Agency.

Once digital actors gain the ability to act, an old problem that used to belong only to human society is suddenly pushed to the very front line of Web3: if an Agent is no longer just virtual text inside a chat box, but can call APIs, operate wallets, manage assets, sign on-chain transactions, and even hire other Agents to purchase services—on what grounds do we hand value and permissions to an unfamiliar digital actor?

Unless the cost of trust and friction between unfamiliar Agents can be brought down, the so-called Agent Economy is nothing more than a vision written in white papers. Agent society urgently needs trust infrastructure of its own.

1. ERC-8004: The “Verifiable Trust Entry Point” for the Agent World

This is precisely the significance of ERC-8004, jointly introduced by the Ethereum team and core developers.

As an Ethereum Improvement Proposal (EIP) that has drawn intense attention and been rapidly deployed across major networks, ERC-8004 is becoming a key “Trust Anchor” and “verifiable trust entry point” for Ethereum’s Agentic Economy. It introduces three foundational registries:

1. Identity Registry: “Who is this Agent?”—minting portable, unforgeable native on-chain identity for Agents, giving them digital credentials that can be recognized across platforms.

2. Reputation Registry: “How has this Agent performed in the past?”—establishing structured behavioral feedback and credit records, breaking down data silos so that historical performance credit (Reputation Signals) becomes a composable on-chain reference metric.

3. Validation Registry: “Did it really do what it promised?”—introducing independent validation nodes, stake-secured re-execution, zero-knowledge proofs (zkML), or trusted execution environments (TEE), providing verifiable Proof of Execution for what an Agent does.

The breakthrough of ERC-8004 is that, for the first time, it fuses “Identity + Reputation + Validation” into an open, verifiable trust framework—forging the Agent from a probabilistic algorithmic model into an on-chain Verifiable Agent with minimal trust dependencies.

2. Exploring the Protocol Array: Eight Classes of Infrastructure Problems in the Agent Economy

As ERC-8004 pushes Agent Identity, Reputation, and Validation toward standardization, standard explorations targeting finer-grained questions—Agent authorization, execution, tasks, and security—are accelerating across the Ethereum ecosystem (ERC-8294, ERC-8312, ERC-8370, ERC-8380, ERC-8414, and others).

These proposals do not form an “ERC-8004 official extension protocol family” in any strict sense, but viewed across the full life cycle of an Agent participating in economic activity, together they are piecing together an increasingly complete map of Agent-Native Infrastructure.

If we deconstruct the full process of an Agent taking part in on-chain economic activity, the industry needs to progressively answer eight classes of core infrastructure questions:

The Ethereum ecosystem is exploring the first half of the map—from “identity” to “execution”—at remarkable speed.

But this map also shows the entire industry a very clear hard boundary: even if all of these ERC protocols reach maturity, what the Ethereum ecosystem has largely completed is still the “identity, trust, and execution entry point” for the individual Agent. It still does not answer the second half of the map: “trusted coordination.”

3. The Core Breakthrough: Verifiable Trust Entry Point ≠ Trustworthy Collaboration Network

Precisely because ERC-8004 helped the whole industry anchor its trust entry point, we can now, for the first time, see so clearly: Trust is the beginning. Coordination is the next frontier.

Between owning verifiable individual Agents and standardized invocation protocols, and achieving large-scale complex collaboration, lies an enormous organizational gulf:

1. Root of Intent: a single protocol can answer “what permissions the Agent holds and what code it executed,” but it cannot answer “whose will does this Agent represent? Does its end goal align with the founding intent of the sovereign human?”

2. Contribution Attribution: Validation ≠ Contribution. An Agent proving “I completed the code compilation” does not equal “I contributed 30% of the value that made this project succeed.” When a task is jointly completed by human Builders, digital twins, and multiple external Agents, how is contribution precisely measured and attributed?

3. Multi-Agent Coordination and Scheduling: real productivity scenarios are never a serial chain of single tasks, but a mesh of many actors crossing the virtual-physical divide, asynchronous and parallel: Human / Builder → Digital Twin → Agent A → Agent B → External Network → Human. This mesh structure lies beyond what single protocols can express in terms of “tasks” and “execution.”

4. Value Settlement and Redistribution (Settlement & EcoFi): how is the economic value generated along the way distributed precisely by contribution? More importantly—how do these contributions and reputations settle into long-term digital assets owned by the human principal, instead of leaving behind a scattered pile of on-chain Agent logs?

In one sentence: what ERC-8004 and its extension protocol family establish is Trust Infrastructure; what m&W sets out to build is Coordination Infrastructure.

4. Coopetitive Evolution: From Trust Primitives to Coordination Order

This is exactly where the strategic coordinates of m&W land.

The relationship between m&W and Ethereum’s ERC infrastructure is by no means simple replacement or opposition; it is a multi-dimensional coopetition (Coopetition) relationship:

• Primitives Level: ERC-8004 provides the base primitives of identity, validation, and reputation. m&W integrates these primitives seamlessly, as trusted foundation components inside a higher-order collaboration network.

• Protocol Level: the ERC array defines how an individual Agent is identified, authorized, and executed; m&W goes further, defining how a network of Agents carries out complex task division, state scheduling, and contribution routing around human Intent.

• Order Level: the real strategic competition lies here—once billions of Agents enter the economic system, under what institutional order and interest mechanisms should humans and Agents, and Agents and Agents, coexist harmoniously?

ERC-8004 asks: "Can I trust this Agent?"
   m&W asks: "Can trusted Agents coordinate around human intent?"

Trust infrastructure answers “whom to trust”; coordination infrastructure answers “how to achieve shared goals together.”

5. System Abstraction: Agent-Centric Infrastructure vs. Human-Anchored Coordination

This division of labor reflects two different levels of system abstraction:

Within the m&W architecture, the system achieves human-machine collaboration through three progressive layers:

• Builder (sovereign human / Root of Intent): the source of value, the definer of ultimate goals, and the ultimate bearer of moral judgment and responsibility.

• Digital Twin (Execution Identity): the proxy projection of a Builder’s personal will, preferences, and knowledge base in the digital world, serving as the authorization boundary and hub between the human and the vast Agent Network.

• Agent Network (Task-level Economic Actors): heterogeneous on-chain/off-chain intelligent actors that execute specific specialized tasks within the constraints of the trust and authorization framework.

The core philosophy of m&W: AI gives machines the ability to act, Digital Twins give human will the ability to act, and the trustworthy collaboration network that m&W builds allows that ability to act to scale.

6. Open Architecture: The Coordination Hub Within the Agent-Native Stack

In the open Web3 ecosystem, m&W is by no means a “superior ruling protocol” that blankets everything; it is a Coordination Layer. Within a clearly divided Agent-Native Stack, the protocol layers complement one another:

flowchart TD
    H[Human / Builder] --> I[Intent / Goal]
    I --> MW["m&W Coordination Layer"]
    MW --> T["Identity &amp; Trust<br>(ERC-8004)"]
    MW --> C["Communication<br>(A2A / etc.)"]
    MW --> K["Capability &amp; Tools<br>(MCP)"]
    T --> E["Agent Execution<br>(emerging ERC authorization / task array)"]
    C --> E
    K --> E
    E --> P["Payment / x402"]
    P --> CA[Contribution Attestation]
    CA --> R[Reputation / Ownership]
    R --> EF[EcoFi]

Within this open-source stack:

• MCP solves how Agents standardize the invocation of tools and context;

• A2A solves how Agents transport messages and interact with each other;

• ERC-8004 and the emerging ERC family solve Agents’ on-chain identity, validation, authorization, and execution;

• x402 solves instant machine-to-machine micro-payments (an orthogonal payment layer decoupled from ERC-8004);

• and m&W (Coordination Protocol) plays the role of the coordinating hub, organically orchestrating these underlying capabilities, communication, payments, and trust primitives, so that they revolve around the will of human Builders and become a collaboration network with authorization boundaries, contribution measurement, and an EcoFi economic loop.

Conclusion: Trust Is the Starting Point—Coordination Is the Next Revolution

ERC-8004 has not completely solved every problem of the Agent Economy; rather, it is precisely because of ERC-8004 that the deeper problems of the entire industry have been exposed.

Now that ERC-8004 has established Standardized Trust Primitives, m&W can stand on the shoulders of giants and devote itself fully to building the Coordination Order.

It is like history repeating itself:

• TCP/IP solved the trusted transmission of packets, but the prosperity of the global digital economy came from the web standards, e-government protocols, and social networks built on top of it.

• ERC-8004 established the “verifiable trust entry point” for the individual Agent, but the real explosion of the AI Agent economy depends on the Rules, Relationships, Incentives, Responsibility, and Value Flow built on top of it.

The evolution of human civilization is, in essence, a history of expanding “scale of collaboration.”

Corporations solved the first round of large-scale production collaboration in human society; the internet solved the second—information connection across time and space; and AI Agents are opening the third: large-scale collaboration of productive capacity across the carbon-silicon boundary.

After more than a year of gestation, ERC-8004 has been deployed across 16 networks, and its protocol matrix has largely completed the map of Agent-native infrastructure: Agent Identity, Reputation, Validation, Authorization, Execution, Payment, and other infrastructure are gradually maturing, and the problems of the AI era that remain genuinely unsolved are coming into ever-sharper focus—Contribution, Coordination, Responsibility, and Value Flow.

The ERC-8004 protocol matrix answers “how to trust an Agent”; what m&W is exploring is “how trusted digital actors can create together.”