LangChain launches LangChain Labs for continual AI learning · Digg

LangChain launches LangChain Labs for continual AI learning · Digg

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will brown@willccbb

suuuuper excited to be collaborating with the excellent LangChain Labs team on this effort

prod agent tracing is the seed that lets you close the loop for continual learning. too much data gets collected but not used for learning. time to change that :)

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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LangChain@LangChain

Model. Harness. Context.

The 3 main components of agents.

As you build more agents, context increasingly lives AGENTS.md, skills, policies, examples, + generated research files.

Context needs its own home. That’s why we built LangSmith Context Hub.

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LangChain@LangChain

JUST IN: We're launching LangChain Labs.

A new applied research effort focused on Continual Learning.

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Prime Intellect@PrimeIntellect

We are excited to be partnering with @LangChain for deploying self-improving agents.

Continual learning in your production environment unlocks compounding capability gains for model-product optimization.

Your data. Your advantage.

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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LangChain@LangChain

ICYMI: 1️⃣ LangSmith Engine 2️⃣ SmithDB 3️⃣ Managed Deep Agents 4️⃣ LangSmith Sandboxes: Now Generally Available 5️⃣ Context Hub 6️⃣ LangSmith LLM Gateway 7️⃣ Sandboxes, Prebuilt agents, + free model usage in LangSmith Fleet 8️⃣ Deep Agents 0.6 9️⃣ LangChain Labs

https://www.langchain.com/blog/interrupt-2026-overview

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Viv@Vtrivedy10

the future intelligent agents will learn and grow with your team over ultra long timescales 🕰️

that research direction centers around Continual Learning

LangSmith is the data layer that helps us understand massive amounts of tracing data and turn into evals, environments, and targeted improvements for every agent

I’m super excited to work with our early partners to bring this future to everyone 🚀

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Harrison Chase@hwchase17

Jake will be working with a lot of folks on continual learning - if that’s interesting, reach out to him!

Jake Broekhuizen@jakebroekhuizen

An exciting time to be working on Continual Learning and everything around it - if you’re working on any of the areas we outline below, DM me!

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LangChain@LangChain

LangSmith Context Hub gives your team a central place to store, version, and collaborate.

Now, you can manage skills the same way you manage other important parts of your agent systems.

💻 Learn more + get started: https://www.langchain.com/blog/introducing-context-hub

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Sydney Runkle@sydneyrunkle

@LangChain’s Interrupt 2026 conference was a blast!!

such a pleasure to with @VictorMoreira16 about deep agents!

ICYMI: we just dropped v0.6, which is focused on performance at the model, harness, and context layers!

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Niko@nikogrupen

There's a ton on unexplored space in building enterprise-grade agent harnesses that continuously improve over time. Congrats to @hwchase17 and @LangChain on the launch of LangChain Labs and excited to keep pushing the frontier with you all!

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Caspar Broekhuizen@caspar_br

LangChain Labs is live

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Chris 🇨🇦@llm_wizard

💚 🤝 🦜

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Niko@nikogrupen

There's so much complexity in building enterprise-grade agent harnesses that continuously improve over time. Congrats to @hwchase17 and @LangChain on the launch of LangChain Labs and excited to keep pushing the frontier with you all!

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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Julia Schottenstein@j_schottenstein

If your head of applied ai is not 21, ngmi. @BraceSproul and Caroline dropping knowledge at @LangChain Interrupt

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Brace@BraceSproul

I was going to say LangChain Labs is the most exciting thing we’ve announced recently, but with so many launches it’s hard to justify… but still incredibly thrilled to see this get started!! Checkout the blog for more info

Harrison Chase@hwchase17

http://x.com/i/article/2054956421993959424

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NVIDIA AI@NVIDIAAI

@hwchase17 We’re excited to be part of this initiative 🤝

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NVIDIA AI@NVIDIAAI

@llm_wizard Much 💚 for 🦜⛓️

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Sam Hogan 🇺🇸@samhogan

@willccbb ya'll are late to the game! https://docs.inference.net/platform/observe/integrate

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Chris 🇨🇦@llm_wizard

I love it when two things I love do cool stuff together.

will brown@willccbb

suuuuper excited to be collaborating with the excellent LangChain Labs team on this effort

prod agent tracing is the seed that lets you close the loop for continual learning. too much data gets collected but not used for learning. time to change that :)

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Craig Certo@craig_certo

@jakebroekhuizen Hey @jakebroekhuizen

Tried to dm but your inbox is closed 🙂

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