#12
Streaming in LangChain, explained easily
An agent run can take 20 seconds. Streaming fills them, and there are three things you can stream: text, updates and custom.
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#11What is event streaming? Clearly explained
A run emits text, tool calls and state all at once. Event streaming hands them over already separated, one typed channel each.
#10What is short term memory? Clearly explained
The thread id is the whole trick: reuse it and the conversation carries on, change it and the agent starts blank.
#9What are tools in LangChain? Clearly explained
The docstring is not a comment for your teammate, it is the only thing the model reads before deciding to call it.
#8What are messages in LangChain? Clearly explained
Everything the agent knows is one list, and it rereads the whole thing every turn.
#7Models in LangChain, explained easily
The one piece you did not build and cannot control, so what matters is how cheaply you can swap it.
#6What is an AI agent? Clearly explained
What separates an agent from a chatbot: it takes the next step, and knows when to stop and ask.
#5What is LangSmith? Clearly explained
How to see inside an agent once it is running, so you can trust what it did rather than hope.
#4What is LangGraph? Clearly explained
The runtime under the framework: state, checkpoints, and durable execution, in forty seconds.
#3What is LangChain? Clearly explained
The model is the engine and LangChain is the rest of the car: the wiring that turns a model into something that ships.
#2Is LangChain dead in 2026?
It still does 76 million downloads a week, so the interesting question is what changed rather than whether it died.
#1LangChain vs LangGraph vs Deep Agents: the 2026 map
LangChain renamed half its products in 2026, so here is what each piece is now called and what it actually does.
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