Over the next few weeks we'll be releasing a series of deep dive videos into our new prebuilt agent middlewares. We're starting off with one the most popular middlewares, human-in-the-loop! Require approval on sensitive tool calls before execution in just 1 LOC!
@langchain
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LangSmith for Improving Agent Quality at Scale
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Why we built LangSmith for improving agent quality
— LangChain (@LangChain) 4 novembre 2025
As more agents move into production, teams need to move beyond vibe-checking and bring rigor to how they understand agent behavior at scale.
In this video, the LangSmith engineering team and Harrison (@hwchase17) sit down to… pic.twitter.com/q7jrXfWJo1Why we built LangSmith for improving agent quality As more agents move into production, teams need to move beyond vibe-checking and bring rigor to how they understand agent behavior at scale. In this video, the LangSmith engineering team and Harrison (
@hwchase17
) sit down to -
Synapse: Multi-Agent AI Platform for Web Search and Automation
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Synapse: Multi-Agent AI Platform (Made by the LangChain Community) A versatile platform featuring intelligent agents that seamlessly handle web searches, task automation, and complex data analysis through natural language interactions. Explore the project on GitHub
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AI Bank Statement Analyzer: Transform Financial Data Into Insights
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AI Bank Statement Analyzer (Made by the LangChain Community) Transform bank statements into queryable financial insights using AI. This system combines YOLO and LangChain's RAG to enable natural language analysis of your personal finances. Check it out here
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MaxKB: Open-Source Enterprise AI Agents with LangChain RAG
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MaxKB AI Agents (Made by the LangChain Community) MaxKB is an open-source platform that builds enterprise AI agents using LangChain-powered RAG and workflows. It features multi-modal support and seamless integration with both private and public LLMs. Check it out here
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Langrepl CLI: Terminal Tool for LLM Agents with Visual Debugging
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Langrepl CLI (Made by the LangChain Community) A sophisticated terminal tool for building LLM agents with deep agents, featuring persistent conversations and LangGraph Studio integration for visual debugging. Key Features:
– Deep Agent Architecture
– Visual debugging -
AI-Powered Canvas Template with LangGraph and Next.js Stack
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AI-Powered Canvas Template Brandon from CopilotKit released a production template for AI canvas apps. Built with LangGraph for agent coordination, it delivers real-time UI-AI synchronization through a Python-Next.js stack. Watch the walkthrough: https://
youtube.com/watch?v=wTZUFe
lsneg
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Deep Agents Evolution: AI Architecture Scaling from 15 to 500+ Steps
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Deep Agents Evolution A breakthrough in AI architecture enabling agents to scale from 15 to 500+ steps through advanced planning and memory systems, revolutionizing how AI handles complex tasks. Learn more about this evolution https://
philschmid.de/agents-2.0-dee
p-agents
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AI Document Analysis Tool Using LangGraph Swarm Architecture
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Article Explainer An AI document analysis tool that breaks down complex technical articles using LangGraph's Swarm Architecture. The system uses multiple agents to provide interactive explanations and insights through natural language queries. Check it out on GitHub
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AI System Transforms Historical Research into Structured Timelines
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Event Deep Research An AI system that transforms historical research into structured timelines, automatically extracting and organizing biographical data from multiple sources into chronological JSON format. Check out the project https://
github.com/bernatsampera/
event-deep-research
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