🅰️ Claude Sonnet 4.5 + LangSmith 🦜🛠️
ICYMI - @AnthropicAI just dropped Claude Sonnet 4.5!
LangSmith just shipped both cost-tracking and prompt playground support, allowing you to quickly discover how this powerful new model impacts your agents.
Get started with docs below 👇
📖 New features in Claude Sonnet 4.5
Along with a new model, Anthropic released new API features today, including features for context management and a built-in tool for (client-side) storage and retrieval of memory.
Now available in langchain (python)
If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng.
Well....now you can get user feedback in under 60 seconds :)
Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research…
If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng.
Well....now you can get user feedback in under 60 seconds :)
Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research… https://t.co/JMyBiIjmEx
Great blog from our friends at @TryArcade on agent auth
See how to integrate auth with LangGraph. One of the things needed for proper auth flows is good "human-in-the-loop" flows - something LangGraph is uniquely good at
blog.arcade.dev/agent-authoriz…
Standardizing reasoning, citations, server-side tool calls, and other modern LLM features across providers has been a central focus to our v1 development - read more in our blog post ⤵️
blog.langchain.com/standard-messa…
Standardizing reasoning, citations, server-side tool calls, and other modern LLM features across providers has been a central focus to our v1 development - read more in our blog post ⤵️
blog.langchain.com/standard-messa…
📚 🔍 RAGLight: Open Source RAG Library
A lightweight Python library for building production-ready RAG systems, featuring LangGraph-powered agent pipelines and multi-provider LLM support with built-in GitHub integration and CLI tools.
Check out RAGLight now! 🚀…
🗄️🤖 Azure PostgreSQL + Agents
Microsoft launched a native Azure PostgreSQL connector that unifies agent persistence for the LangChain ecosystem, delivering enterprise-ready vector storage and state management in one database.
Explore the enterprise AI agent solution 👉…
🔍 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 👉 oxylabs.io/blog/langchain…
🤖 🐦 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 🚀
mranand.substack.com/p/social-media…
LangChain x VibeWeave x CelHive meetup in Sep 20 was a huge success!
Friends from multiple cities gathered in Shanghai to share insights, products, and experiences around LangGraph and AI agents. It was truly refreshing to have a dedicated meeting space for face-to-face talks.
LangChain v1's new middleware API is super versatile. This migration is a testament to the value of middleware's composability.
Deepagents uses a combo of these middlewares:
✅planning
🗄️file system
🧑🤝🧑subagents
👱human in the loop
♻️prompt caching
🧠summarization
LangChain v1's new middleware API is super versatile. This migration is a testament to the value of middleware's composability.
Deepagents uses a combo of these middlewares:
✅planning
🗄️file system
🧑🤝🧑subagents
👱human in the loop
♻️prompt caching
🧠summarization
🚀 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,…
Learn Context Engineering Best Practices with LangChain & @ManusAI_HQ 🛠️
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…
Introducing Composite Evaluators in LangSmith
📊Combine multiple evaluator scores into one metric for a complete view of your app’s performance.
➕Supports weighted averages or weighted sums with configurable weights.
Learn more 👉 docs.langchain.com/langsmith/comp…
🔐🤖 Warden Agent Hub
Built on LangChain, this privacy-first protocol enables secure AI agent communications through Trusted Execution Environments, delivering enterprise-grade security in a decentralized architecture.
Discover secure AI infrastructure in action 🔒…
🔄☁️ AI Resilience
Build robust AI systems with Digital Ocean's Gradient AI Platform and LangChain's automatic LLM fallbacks. Our implementation ensures zero downtime by switching between models during outages.
Learn how to build reliable AI systems 🎥
youtube.com/watch?v=6Ff6AU…
🤖 Deep Agents with LangGraph Course
We've just launched a course on building production-ready AI agents with LangGraph. Learn to create powerful agents that can execute complex, multi-step tasks effectively.
Master advanced agent development at academy.langchain.com 🎓
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