BestHub
Sign in
Collection size
97 articles
Page 3 of 5
dbaplus Community
dbaplus Community
Apr 6, 2025 · Artificial Intelligence

What Are AI Agents? A Deep Dive into Multi‑Agent Systems and Frameworks

This article provides a comprehensive overview of AI agents and multi‑agent systems, covering definitions, classifications, workflow versus agent architectures, comparative feature tables, and detailed examinations of popular frameworks such as OpenAI Swarm, AutoGen, and Magentic‑One, including design principles, code examples, orchestration strategies, and practical application scenarios.

AI agentsAutoGenMagentic-One
0 likes · 40 min read
What Are AI Agents? A Deep Dive into Multi‑Agent Systems and Frameworks
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 PlanningAgent architectureLLM
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 researchAgent architectureReAct
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.

AILarge Language ModelMulti-agent
0 likes · 10 min read
AgentUniverse: An Enterprise‑Grade Multi‑Agent Framework for Complex Financial Analysis
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 agentsArchitectureGovernance
0 likes · 15 min read
Rethinking Product Architecture: How PMs Must Redefine Their Value in the Multi‑Agent Era
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 AgentAgentic AIArtificial Intelligence
0 likes · 9 min read
AI Agent vs. Agentic AI: Key Differences, Use Cases, and Evolution
SuanNi
SuanNi
Mar 25, 2026 · Artificial Intelligence

Can Harness Engineering Enable AI Agents to Master Complex Long‑Running Tasks?

This article analyses the concept of Harness engineering introduced by OpenAI and Anthropic, explains how multi‑agent architectures decompose and manage long‑running AI tasks, examines practical experiments such as a retro game maker and a web‑audio workstation, and distills lessons for future AI system design.

AI engineeringAnthropicClaude
0 likes · 16 min read
Can Harness Engineering Enable AI Agents to Master Complex Long‑Running Tasks?
ShiZhen AI
ShiZhen AI
Mar 3, 2026 · Artificial Intelligence

How OpenAkita Makes Three AIs Collaborate Automatically

OpenAkita is an open‑source multi‑Agent AI assistant that automatically splits tasks among specialized agents, offers 89 built‑in tools across 16 categories, supports 30+ large models and six IM platforms, provides a zero‑CLI graphical setup, and includes a three‑layer memory system with self‑evolving capabilities.

AI AssistantMemory SystemMulti-agent
0 likes · 9 min read
How OpenAkita Makes Three AIs Collaborate Automatically
AI Algorithm Path
AI Algorithm Path
Mar 28, 2025 · Artificial Intelligence

Workflow vs Agent: A Beginner’s Guide to AI Agents

This tutorial explains the fundamental differences between AI workflows and autonomous agents, compares their strengths, outlines when to use each approach, and provides concrete LangChain/LangGraph code examples, framework references, and best‑practice recommendations for building reliable LLM‑powered systems.

AI agentsLLM workflowsLangChain
0 likes · 28 min read
Workflow vs Agent: A Beginner’s Guide to AI Agents
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 4, 2026 · Artificial Intelligence

How to Build a 24‑Hour AI Agent Team with OpenClaw – A Real‑World Walkthrough

The author details a month‑long experiment creating a six‑agent AI team with OpenClaw that automates research, content creation, code review and email newsletters, saving 4‑5 hours each day for under $400 per month by using file‑based coordination, a two‑layer memory system, and a gradual rollout plan.

AI agentsOpenClawcost optimization
0 likes · 14 min read
How to Build a 24‑Hour AI Agent Team with OpenClaw – A Real‑World Walkthrough
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
Qborfy AI
Qborfy AI
Apr 15, 2026 · Artificial Intelligence

Why Three AI Agents Beat One: Planner‑Generator‑Evaluator Architecture Explained

The article analyzes why a single AI struggles to self‑evaluate, presents Anthropic’s three‑agent (Planner, Generator, Evaluator) architecture with concrete DAW‑building examples, sprint contracts, cost‑benefit tables, and step‑by‑step processes that show how each role solves specific problems and improves overall quality.

AI ArchitectureMulti-agentcost analysis
0 likes · 24 min read
Why Three AI Agents Beat One: Planner‑Generator‑Evaluator Architecture Explained
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.

A2AJavaKubernetes
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 OpsAgent architectureModel Context Protocol
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 CollaborationMulti-agentagentUniverse
0 likes · 4 min read
Unlocking Multi‑Agent AI: How Ant Group’s agentUniverse Transforms Financial Services