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Deconstructing Autonomous Agents in Crypto
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Frameworks & Projects

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LangGraph Deep Dive: Building a Cyclical DeFi Agent Step by Step, and Three Pitfalls Along the Way

LangGraph makes loop logic easier to write, and correspondingly, easier to accidentally write a runaway loop without discipline. None of the three pitfalls this article records are things an official tutorial tells you, because official examples are usually designed too simply to trigger these scenarios at all.
Knowing LangGraph expresses loops and conditional branches with a graph structure is one thing; actually building an Agent that uses these features is another. This article won't repeat LangGraph's basic concepts (Node, edge, state definitions) — instead, it walks through the actual design and implementation process using a concrete DeFi yield-optimization Agent as an example, and records...
Frameworks & Projects
DeFi Agent Framework Deep Comparison: Why LangGraph Leads, and How Other Frameworks Actually Perform in DeFi
Core DeFi Agent framework selection criterion: forced read/write tool...
Frameworks & Projects
Five Mainstream Onchain Agent Frameworks in 2026: LangGraph, ElizaOS, AutoGen, Olas, ZerePy — Who Each One Is For
The core principle for choosing an Onchain Agent framework: not picking 'the...
Frameworks & Projects
AutoGen vs LangChain vs ElizaOS: Which Framework to Choose — A Complete Decision Guide for Crypto AI Agent Developers
AutoGen vs LangChain vs ElizaOS — 'which is best' is the wrong question....
"LangGraph makes loop logic easier to write, and correspondingly, easier to accidentally write a runaway loop without discipline. None of the three pitfalls this article records are things an official tutorial tells you, because official examples are usually designed too simply to trigger these scenarios at all."
— AI Agent Bible
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