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Deep Agents: What LangChain Quietly Built While Everyone Was Arguing About Prompts

6d ago · 12 min read · The "Shallow Agent" Problem Nobody Talks About If you've been following my previous articles on Prompt Engineering and Context Engineering, you know I've been going deeper and deeper into how LLMs act

AKAyush Kumarayushbuilds.hashnode.dev

I Evaluated My AI Agent. Three Decisions Were Wrong.

Apr 17 · 9 min read · In my last post, I built a customer support agent with conditional routing, RAG-grounded responses, and human-in-the-loop approval for billing actions. I ended that post by listing evaluations as the

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I Built a Simulation Where Civilizations Destroy Themselves. Here's What I Learned.

Apr 15 · 6 min read · https://soundcloud.com/pied-papers/building-persistent-ai The premise is simple and slightly deranged: you are the devil. Two civilizations are fighting over a throne that means nothing. You watch fr

AKAyush Kumarayushbuilds.hashnode.dev

Building AI Agents That Know When NOt

Apr 14 · 7 min read · Most AI support agents fail in the same way. They answer questions they should not. A wrong feature explanation is annoying.A wrong refund is expensive.An insensitive reply to a frustrated customer ca

Chatbot with Memory using LangGraph: Building Stateful AI Agents

Apr 14 · 8 min read · Building a chatbot with memory using LangGraph empowers AI agents to recall past interactions, enhancing user experience. LangGraph's state machine model allows for persistent context, making conversations feel more natural and coherent. This approac...

AKAyush Kumarayushbuilds.hashnode.dev

What Actually Happens When You Add Tools to a LangGraph Agent

Apr 8 · 7 min read · Most LangGraph tutorials stop at "it works." This post is about what breaks right after that. There's a big difference between understanding tool calling in theory and wiring it into a production-grad

LLM Memory with LangGraph: State Management for Complex Agents

Apr 7 · 5 min read · What if your AI agent could recall every conversation, every decision, and every piece of information it ever encountered? LLM memory with LangGraph defines how AI agents built using LangGraph manage and use past information. This structured approach...

LangGraph Chatbot with Memory: GitHub Guide and Implementation

Apr 7 · 4 min read · Imagine pouring your heart out to an AI assistant, only for it to ask "What was your name again?" This common frustration stems from a lack of memory in many chatbot projects. A LangGraph chatbot with memory on GitHub is an AI conversational agent bu...

LangGraph Chatbot with Memory Example: Building Persistent Conversations

Apr 7 · 3 min read · What if your AI chatbot could remember every word you said? A langgraph chatbot with memory example builds AI agents that retain conversational context. It uses LangGraph's state management to pass message history between nodes, enabling coherent, hu...