BestHub
Sign in
Collection size
96 articles
Page 3 of 5
Golang Shines
Golang Shines
Mar 26, 2026 · Artificial Intelligence

Essential AI Agent Design Patterns and Frameworks for Operations: Do You Know Them?

The article explains seven multi‑agent design patterns—workflow, routing, parallel, loop, aggregation, network, and hierarchy—detailing their mechanisms, use‑cases, and trade‑offs, then surveys popular agent frameworks (AutoGPT, Dify, AutoGen, CrewAI, LangGraph) and why they are needed for complex, dynamic decision‑making tasks.

AI AgentDesign PatternsFramework
0 likes · 12 min read
Essential AI Agent Design Patterns and Frameworks for Operations: Do You Know Them?
Machine Heart
Machine Heart
Apr 28, 2026 · Artificial Intelligence

How Coordination Engineering Turns Solo AI Agents into Elite Teams

The article introduces Coordination Engineering, a new paradigm that extends Harness Engineering to enable multiple AI agents to collaborate like an elite team, describing the Agent Team engine, Team Skills standard, self‑evolving capabilities, practical examples, and the open‑source ecosystem supporting these advances.

AI AgentsAgent TeamCoordination Engineering
0 likes · 18 min read
How Coordination Engineering Turns Solo AI Agents into Elite Teams
JD Cloud Developers
JD Cloud Developers
Feb 20, 2025 · Artificial Intelligence

How Multi‑Agent ReAct Architecture Boosts E‑Commerce AI Assistants

This article explains the evolution of multi‑agent systems for e‑commerce assistants, detailing the ReAct‑based planning framework, hierarchical master‑sub agent collaboration, evaluation methods, and sample‑generation techniques that together improve accuracy, efficiency, and scalability of AI‑driven merchant services.

AI planningLLMMulti-Agent
0 likes · 23 min read
How Multi‑Agent ReAct Architecture Boosts E‑Commerce AI Assistants
Efficient Ops
Efficient Ops
Mar 23, 2026 · Artificial Intelligence

7 Multi‑Agent Design Patterns Every AI Engineer Should Know

This article explains the seven core multi‑agent design patterns—workflow, routing, parallel, loop, aggregation, network, and hierarchical—detailing their mechanics, use cases, implementation tips, and why modern agent frameworks are essential for dynamic, cross‑system AI applications.

Agent FrameworksLLM routingPrompt chaining
0 likes · 12 min read
7 Multi‑Agent Design Patterns Every AI Engineer Should Know
BirdNest Tech Talk
BirdNest Tech Talk
Jan 11, 2026 · Artificial Intelligence

How AI Agents Overcome Context Window Limits: Gemini vs Manus Deep Research

The article analyzes the context‑window bottleneck of large language models, compares two architectural strategies—strengthening the model (Gemini Deep Research) and parallel agent decomposition (Manus Wide Research)—and details a wind‑power investment case study, technical implementation, and future directions.

AI researchReActagent architecture
0 likes · 16 min read
How AI Agents Overcome Context Window Limits: Gemini vs Manus Deep Research
AntTech
AntTech
Apr 19, 2024 · Artificial Intelligence

AgentUniverse: An Enterprise‑Grade Multi‑Agent Framework for Complex Financial Analysis

The article introduces AgentUniverse, a large‑model multi‑agent framework that orchestrates specialized agents through a PEER collaboration pattern to overcome LLM limitations in complex financial tasks, demonstrates its architecture, workflow, experimental superiority on benchmarks, and provides open‑source installation details.

AIFinancial AnalysisMulti-Agent
0 likes · 10 min read
AgentUniverse: An Enterprise‑Grade Multi‑Agent Framework for Complex Financial Analysis
Golang Shines
Golang Shines
Jun 9, 2026 · Artificial Intelligence

Essential AI Agent Design Patterns and Frameworks Every Ops Engineer Should Know

The article explains seven AI agent design patterns—workflow, routing, parallel, loop, aggregation, network, and hierarchy—illustrates their use with concrete examples and code, compares agent frameworks such as AutoGPT, Dify, AutoGen, CrewAI and LangGraph, and shows why multi‑agent architectures outperform traditional workflows in complex operational tasks.

AI AgentDesign PatternsFrameworks
0 likes · 12 min read
Essential AI Agent Design Patterns and Frameworks Every Ops Engineer Should Know
PMTalk Product Manager Community
PMTalk Product Manager Community
Mar 22, 2026 · Product Management

Rethinking Product Architecture: How PMs Must Redefine Their Value in the Multi‑Agent Era

After a client demo revealed that using Slack chats to coordinate three AI agents cannot scale to dozens, the author argues that instant‑messaging is only a gateway, proposes a four‑layer ICSE architecture (Intent‑Control‑Service‑Event), outlines governance policies, and maps new product opportunities for PMs in the multi‑agent era.

AI AgentsGovernanceProduct Management
0 likes · 15 min read
Rethinking Product Architecture: How PMs Must Redefine Their Value in the Multi‑Agent Era
James' Growth Diary
James' Growth Diary
Apr 28, 2026 · Artificial Intelligence

Mastering LangGraph Multi‑Agent Collaboration: The Supervisor Pattern from Theory to Practice

This article explains why single‑agent LLM pipelines fail when many tools are attached, introduces the Supervisor pattern that separates routing and execution across specialized agents, compares Tool‑Calling and Handoff approaches, provides a complete TypeScript implementation—including hierarchical supervisors—and lists five common pitfalls with concrete fixes.

