Using Open Source Framework Versus Industry Standard Like LangChain
Let's break down our implementation strategy for building effective AI agent systems, without relying heavily on standard frameworks like LangChain or LangGraph. Instead of conforming to a rigid architecture, we took a surgical approach: analyzing open-source projects such as AutoKaggle, DS-Agent, and others to extract the most valuable implementation patterns and low-level insights. These community-driven projects often don’t use “industry-standard” frameworks, but they reflect real-world experience in prompt design, data handling, and agent orchestration.
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