PeopleHub: AI-Powered LinkedIn Intelligence Made by the LangChain Community Open-source LinkedIn intelligence by Meir Kadosh. Uses LangGraph 1.0.1 to orchestrate automated research workflows—profile analysis, parallel scraping, and AI-generated reports. Check it out on
@langchain
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LangSmith Agent Builder Overview No-Code Platform
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LangSmith Agent Builder Overview in Chinese Made by the LangChain Community Agent Builder: a no-code platform with "non-workflow" architecture for flexible AI agents. Built into LangSmith with observability, evaluation, and deployment. Full walkthrough in Chinese by
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Build Deep Agents in LangChain Academy Course
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🌟 Build Deep Agents in our LangChain Academy course 🌟
— LangChain (@LangChain) 28 novembre 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 – from startups to large… pic.twitter.com/fSzwcKsj1QBuild Deep Agents in our LangChain Academy course 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 – from startups to large
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LangChain 1.1 Adds Programmatic Model Capabilities Access
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LangChain 1.1 You can now programmatically access model capabilities and supported features through model.profile. This powers some new features in middleware. One example: SummarizationMiddleware can now dynamically trigger based on the model's available context.
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LangChain Community Jam Session on December 15
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Join our Community Jam Session on Dec 15 (Dec 16 for some APAC zones)! Share your feedback on LangChain 1.0 & 1.1, what’s working, what’s not, and what you love. Your input shapes LangChain’s future! RSVP: https://
luma.com/085nyxmj -
General Purpose Agents: Achieving More with Fewer Tools
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General purpose agents like Claude Code and Manus use remarkably few tools. How? By giving agents access to a computer. With bash and filesystem tools, agents can perform actions without needing specialized bound tools for every task. Skills also offer two key advantages over
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Agent Skills Now Available in Deep Agents CLI
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Agent skills are now available in the Deep Agents CLI, enabling you to use the large and growing collection of public skills with your agents. In this video we discuss: – What agent skills are and why they’re interesting
– How agents make use of skills
– How you can use skills -
LangChain Seeks Agent Engineering Stack Feedback Survey
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If you're building agents, we want your input on the State of Agent Engineering report. Take 5 mins to share your stack, eval approach, and production blockers. We're analyzing real builder data to publish insights back to the community. Survey: https://
bit.ly/agent-engineer
ing-survey
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Deep Agents: Essential Tools and Best Practices Guide
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What are Deep Agents? We break down the key things to know when you’re building an agent to handle more complex tasks: – The 4 essential tools for Deep Agents
– When to use Deep Agents vs LangChain or LangGraph
– Best practices for building Deep Agents Full details in the -
Real Estate Agent Transforms Career to AI Engineer with LangChain
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Check out how Ambassador @gostak_dd leveled up — from real estate agent to AI Engineer — by diving deep into LangChain “How I learned LangChain and became an AI Engineer”