LangChain + Oxylabs Guide Just released a guide showing how to build AI-powered web scraping solutions by combining LangChain's intelligence with Oxylabs' scraping infrastructure. Supports multiple languages and integration methods. Learn more here https://
oxylabs.io/blog/langchain
-web-scraping
…
@langchain
-

LangChain and Oxylabs Guide for AI Web Scraping Solutions
By
–
-

Open-Source LangGraph Agent Generates Authentic Social Media Content
By
–
Social Media AI Agent An open-source project using LangGraph that maintains your authentic social media presence by analyzing your writing style and automatically generating content that matches your voice. Check it out https://
mranand.substack.com/p/social-media
-agent-using-nebius-composio
… -
LangChain Rewrites DeepAgents Package for v1 Release
By
–
We rewrote our deepagents package on top of the upcoming LangChain v1 release! Deepagents excel at agentic tasks by leveraging their planning, filesystem, and sub-task capabilities. We built these features with LangChain middleware (new in LangChain 1.0!), and as a result,
-

LangChain and Manus Partner for Context Engineering Webinar
By
–
Learn Context Engineering Best Practices with LangChain & @manusai We’re excited to share that @RLanceMartin (Founding Engineer, LangChain) and @peakji (Co-founder & Chief Scientist, Manus and recent MIT Innovator Under 35) are teaming up for an upcoming webinar on
-
Production-Grade GenAI Agents: End-to-End Code Tutorials and Blueprints
By
–
@NirDiamantAI
's repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents Guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches -
LangChain Academy Launches Deep Agents with LangGraph Course
By
–
🌟Our latest LangChain Academy course – Deep Agents with LangGraph – is now live!🌟
— LangChain (@LangChain) 18 septembre 2025
Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex.
Today, companies of all sizes –… pic.twitter.com/9tvFwnZHKzOur latest LangChain Academy course – Deep Agents with LangGraph – is now live! Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex. Today, companies of all sizes –
-

LangChain & LangGraph 1.0 Alpha Feedback Session Tomorrow
By
–
Reminder: Feedback Session TOMORROW!
Join us to chat about the LangChain & LangGraph 1.0 alpha We want your thoughts on:
• create_agent • Middleware API • Structured output logic • Standard content blocks With OSS engineers: @sydneyrunkle @huntlovell -
LangChain Joins Auth0 and DigitalOcean for London Dev Night
By
–
We're joining @auth0 and @digitalocean for dev_night London—lightning talks, live demos, and insights from teams shipping AI at scale. Register today:
-
Ambient Agents and Above the Line Approaches with LangChain and Harmonic AI
By
–
Join LangChain CEO Harrison Chase and @harmonic_ai CEO Max Ruderman in NYC as they explore ambient agents and "Above the Line" approaches—moving past manual processes to systems that understand intent and orchestrate intelligent outcomes. RSVP:
-

LangChain SummarizationMiddleware Prevents Context Window Overflow
By
–
Avoid overflowing context windows with LangChain's SummarizationMiddleware. This is especially important for long running conversations that have lots of messages and agent loops with lots of tool calls.