#multi-agent
362 related articles
Product Reviews·3 min
OpenSwarm Hands-On: Open-Source Multi-Agent System Generates Complete Investment Package from a Single Prompt
Deep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
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Tutorials·3 min
Hermes Orchestrating DeepSeek + MiniMax Dual-AI Collaborative Coding: A From-Scratch Project Test
Testing Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
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Product Reviews·3 min
Cursor 2.0 Deep Dive: Hands-On Testing of Five Major Features Including Custom Models and Multi-Agent Parallel Development
Deep dive into Cursor 2.0's five major updates: custom Composer model, Git Worktrees multi-agent parallel development, Agent View mode, built-in browser, and more—with hands-on evaluation.
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Product Reviews·3 min
Cursor 2.0 Deep Dive: The In-House Composer Model and Five Major Feature Upgrades
Deep dive into Cursor 2.0's five new features: the in-house Composer model with major speed gains, Git Worktree multi-Agent parallel development, Agent View mode, built-in browser, and more.
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Tutorials·3 min
OpenCode Getting Started Guide: Choosing Your Installation Method & Core Features Explained
A detailed guide to OpenCode's three installation methods (Desktop, CMD, WSL) and core features including Agent architecture, custom commands, MCP integration, and Agent Skills.
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Product Reviews·3 min
Hands-On with Replit Agent 4: Multi-Agent Parallel Execution + Canvas Design + One-Click Deployment Full Workflow
Hands-on review of Replit Agent 4: multi-Agent parallel execution, Canvas design, task-level review and merge, and one-click deploy. Full walkthrough building a restaurant landing page for $8.55.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Research·3 min
MementoGUI: A Multimodal Memory Management Framework for Solving Long-Horizon GUI Agent Amnesia
MementoGUI is a plugin-style multimodal memory management framework that solves GUI agent forgetting in long-horizon tasks through dual time-scale memory and four memory control operators, boosting long-task completion without fine-tuning.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Product Reviews·3 min
Deep Comparison of AI Coding Tools: Why OpenClaw Is Not Suitable for Writing Code
Deep comparison of AI coding tools like VS Code and Google IDE, revealing why OpenClaw is just a gateway not a coding tool, with analysis on model binding issues.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Tutorials·3 min
Claude Code Plugin System Explained: Four Core Components Building an Extensible Development Platform
Deep dive into Claude Code 2.0.14's plugin system covering Slash Commands, Sub-agents, MCP integration, and Hooks—with demos on one-click plugin installation and custom code review plugin creation.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Tutorials·2 min
How Enterprise Text-to-SQL Breaks the 90% Accuracy Barrier: A Practical Guide to Agent Architecture
A deep dive into engineering strategies for enterprise Text-to-SQL to break 90% accuracy, covering precise schema retrieval, multi-Agent architecture, self-correction, and AI coding practices.
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Tutorials·4 min
The Complete Guide to Claude Code's Extension System: A Five-Layer Architecture That Doubles Development Efficiency
Deep dive into Claude Code's five-layer extension architecture: Claude.md memory, Skills, MCP services, Subagents, and Hooks. Master the Rule of Three and golden combinations to systematically boost AI coding efficiency.
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