langchain

LangChain announces being a launch partner for NVIDIA's new Open Agent Safety Platform, a collaborative initiative with over 100 industry partners to enhance AI safety.

LangChain announces virtual workshops on building deep agents, focusing on harnesses for reliable complex task management in AI systems.

LangChain is hosting Interrupt, an AI agent conference in London on October 13th, featuring keynote speakers including Usman Javaid from Orange.

LangChain announces a collaboration between Jev and LangGraph as indicated by their tweet.

LangChain hosted a webinar discussing Jev, a tool that enables real-time inference for tasks like content filtering and guardrails, featuring insights from Sydney Runkle and others.

Graph engineering has become a standard method for building AI agents, with frameworks like LangGraph, CrewAI, and AutoGen highlighted for their use in production by companies such as Uber and LinkedIn.

LangChain launches Managed Deep Agents v0.8, adding features like user-owned credentials, user-level memory, HTTP channels, and a web search tool to improve agent deployment in production.

The article explains how to integrate the Jev AI model into an agent orchestration framework for intelligent model routing, risk interception in auto mode, and automated evaluation, referencing a LangChain video for further details.

LangChain announces that Managed Deep Agents 0.8 now supports user memories with privacy controls, managed through Context Hub.

Managed Deep Agents 0.8 enhances the Slack experience with improved permissions, file handling, and search capabilities for streamlined workflows.

LangChain introduces Trajectories in LangSmith, a chronological view of agent sessions that simplifies debugging by aggregating messages from humans, AI, and tools in order for easier navigation and analysis.

LangChain promotes Agent Claw Play for LangSmith Engine in a tweet, inviting users to try out the interactive development tool.

LangChain announced LangSmith Engine v2 with features like red teaming and validated fixes to proactively identify and resolve issues in AI agents before they affect production.

An announcement for talks at the Interrupt main stage covering AI agent building with LangChain, JPMorgan's agent assembly line, and scaling agentic AI at Omnicom.

A fireside chat is happening live with Modal's CEO and co-founder, hosted by LangChain.

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.

LangChain founder Harrison Chase delivered a well-attended opening keynote at a LangChain event, indicating strong interest in the AI framework.

LangChain announces a livestream of a keynote by Harrison Chase to reveal next steps for agents in AI.

LangChain tweets about an agent conference emphasizing the importance of human involvement in the loop.

LangChain introduces scheduling capabilities for Managed Deep Agents, enabling automated execution of AI agents using cron expressions and prompts.