A developer previously used LangChain with Python and AWS, and has since been running agents on a custom TypeScript-based ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

I want to build an AI agent myself. But I don't know where to start.LangChain is likely the first name you'll hear if you're ...

In my recent introduction to LangChain, I touched briefly on LangSmith. Here, we’ll take a closer look at the platform, which works in tandem with LangChain and can also be used with other LLM ...

What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...

For enterprises, figuring out the right prompt to get the best result from a generative AI model is not always an easy task. In some organizations, that has fallen to the newfound position of prompt ...

Mirascope is a Python library that lets you access a range of Large Language Models, but in a more straightforward and Pythonic way. If you've been used to Langchain to call into various model ...

According to @KyeGomezB, Rust-based Swarms RS runs 100–400x faster than Python agent frameworks, slashing RAM CPU costs for production AI agents.

According to @KyeGomezB, Swarms Rust 0.3.0 is 130×–440× faster with 25×–68× lower memory than LangChain, LangGraph, and CrewAI, boosting agent throughput.

As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison ...