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LangChain demonstrates how LangGraph and LangSmith have accelerated support agent development at Lyft, reducing shipping time from six months to 1-2 weeks with enhanced visibility.
Pizza Bot is an open-source inbox tool for managing long-running AI agent tasks asynchronously, supporting multiple AI providers and cross-platform runtimes like desktop, web, and CLI.
TradingAgents is an open-source multi-agent framework for AI-driven financial trading, supporting multiple AI models and data sources, with checkpointing functionality.
This article introduces a full book on building production-ready multi-agent AI systems using LangGraph, MCP, A2A, and Ollama, with working code and real-world applications.
A tweet outlines key skills such as LangChain, LangGraph, and OpenAI API needed for a six-figure AI Engineer position, with a link to a project for hands-on learning.
LangChain is hosting Interrupt NYC, an AI agent conference featuring talks from Weber Shandwick and focused.io on building agent factories with LangGraph.
A user discusses the challenge of session bloat and state handoff in multi-agent workflows, seeking advice on solutions like state summarization, external databases, or frameworks such as LangGraph and AutoGen.
The article showcases the development of ARK, a runtime supervision layer for AI agents, tested with a LangGraph agent and OpenAI model to enforce constraints by rejecting non-compliant tool calls and facilitating model replanning.
OpenMAIC v1.0.0 is an open-source tool from THU-MAIC that enables one-click generation of AI courses using multi-agent systems for educational purposes.
Airbnb will present at LangChain's Interrupt NYC conference on September 24, 2026, sharing how their Trust organization standardized a production stack using LangChain and LangGraph. The event focuses on AI agents and features multiple industry speakers.
Toyota's enterprise AI team uses LangSmith and Deep Agents to scale AI agent development, reducing production time from 6 months to 4 days and deploying over 50 agents.
A promotional tweet for a book titled '30 Agents Every AI Engineer Must Build', offering guidance on building scalable and secure AI agent systems using proven architectures and tools like LangChain and LangGraph.
A developer asks for architectural recommendations on building a multi-agent LangGraph application with a supervisor to handle dynamic routing, state management, and human-in-the-loop workflows within the same chat session.
Developer ranger0004 showcased an AI front-desk system called Receptics, built with the LangGraph framework. The system orchestrates knowledge base and booking agents to enable 24/7 automated customer service and appointment scheduling.
LangChain's official Agents From Scratch tutorial provides a detailed guide on how to build an AI agent from scratch with human-in-the-loop and memory capabilities, covering four parts: basic setup, evaluation system, human-in-the-loop (HITL), and long-term memory.
LangChain has open-sourced open_deep_research, based on LangGraph's multi-agent architecture, a fully open-source replica of OpenAI Deep Research. It supports multiple models and search tools and can be deployed locally to generate in-depth research reports.
Yohai Nakajima shares Grok's recommendation for hierarchical hands-free agent setups, citing ActiveGraph or LangGraph for runtime, Claude Agent SDK with SKILL.md files for roles, and per-project repositories for knowledge.
LangChain shares a guide by Sydney Runkle explaining the differences and use cases for Deep Agents, LangChain, and LangGraph, with examples to help developers choose the right package.
CopilotKit introduces OpenTag, an open-source, self-hosted assistant that brings AG-UI agents to Slack and Microsoft Teams with generative UI, streaming, and approval workflows. It is built on the Channels SDK and designed to be cloned, customized, and deployed quickly.
Introduces GraphARC, an MIT-licensed open-source tool that lets a model author agent graph topologies at runtime, with a deterministic admission gate for auditable execution, built on LangGraph and running locally via ollama or against cloud APIs.