Harrison Chase @hwchase17
@LangChainAI, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analytics Joined July 2014-
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Must read for anyone building/working on Agentic Framework.
@hwchase17 @nfcampos Such a good read
@hwchase17 @nfcampos Really long way we’ve come and long way to go. Such a good read with nostalgia hitting me reading ‘how langchain started’ and thinking we used to had ‘run’ instead of ‘invoke’. I felt lucky to see this ecosystem born and grow in front of my eyes. Keep building team & @hwchase17🦾
New deep dive into the design decisions that went into making 🦜🔗 @LangChainAI LangGraph a production-ready agent framework! Been a real honor to watch @nfcampos cook these last few years. If you've ever wondered "why StateGraph" or "what's a Pregel", find out 👇
New deep dive into the design decisions that went into making 🦜🔗 @LangChainAI LangGraph a production-ready agent framework! Been a real honor to watch @nfcampos cook these last few years. If you've ever wondered "why StateGraph" or "what's a Pregel", find out 👇
Amazing blog post by @nfcampos on the creation of LangGraph!
This was a long time coming, it was a lot of fun to finally write down all the thought that went into langgraph, lmk any comments!
🧱Building LangGraph: Designing an Agent Runtime from first principles @nfcampos wrote a detailed blog on how he designed and built LangGraph, going deeper than any other piece of content we've put out. Includes: 1. what’s different about building agents compared to traditional…
Building AI agents for production comes with unique challenges. In our latest blog, we share how we designed LangGraph to tackle them: 🔹 Why heavy abstractions fail and what really matters for control & durability 🔹 The 6 features every production agent needs in practice 🔹…
We're collaborating with @Microsoft to bring you an intimate meetup in London on the challenge most AI agents face: handle complex projects that require real planning and execution over time. Join us as Harrison Chase (our co-founder & CEO) shares insights on building "Deep…
Most teams want to build AI agents but don't know where to start or what success looks like. 🤔 We're hosting a "How To Build An Agent" meetup in San Francisco to share the exact framework for going from idea to impact — plus connect with other AI builders and chat with our…
One of the nice parts of `langchain` 1.0 is standard content blocks for reasoning, citations, multimodal stuff, etc Has been annoying to see providers implement slightly different variants of these, this should help make it easy to treat these in a standard way
One of the nice parts of `langchain` 1.0 is standard content blocks for reasoning, citations, multimodal stuff, etc Has been annoying to see providers implement slightly different variants of these, this should help make it easy to treat these in a standard way
`langchain` 1.0, now in alpha, ships with improved standardization for reasoning, citations, tool calls, multimodal data, and other content across LLM providers. No more juggling APIs— just one consistent interface. Try it out now in the alpha releases ⬇️ 🐍 Python:…
We raised $85M in Series B funding at a $700M valuation, led by Benchmark. Exa is a research lab building the search engine for AI.
Exciting times! Give it a try and give us feedback to shape our 1.0s
Exciting times! Give it a try and give us feedback to shape our 1.0s
🚨 We’ve just published a recipe to train a frontier-level deep research agent using RL. With just 30 hours on an H200, any developer can now beat Sonnet-4 on DeepResearch Bench using open-source tools. (Thread 🧵)
Just released 1.0alpha releases for LangChain and LangGraph packages Targeting late october to go live with the first major versions for both packages Thoughts? Feedback? Let us know!
Just released 1.0alpha releases for LangChain and LangGraph packages Targeting late october to go live with the first major versions for both packages Thoughts? Feedback? Let us know!
‼️LangChain & LangGraph 1.0alpha releases Today we are announcing alpha releases of v1.0 for langgraph and langchain, in both Python and JS. 🕸️LangGraph is a low-level agent orchestration framework, giving developers durable execution and fine-grained control to run complex…
How Pinterest built their Text-2-SQL workflow: Upcoming Case Study Episode - 2 (Querybook- their in–house open source big data SQL query tool.) tl;dr > Pinterest built Text-to-SQL inside Querybook so users can ask questions in plain English. > They enriched schemas with real…
We finally added it. Grok 4 is live in the hedge fund. Early results: • strong trading reasoning • tight risk controls • fast inference Took just a few lines of code to add with @LangChainAI.

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