LangChain

LangChain Secures $125M Funding to Accelerate Agent Engineering Platform Development

# LangChain Raises $125M to Build the Platform for Agent Engineering We’re excited to announce that we’ve raised **$125M** at a **$1.25B valuation** to advance our mission: **building the platform for agent engineering**. This funding round was led by **IVP**, with participation from existing investors **Sequoia**, **Benchmark**, and

LangChain

A Three-Year Retrospective on LangChain’s Development

LangChain: Three Years of Growth and a $125M Milestone Almost exactly three years ago, I committed the first lines of code to LangChain as an open-source Python package. At the time, there was no company and no grand vision. Just a month later, ChatGPT launched — and everything changed. LangChain quickly

AI agents

Agent Design Patterns: Tool Usage — Integrating External Tools to Break Capability Limits [Translation]

Agentic Design Patterns — Chinese Translation Project Just as Design Patterns became the “Bible” of software engineering, the open-source Agentic Design Patterns — authored by a senior Google engineering director — offers the first comprehensive set of design principles and best practices for the fast-growing AI agents field. Author: Antonio Gulli Foreword: Saurabh

AI agents

Intelligent Agent Design Patterns: Parallel Execution and Performance Optimization [Translated]

Launch of the Agentic Design Patterns Chinese Translation Project Just as Design Patterns served as a cornerstone for software engineering, Agentic Design Patterns—freely shared by a senior engineering director at Google—introduces the first systematic set of design principles for the fast-evolving field of AI agents. Author: Antonio Gulli

AI agents

Agent Design Patterns: Routing Pattern for Intelligent Decision-Making and Dynamic Distribution

🚀 Agentic Design Patterns Chinese Translation Project Just as Design Patterns was once regarded as the bible of software engineering, the free, open-access Agentic Design Patterns — authored by a senior Google engineering director — delivers the first systematic set of design principles for the fast-growing AI agent field. Author: Antonio Gulli Foreword: