@LangChain: In case you missed @hwchase17’s Interrupt Keynote: LangSmith Engine v2 Managed Deep Agents 0.8 LangSmith Trajectories L…

X AI KOLs Timeline Tools

Summary

LangChain announces new features in LangSmith from their keynote, including LangSmith Engine v2 for red teaming, Managed Deep Agents v0.8 with new auth and memory, LangSmith Trajectories for agent session views, and LangSmith Fine-Tuning.

In case you missed @hwchase17’s Interrupt Keynote: ✅ LangSmith Engine v2 ✅ Managed Deep Agents 0.8 ✅ LangSmith Trajectories ✅ LangSmith Fine-Tuning ✅ Custom Apps https://t.co/lt2o5IKIc7 https://t.co/eWzmnxJcS2
Original Article
View Cached Full Text

Cached at: 09/24/26, 10:32 PM

In case you missed @hwchase17’s Interrupt Keynote:

✅ LangSmith Engine v2 ✅ Managed Deep Agents 0.8 ✅ LangSmith Trajectories ✅ LangSmith Fine-Tuning ✅ Custom Apps

https://t.co/lt2o5IKIc7 https://t.co/eWzmnxJcS2


LangChain Blog

Source: https://www.langchain.com/blog

Featured stories

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

What does it mean to “own your intelligence”?

LangSmith Engine v2: Red teaming and automated testing

Managed Deep Agents v0.8: new auth, memory, and channels

Trajectories now in LangSmith: A readable view of every agent session

Recent stories

LangSmith Engine v2: Red teaming and automated testing

Managed Deep Agents v0.8: new auth, memory, and channels

Trajectories now in LangSmith: A readable view of every agent session

Introducing LangSmith Fine-Tuning

Introducing LangSmith Custom Apps: Build custom interfaces around your agent data

The Reliability Layer for Healthcare AI: Common LangSmith Use Cases

Jev is now available in LangSmith Evals

Jev-as-a-Judge for Agent Evals

Building a Harness with Jev

Building an Agent Harness for Life Sciences: Introducing Deep Life Sci

How Included Health Built Federated Agents for Healthcare Navigation with Deep Agents and LangGraph

Scaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizient

How we built LangChain’s Paid Media Agent

How Credit Genie uses OpenWiki to keep codebase knowledge fresh, searchable, and automated

Connections: Managed credentials and per-caller identity for Managed Deep Agents

Organizing Context in a Multi-Agent Harness

We couldn’t find anything matching that.

Try a broader term, or explore all posts.

See what your agent is really doing

LangSmith, our agent engineering platform, helps developers debug every agent decision, eval changes, and deploy in one click.

Similar Articles

[N] LangChain Interrupt 2026 announcements [N]

Reddit r/MachineLearning

LangChain announced SmithDB, a distributed database for agent observability, Context Hub for managing agent context with an open memory standard, and Deep Agents v0.6 at Interrupt 2026, alongside enterprise case studies and keynotes by Andrew Ng and Harrison Chase.

@LangChain: https://x.com/LangChain/status/2060111005917577668

X AI KOLs Following

LangChain's newsletter announces major product launches from Interrupt 2026: LangSmith Engine for automated agent failure diagnosis and fixes, and Sandboxes GA for secure code execution, alongside a new LangChain Labs research initiative and upcoming events.