The Multi-Agent Orchestration Layer

The intersection of artificial intelligence and blockchain technology has reached an inflection point. From Goat's rise to Virtuals achieving product-market fit, AI agents are capturing significant mindshare in the crypto ecosystem. While many view this as just another trend, we at Omo have been methodically building since early 2024, watching the agent landscape evolve and mature.

Today, we're excited to introduce Omo - a comprehensive multi-agent coordination layer that enables both users and developers to create and orchestrate networks of specialized on-chain agents. Our mission is to make blockchain technology more accessible and useful by letting anyone harness the power of AI agents for on-chain activities.

The Current State of Web3 AI Agents

The emergence of AI agents in crypto has sparked tremendous excitement, particularly with projects like ai16z and various memecoin experiments like @tee_hee_he from the Flashbots team, demonstrating the potential for automated on-chain interactions. However, this rapidly growing ecosystem faces several critical challenges that need to be addressed.

Deteriorating User Experience

The Web3 industry has grown complacent with subpar user experiences, accepting multiple transaction confirmations and complex wallet interactions as the norm. While Web2 applications like Uber and Amazon have refined their interfaces to near-instant gratification, blockchain interactions often require 4-7 separate clicks before users can access basic functionality. Each additional step represents a point of friction where users may abandon the process entirely.

This acceptance of poor UX has created a significant barrier to mainstream adoption. We've normalized experiences that would be considered unacceptable in traditional tech sectors. For instance, connecting a wallet using passkeys - while an improvement - still represents an unnecessarily complex onboarding process compared to Web2 alternatives.

Web2 vs Web3 Agent Limitations

The limitations of current AI agent solutions highlight the need for a blockchain-native approach. Let's examine why existing Web2 solutions fall short:

Security and Privacy Concerns

Web2 AI agents, like Claude's Computer Use feature, operate with broad system access that creates significant security vulnerabilities. These agents can potentially access sensitive files, personal information, and private keys stored on a user's computer. Without proper sandboxing and permission controls, users risk exposing their data to unauthorized access or misuse.

Computer Use Analysis

While Anthropic's Computer Use feature represents an impressive technological achievement, it faces several critical limitations that make it unsuitable for large-scale, permissionless agent deployment:

Scalability Constraints

• API costs become prohibitive at scale. For protocols handling hundreds of thousands of daily transactions, the per-call pricing structure of Computer Use would make it economically unfeasible
• Each Computer Use action requires multiple API calls and screenshots, leading to high latency that would be unacceptable for time-sensitive operations
• The feature is limited to Claude's capacity and availability, creating a central point of failure for dependent applications

Security Risks

Computer Use operates with unrestricted access to the entire desktop environment, creating significant security vulnerabilities. The agent can freely access sensitive documents, passwords, private keys, wallet information, and personal communications without limitation. The lack of a granular permission system means users cannot effectively limit what the agent can access or interact with, leaving systems vulnerable to prompt injection attacks that could compromise user security.

Reliability Issues

In practice, Computer Use exhibits concerning reliability problems that make it unsuitable for critical financial operations. The agent can deviate from intended behaviors, sometimes executing unexpected actions that could have serious consequences in a financial context. Without guaranteed deterministic outcomes and robust error handling mechanisms, it becomes difficult to ensure consistent and predictable transaction execution - a fundamental requirement for any financial system.

Cost and Efficiency

Traditional Web2 agents often rely on payment processors like Stripe to facilitate transactions. This creates an unnecessary middleman that increases costs and adds complexity. For example, if an agent needs to make a payment, it must:

1. Interface with a payment processor
2. Process the payment through traditional banking rails
3. Eventually settle on a blockchain through a bridge or other mechanism

This circuitous route could be eliminated entirely by having agents operate directly on-chain, reducing costs and increasing efficiency.

Control and Verification

Web2 agents lack transparent verification of their actions. Users must trust that the agent will execute tasks as intended, with limited ability to audit or constrain its behavior. On-chain agents, by contrast, can have their actions verified through smart contracts and blockchain transactions, providing clear accountability and predictable behavior patterns.

Limited Agent Creation Options

Existing solutions force users to choose between significant trade-offs. Some platforms require substantial market capitalization before enabling basic functionality, while others limit themselves to specific technological approaches like zkML. There's currently no flexible, end-to-end configurable solution that serves both sophisticated developers and everyday users.

The Omo Solution

Omo addresses these challenges through several key innovations:

1. Simplified Agent Creation

Our platform enables anyone to create and deploy AI agents using natural language, without requiring technical expertise. Whether you're launching a memecoin or implementing automated DAO governance, Omo provides the infrastructure to make it happen seamlessly.

2. On-Chain First

Omo agents are designed to operate directly on-chain, eliminating intermediaries and reducing costs. This approach provides superior security and transparency compared to Web2 alternatives, while maintaining ease of use.

3. Unified Infrastructure

The OmoSDK serves as a comprehensive toolkit for the Crypto x AI ecosystem, similar to what PyTorch is for machine learning. It aggregates essential infrastructure components and provides pre-built agents alongside customization options, accelerating development and deployment.

4. Multi-Agent Orchestration

Unlike single-purpose solutions, Omo enables the coordination of multiple specialized agents working together. This allows for complex automated strategies and more sophisticated on-chain interactions.

The Future of Blockchain Interaction

We believe AI agents represent the next app layer for all product experiences, eventually replacing traditional websites and dApps as the primary way users interact with Web2 & Web3. Just as certain Web2 companies dominate their respective niches, we expect to see specialized agents emerge as leaders in areas like travel, payments, and governance.

Omo is positioning itself as the foundational layer for this future, providing the infrastructure and tools needed to create, deploy, and manage these next-generation agents. By abstracting away the complexity of blockchain interactions behind intelligent agents, we can finally deliver the seamless user experience necessary for mainstream adoption.

What's Next

In the coming weeks, we'll be launching our first suite of consumer-focused agents, demonstrating the practical applications of our technology. These initial deployments will showcase how Omo can make blockchain interaction more intuitive and accessible for everyone.

Reach out to get early access!

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The AI agent revolution in crypto is just beginning, and Omo is here to ensure it reaches its full potential. Join us in building the future of blockchain interaction.