#multi-agent systems
89 related articles
·4 min
Five Common Misconceptions in AI Agent Development: An Essential Guide Before You Start
Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.
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·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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·2 min
Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents
Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
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·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.
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Tutorials·2 min
MCP Protocol in Practice: Building an AI Investment Analysis Agent with TradingView + Notion
A detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Tutorials·2 min
Multi-Agent Collaborative Novel Writing: A Practical Tutorial from Template Setup to Continuous Creation
Learn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
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Tutorials·2 min
AI Agent Team Automating Short-Video Production: A Complete Workflow from Raw Material to Publishing
Learn how multiple AI Agents form a collaborative team to automate short-video production end-to-end—from material mining and script generation to video packaging and cross-platform RPA publishing.
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Tech Frontiers·3 min
GPT-5.6 Internal Testing Begins: A Complete Breakdown of the Week's Biggest AI Developments
GPT-5.6 internal testing launches UltraFast mode, Codex goal-driven mode revolutionizes AI programming, MiniMax cuts costs 360x, Anthropic vs OpenAI valuation war, Cerebras IPO raises $5.55B, Figure robot validates 8-hour autonomous ops, Google Vio 3.1 leads AI video.
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Tech Frontiers·3 min
Windsurf Rebrands as Devin Desktop: A Complete Breakdown of the Multi-Agent Collaborative IDE Platform
Windsurf rebrands as Devin Desktop with Agent Command Center for multi-agent management, open-source ACP protocol, and a Rust-rewritten local Agent. Full breakdown of the upgrade and platform strategy.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Product Reviews
How a 5-Person Team Reimagined the Ent…
·3 min
How a 5-Person Team Reimagined the Entire Software Development Workflow with Codex: A Real-World Case Study
How a 5-person fleet management team uses OpenAI Codex to revolutionize efficiency: non-technical staff build products independently, orchestrator pattern for layered scheduling, and verify-first mode for code quality.
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Product Reviews·3 min
FreeBuff: A Free AI Coding Agent Integrating Top Models Like DeepSeek V4
FreeBuff is a completely free AI coding agent integrating DeepSeek V4 Pro, Kimi K2.6, MiniMax M2.7 and more. Nine sub-agents handle the full workflow from project building to code review.
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Tutorials·3 min
GenSpark's Six AI Agents in Action: A Complete Guide for Building a One-Person Company
A practical guide to GenSpark's six AI Agents: AI Developer for websites, AI Designer for visuals, AI Sheets for data, AI Slides for presentations, Workflow automation, and Claw mobile manager.
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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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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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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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