#LangChain multi-agent
561 related articles
Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Product Reviews·2 min
GPT-4 Thinking In-Depth Review: Real-World Testing of Coding, Agent, and Writing Capabilities
In-depth review of GPT-4 Thinking's real-world performance in coding bug fixes, AI Agent research, and academic writing, compared with Gemini and Claude.
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Tutorials·2 min
Implementing Claude Code in Java: A Complete Beginner's Tutorial for AI Agent Development
An open-source project implementing Claude Code's core features in Java. Master AI Agent architecture, tool calling, task decomposition, and multi-Agent systems through 12 progressive lessons.
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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
Build an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
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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
LangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
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Tutorials·2 min
Practical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Deep Dives·1 min
Qwen3.7 Max Deep Dive: How a 1T-Parameter MOE Architecture Creates the Ultimate Agent Foundation
Deep analysis of Alibaba's Qwen3.7 Max: 1T parameters, MOE architecture, 256K context, leading in agent programming, reasoning, and multilingual tasks with full LangChain/CrewAI compatibility.
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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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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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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Expert Opinions·3 min
Claude Code Creator Shares 3 Battle-Tested Tips: Treat AI Like a Team
Claude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
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Deep Dives·3 min
What Are LLMs, Skills, Agents, and OpenClaude? A Complete Guide to Core AI Concepts
A plain-English guide to LLMs, Skills, AI Agents, and OpenClaude — clarifying how AI evolved from "can talk" to "can act" to "can act autonomously," with a comparison table.
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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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Product Reviews·3 min
Manus Review: A Deep Dive Comparing It to MetaGPT to Reveal the True Capabilities of This AI Agent
A deep review of Manus AI Agent across technology, product, and marketing dimensions, compared with MetaGPT. Core capabilities overlap by 90%+. Is it innovation or packaging?
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Deep Dives·2 min
The MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration
Deep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.
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Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
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