LangGraph
LangGraph, developed by LangChain, is an open-source framework for building stateful, multi-step AI agent workflows using a graph-based structure to model complex logic and memory.
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Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
1- Product LaunchApr 1, 2026
Became production standard for AI agent frameworks based on enterprise deployments
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3Frequently appears with
6Entities that show up in the same articles — shared coverage, not a stated relationship.
Recent Articles
3How to Wire LangGraph to MCP: Fix the Broken Connection in 5 Minutes
~Connect LangGraph to MCP using MCPClient: call send_request() in your handler, and add retries. This fixes broken agent responses and keeps conversati
82 relevanceBuilding a Production-Ready Agentic Fraud Detection System
+Towards AI published Part 1 of a 4-part series on building a production-ready agentic fraud detection system. The system uses three cooperating agents
78 relevanceBuilding Intelligent Feedback Systems
+A technical guide on building a customer review triage system using LangGraph, LangChain, Groq, and Pydantic. It explains how agentic workflows enable
92 relevance
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Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W30 | 0.50 | 2 |
| 2026-W32 | 0.10 | 1 |