Explore the shift towards context engines in AI systems by 2026, focusing on the consolidation of agent frameworks and the ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

This paper presents a multi-agent diagnostic framework for fault identification in manufacturing, leveraging MES-generated logs, Operational Data Store (ODS) metadata, and structured reasoning. The ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

Eric Jing is on a mission to shift people from just talking with chatbots to using AI as an everyday companion to get work done, all from one platform. That platform is Genspark Super Agent from ...

AI agents are already changing how work gets done across industries. They automate tasks, collaborate with people, and accelerate productivity. In fact, IDC predicts there will be 1.3 billion agents ...

What if you could build your own AI agent, one that operates entirely on your local machine, free from cloud dependencies and API costs? Imagine having complete control over your data, making sure ...

LangChain and LangGraph have reached their first major version milestones, introducing enhanced features for AI agent development and execution, according to the LangChain team. LangChain and ...

LangChain raised $125 million at a $1.25 billion valuation, the company announced on Monday. TechCrunch reported in July that the provider of a popular open source framework for building AI agents was ...