#LangGraph
525 related articles
Tutorials·2 min
NestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
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Tutorials·2 min
LangChain Unified Interface in Practice: init_chat_model Usage & DeepSeek Troubleshooting Guide
Guide to LangChain's init_chat_model unified interface vs model classes, with DeepSeek V4 Pro thinking mode fix, multi-provider switching tips, and AI Agent integration practices.
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Tutorials·2 min
How Frontend Engineers Can Systematically Build AI Agent Architecture Skills
How frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
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Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
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Tutorials·2 min
AgentSpan in Practice: Building Persistent AI Agents in Python with Crash Recovery and Human Approval
Learn how AgentSpan enables AI Agent state persistence with crash recovery, human approval workflows, and seamless LangGraph integration. Full Python examples included.
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Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
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Product Reviews·2 min
Glutra: A Multi-Agent Collaborative Desktop App for Building Your AI One-Person Company
Glutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
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Tutorials·2 min
Multi-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
A practical guide to building multi-agent collaboration systems, covering assistant creation, skill assignment, group chat mechanisms, and solutions for hallucination in AI workflows.
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Tutorials·1 min
Multi-Agent Collaborative Medical Consultation System: RAG + Local Deployment Practical Guide
A complete guide to building a multi-agent medical consultation system with RAG knowledge retrieval, local LLM deployment, and multi-agent architecture design.
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Industry Insights·2 min
3,500 Enterprise AI Use Cases Reveal: Is AI Investment Actually Worth It?
Survey of 1,000+ enterprises and 3,500 AI use cases reveals: 44% see moderate ROI, 37% see high ROI. AI Agent adoption surged from 11% to 42%. Coding and risk use cases top the charts.
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Deep Dives·1 min
Gemini 3.5 Flash Deep Dive: Google's AI Agent Execution Engine
Google I/O 2025 unveils Gemini 3.5 Flash—4x faster than frontier models, outperforming its own flagship on coding and Agent benchmarks. Deep dive into its core capabilities and industry impact.
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Product Reviews·1 min
Echo Agent Deep Dive: A Self-Hosted AI Agent Operating System
Deep dive into Echo Agent, a self-hosted AI Agent OS featuring four-role collaboration, cognitive memory systems, LLM-driven security approval, and A2A/MCP protocol support.
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Product Reviews·3 min
Herdr: Multi-Agent Terminal Management Tool for Effortlessly Managing Claude Code/Codex Multitasking
Herdr is a terminal management tool designed for AI Agents, supporting visual tracking and free switching between Claude Code, Codex, Aider and more, with remote management and mobile support.
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Deep Dives·1 min
Ralph Loop: The New AI Programming Paradigm That Beats Multi-Agent Systems Through Iterative Trial and Error
Ralph Loop is a 2025 AI programming paradigm: a memoryless AI Agent repeatedly reads the same Prompt, accumulates experience via file systems, beating multi-agent architectures through iterative loops.
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Product Reviews·3 min
Deep Dive into AionUI: What Makes This 24.6k Stars AI Agent Workbench So Powerful
In-depth analysis of how open-source AionUI evolves from chatbox to AI Agent workbench, covering built-in Agents, CLI Agent integration, file deliverables, remote access, and multi-Agent collaboration.
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Deep Dives·3 min
The Essence of AI Alignment: Aligning What to Do, Not How to Do It
The core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
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Tutorials·3 min
AI Agent Context Management in Practice: A Complete Guide from Death Loops to Intelligent Truncation
Deep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
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Tutorials·3 min
AI Agent Development in Practice: 5 Evolutionary Stages from API Calls to Multi-Agent Collaboration
A complete guide to AI Agent development evolution: from API First principles to multi-Agent collaboration, covering prompt optimization, context engineering, and memory mechanisms to build reliable enterprise Agent systems.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Tutorials·2 min
Beginner's Guide to AI Large Language Models: GPU Requirements & Core Tech Stack Explained
2025 complete guide to AI LLMs: local deployment GPU/VRAM requirements (RTX 4090/24GB) and core tech stack including Prompt Engineering, Agents, MCP, LangGraph, and WorkFlow orchestration.
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