HandoffLLM orchestrationLangGraph
0 likes · 17 min read
Mastering LangGraph Multi‑Agent Collaboration: The Supervisor Pattern from Theory to Practice
Big Data and Microservices
Big Data and Microservices
Apr 18, 2026 · Artificial Intelligence

AI Agent vs. Agentic AI: Key Differences, Use Cases, and Evolution

This article clarifies the concepts of AI Agent and Agentic AI, compares their core definitions, architectures, autonomy, and application scenarios, and uses analogies to illustrate how they complement each other in the evolution from single-task automation to collaborative multi‑agent intelligence.

AI AgentArtificial IntelligenceComparison
0 likes · 9 min read
AI Agent vs. Agentic AI: Key Differences, Use Cases, and Evolution
AI Engineer Programming
AI Engineer Programming
May 13, 2026 · Artificial Intelligence

AI Agent Architecture Patterns: How to Choose the Right Solution for Your Workload

The article analyzes how AI agent architecture choices—single‑agent versus multi‑agent, ReAct, plan‑and‑execute, orchestrator‑worker, hierarchical teams, reflection, and HITL—affect cost, reliability, and scalability, providing quantitative trade‑offs and industry examples to guide workload‑specific selection.

AI AgentsArchitecture PatternsLangGraph
0 likes · 16 min read
AI Agent Architecture Patterns: How to Choose the Right Solution for Your Workload
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 11, 2025 · Artificial Intelligence

How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks

This article explains how the authors built a multi‑agent framework for the energy domain that splits complex tasks into simple subtasks, uses a planner‑scheduler‑executor pipeline, implements structured communication, memory management, and streaming output to overcome large‑model attention diffusion and improve efficiency and reliability.

Tool Invocationagent communicationstreaming output
0 likes · 23 min read
How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks
Ray's Galactic Tech
Ray's Galactic Tech
Apr 23, 2026 · Backend Development

Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production

This article analyses why a single‑agent LLM approach quickly hits scalability, context, and governance limits, and presents a production‑ready Spring AI Multi‑Agent design—including layered architecture, agent metadata, skill engineering, routing strategies, orchestration, resilience, A2A service discovery, Kubernetes deployment, observability, security, and cost‑control—backed by concrete Java code examples.

A2AJavaMulti-Agent
0 likes · 38 min read
Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production
AI Architecture Hub
AI Architecture Hub
Feb 27, 2026 · Artificial Intelligence

Mastering AI Agents in 2026: A Four‑Layer Blueprint for Stable Deployment

This article breaks down Anthropic's four‑layer AI Agent architecture, explains when multi‑Agent setups are worthwhile, details how to design reusable Skills and a standardized MCP connection protocol, and provides a practical checklist and a ready‑to‑use Skill template for immediate implementation.

AI OpsModel Context ProtocolPrompt Engineering
0 likes · 16 min read
Mastering AI Agents in 2026: A Four‑Layer Blueprint for Stable Deployment
DataFunSummit
DataFunSummit
Sep 4, 2025 · Artificial Intelligence

Unlocking Multi‑Agent AI: How Ant Group’s agentUniverse Transforms Financial Services

The article explores Ant Group’s agentUniverse team’s experience applying multi‑agent technology in finance, covering background on large language models, the agentUniverse framework, real‑world implementations, and the advantages of coordinated multi‑agent collaboration for complex analytical and decision‑making tasks.

AI collaborationFinancial AIMulti-Agent
0 likes · 4 min read
Unlocking Multi‑Agent AI: How Ant Group’s agentUniverse Transforms Financial Services
PMTalk Product Manager Community
PMTalk Product Manager Community
Mar 18, 2026 · Product Management

When Your Team Is All Agents: How Product Management Must Evolve

The article analyses why using instant‑messaging groups to orchestrate multiple AI agents cannot scale to dozens or hundreds of agents, proposes a four‑layer ICSE architecture, compares three agent‑to‑agent communication models, and outlines the new governance, design, and roadmap responsibilities that product managers will need to master.

AI AgentsGovernanceICSE architecture
0 likes · 14 min read
When Your Team Is All Agents: How Product Management Must Evolve
Architects Research Society
Architects Research Society
May 7, 2025 · Artificial Intelligence

Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation

The article outlines a five‑layer AI multi‑agent architecture covering hierarchical command chains, human‑in‑the‑loop security barriers, decentralized peer‑to‑peer networks, industrial‑grade pipeline processing, and data‑transformation alchemy, each illustrated with concrete enterprise and autonomous‑driving examples.

AIdata processinghuman-in-the-loop
0 likes · 3 min read
Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation
AgentGuide
AgentGuide
Mar 30, 2026 · Artificial Intelligence

What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect

The article explains that multi-agent systems typically operate in three patterns—sequential execution, parallel execution, and an evaluator-optimizer loop—covers when each pattern is appropriate, and offers interview tips on how to discuss these designs effectively.

AI InterviewEvaluator-OptimizerSequential Execution
0 likes · 3 min read
What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect