Ethereum agents set for new ERC-8004 standard to power on-chain AI coordination

Ethereum is preparing a new infrastructure layer for ethereum agents, aiming to turn experimental AI tools into first-class on-chain participants.

ERC-8004 introduces standardized AI agent communication

The Ethereum Foundation announced that the network will soon introduce the ERC-8004 standard, designed to formalize agent to agent communication. Until now, most on-chain agentic tasks have been handled in an ad-hoc way, usually with a strong human element.

With ERC-8004, Ethereum wants to make AI-driven, agent-to-agent transactions a core feature of its infrastructure. Moreover, the proposal focuses on agent reputation portability, so that autonomous services can move between protocols and organizations while keeping a consistent trust record.

Under this model, AI agent discovery protocol features will let services identify each other and operate across organizational boundaries. That said, the goal is to allow AI services to join the permissionless on-chain economy based on a reputation score, without extra verification steps, while Ethereum acts as the platform that secures and settles AI-to-AI interactions.

Who is building ERC-8004 and why it matters

The ERC-8004 proposal was created by Marco De Rossi, Davide Crapis, Jordan Ellis, and Erik Reppel, representing MetaMask, Ethereum, and Coinbase. Their work aims to position Ethereum as a hub for AI agent activity and decentralized coordination.

According to the proposal, the standard will support decentralized agent settlement and messaging, so that autonomous agents can communicate and resolve transactions on-chain. Moreover, its designers expect these agents to contribute to near-record Ethereum activity and potentially boost trading in ENS addresses linked to agents.

The ERC-8004 framework uses blockchains to discover AI agents, select suitable participants, and interact without any pre-existing screening. However, it still aims to maintain safety while building an open-ended ethereum ai agent economy that can scale across multiple organizations and use cases.

From novelty bots to infrastructure-level AI participants

In the broader crypto landscape, AI agents are already competing with mainstream product launches, as shown by Cloudflare’s Clawdbot AI. Still, most of these tools have stayed relatively experimental and limited in scope.

The ERC-8004 proposal also outlines several testing trust models, organized in tiers to protect value at risk. Moreover, these models address a wide range of agentic tasks, from simple actions like ordering a pizza to high-stakes transfers or governance decisions.

Even before any mainnet launch, ERC-8004 has already attracted teams working on both agentic tooling and screening solutions. In practice, this could accelerate the shift from novelty bots to serious infrastructure for ai agent to agent communication across DeFi, gaming, and other sectors.

Trust models and technical design for Ethereum agents

To manage risk, developers integrating ERC-8004 will be able to choose between multiple trust models. Options include reputation from client feedback, validation via staking, zero-knowledge machine learning proofs, and trusted execution environment oracles.

These models are meant to protect users and value, while keeping the system flexible enough for open experimentation. However, designers also want to avoid central bottlenecks, so the standard supports modular checks and filters instead of a single gatekeeper.

Because ERC-8004 is designed for portability, it can bring AI agent tools not only to Ethereum mainnet but also to any L2 network within the broader ecosystem. Moreover, the ambition is to enable free agentic activity, backed by sufficient screening and risk controls so that onchain ai agents reputation becomes a meaningful safety signal.

Network activity, ENS demand, and the emerging agent economy

Ethereum activity already remains near an all-time high, with the network still relying mainly on smart contracts, trading bots, and regular users. Ethereum continues to handle nearly 1 million daily active wallets, keeping daily usage close to its historical peak.

Until recently, AI agents across networks were seen as a novelty, dependent on human input and limited automation. Moreover, most early agents prioritized social media presence and basic trading, and some experimented with tokenized economies that still relied heavily on overall crypto market forces.

Real demand for agents is still in its early stages. However, there are visible signs of interest, including a high bid for the agent.eth ENS address. The rise in AI agent creation and usage could revive the ENS market, turning names into important reputational markers in an evolving ethereum erc 8004-driven landscape.

From gamified experiments to core crypto infrastructure

Historically, AI agent creation in crypto has been gamified, notably through experiments such as Base’s AI agent wars. That said, these initiatives often tied agent activity to token launches and speculative trading, reinforcing the hype cycle around autonomous tools.

Ethereum’s new standard seeks to shift that focus from hype to utility. By providing a formal specification for ethereum agents and their communication, ERC-8004 could embed AI-driven services directly into the network’s infrastructure.

If the proposal gains broad adoption, AI agents may evolve from experimental bots into standard components of crypto systems, coordinating value, executing transactions, and supporting users with more reliable, verifiable tools.

In summary, ERC-8004 aims to transform AI agents from ad-hoc experiments into trusted, interoperable actors on Ethereum, combining discovery, communication, and portable reputation to power a more open agent economy.