Building AI Agents from Scratch: A Deep Dive
Analysis
This article details a fascinating journey into building an AI Agent without relying on pre-built frameworks like LangChain. It offers a unique perspective on the fundamental components of an AI Agent, demonstrating the core principles of observation, judgment, action, and adaptation.
Key Takeaways
- •The project aims to understand the minimal components of an AI Agent.
- •It demonstrates how to create an AI Agent without frameworks.
- •The Agent utilizes an LLM to select the most important files.
Reference / Citation
View Original"The point is that the LLM decides which files to look at."
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Zenn LLMFeb 2, 2026 04:06
* Cited for critical analysis under Article 32.