Merciii @OuestFrance85 🤣 @OuestFrance 😉

💚 Thank You to Our Open Source Contributors! 💚 To our top contributors: THANK YOU for your code, your ideas, your reviews, and your tireless efforts to make LangChain and LangGraph better for everyone. Whether you're squashing bugs, shipping features, or improving docs — you're shaping the future of AI agents. 🛠️ Check out our top contributors and join us on GitHub: github.com/langchain-ai/lang… @cbornet_: github.com/cbornet @marlene_zw: github.com/marlenezw @sepiatone_: github.com/sepiatone @afirstenberg: github.com/afirstenberg @gbaian10: github.com/gbaian10 @PetersClemens: github.com/clemenspeters @MichaelLi65535: github.com/MichaelLi65535 Mohammad Mohtashim: github.com/keenborder786

Today, we announced that we plan to expand our use of Google TPUs, securing approximately one million TPUs and more than a gigawatt of capacity in 2026.

🔥Today we’re excited to announce new funding for LangChain (at a $1.25B valuation) to allow us to build the platform for agent engineering. LangChain started as a single Python package 3 years ago. Since then, we’ve evolved into a comprehensive platform for agent engineering (LangGraph, LangSmith). Our tools now power AI teams like @Replit, @clay, @harvey, @TrustVanta, @Cloudflare, @Rippling, @Cisco, @Workday , and many more. Over the past three years we’ve iterated from LangChain to LangSmith to LangGraph. Our goal has always been to figure out what the agents of the future look like, and then build tools to help make them real. While our journey is still just beginning, I also want to take this moment to reflect on the past three years and how the space (and our offerings) have evolved. I wrote some personal reflections here: blog.langchain.com/three-yea… We also share more about the funding that will power our future here: blog.langchain.com/series-b/… . Thank you to @IVP , @benchmark , @sequoia , @CapitalG , @SapphireVC , @AmplifyPartners and others for their belief in us. And what I’m most excited about today is that we’re launching a number of new features and products: an insights agent in LangSmith, 1.0 releases of LangChain and LangGraph, and a no-code agent builder. We’ll talk a lot more about these throughout the week. We are in the middle of a transformational technological shift, and are always looking for partners along the way. Whether you have feedback for us, want to work with us, or want to join us - please reach out!

Today, DataStax officially joins @IBM as our acquisition closes. This isn’t just a closing. It’s the beginning. Our mission remains the same -- empowering enterprises and developers to build and scale mission-critical applications. With this new chapter, DataStax and IBM will unlock the power of unstructured data and accelerate AI app development at scale. Why this matters: → With Astra DB, Hyper-Converged Database, and now watsonx.data, we will provide seamless access to both unstructured and structured data for production AI. → With @langflow_ai and watsonx.ai, we’re giving developers the power to design, build, and deploy AI apps faster. → And with Apache Cassandra® at the core, we’re continuing to deliver scale, reliability, and openness at the heart of mission-critical infrastructure. To our customers: IBM’s commitment means a seamless continuation of your journey, with even more support, scale, and innovation behind your most critical data and AI initiatives. Let’s build what’s next, together. 🚀 datastax.com/blog/datastax-j…