Welcome Dynamic EDGE

In this document, you'll learn what Dynamic Edge is, why Dynamic is the leader in the next generation of web3 AI Agent architectures, as well as its core features and technical architectural stren

NextDynamic Protocol Mcp

Last updated 13 days ago

Welcome Dynamic EDGE

In this document, you'll learn what Dynamic Edge is, why Dynamic is the leader in the next generation of web3 AI Agent architectures, as well as its core features and technical architectural stren

# The Crisis and Paradigm Shift of Web3 AI Agent

AI Agent are hailed as the "redeemer" of the crypto world—a force poised to end outdated narratives and herald a new era for Crypto. Yet, the first-generation Web3 AI Agent ecosystem is mired in structural contradictions:

1. Fragmented Ecosystem and Data Silos

#The absence of unified infrastructure and decentralized application distribution platforms has led to entrenched "data silos" between AI applications. #Projects like #AI16Z, #ARC, #Swarms, and #Myshell attempted to build multi-agent collaboration networks but fell into the trap of "reinventing the wheel" due to reliance on centralized APIs and custom integrations. For instance, #ElizaOS integrated tools like Twitter, Discord, and OpenAI/Claude, yet remained a "stitched-together Web2 stack"—forcing developers to manually adapt APIs and limiting functionality to shallow use cases like prompt engineering, with no capacity for cross-chain interoperability or complex task execution. 2.Path Dependency on Web2 Mindset

First-generation frameworks (e.g., "wallet + LLM + knowledge base" models) grossly underestimated Web3-native demands, treating blockchain merely as a data storage layer rather than a value-flow network.
This architecture spawned two critical failures:
- Interoperability Deficits: The lack of bidirectional interaction protocols between Agent/LLMs required rewriting adaptation layers for each new data source, exploding development costs;
- Erosion of Differentiation: Service frameworks became indistinguishable from Web2 open-source tools, failing to leverage Web3’s composability and decentralization.

3. Capital Market Reckoning

While Web2 AI innovates at a weekly pace, first-gen Web3 AI Agents stagnated due to lagging technical standards and scenario innovation. The market responded with brutal revaluation: capital abandoned "pseudo-decentralized" projects, seeking true disruptors who grasp Web3-native paradigms.

#The direction of breakthrough:

The Paradigm Leap from “AI+Chain” to “AI-as-Chain”