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Smart Workplace Lab
Smart Workplace Lab
Jun 12, 2026 · Artificial Intelligence

Why More Agents Slow You Down and How a 3‑Step Orchestration Cleanup Protocol Restores Performance

When a surge of agents caused a looping approval flow and maxed‑out CPU, the author demonstrates a three‑step dependency‑graph pruning protocol that cuts cycles, removes redundant nodes, and reduces maintenance time from six hours to fifteen minutes while saving up to 40% of token budget.

AI workflowAgent orchestrationMermaid diagrams
0 likes · 7 min read
Why More Agents Slow You Down and How a 3‑Step Orchestration Cleanup Protocol Restores Performance
Java Architect Essentials
Java Architect Essentials
Jun 10, 2026 · Industry Insights

Why Cursor 3 Makes Traditional IDEs Like VS Code Obsolete

Cursor 3 replaces the classic code editor with an AI‑agent management console, reflecting a market‑driven shift that forces developers to rethink tooling, workflow, and even their role as the industry pivots toward agent orchestration and new pricing models.

AI ToolingAI code editorAgent orchestration
0 likes · 13 min read
Why Cursor 3 Makes Traditional IDEs Like VS Code Obsolete
Machine Heart
Machine Heart
Jun 9, 2026 · Artificial Intelligence

Why Code Is the Core of Agent Harness: Deep Insights from UIUC, Meta, and Stanford

Recent coding agents like Claude Code and Codex expose a deeper challenge: beyond generating correct code, agents must manage long‑term tasks by continuously planning, executing, testing, and updating code, making code the executable, inspectable, stateful medium that powers the Agent Harness framework.

AI AgentsAgent orchestrationMulti-Agent Collaboration
0 likes · 13 min read
Why Code Is the Core of Agent Harness: Deep Insights from UIUC, Meta, and Stanford
Alibaba Cloud Native
Alibaba Cloud Native
Jun 8, 2026 · Artificial Intelligence

Code Harness vs. Model-Driven Harness: Can Agent Control Be Expressed as Executable Natural Language?

The article reviews the "Natural-Language Agent Harnesses" paper, explains the distinction between code, middleware, and harness layers for LLM agents, introduces NLAH and IHR concepts, and details experimental evaluations that show natural‑language harnesses can match code‑based control while exposing new trade‑offs and risks.

Agent orchestrationIntelligent Harness RuntimeLLM Agents
0 likes · 13 min read
Code Harness vs. Model-Driven Harness: Can Agent Control Be Expressed as Executable Natural Language?
Design Hub
Design Hub
Jun 4, 2026 · Artificial Intelligence

Claude Code Dynamic Workflows: More Than Multi‑Agent—Agents Build Their Own Execution Harness

Claude Code’s new Dynamic Workflows feature lets the system generate a custom execution harness for each task, addressing agentic laziness, self‑preferential bias, and goal drift by structuring work into coordinated sub‑agents, with concrete patterns, examples, and practical guidance for when and how to use them.

AIAgent orchestrationClaude Code
0 likes · 24 min read
Claude Code Dynamic Workflows: More Than Multi‑Agent—Agents Build Their Own Execution Harness
SuanNi
SuanNi
Jun 3, 2026 · Artificial Intelligence

Claude Code Dynamic Workflows: From Solo Tasks to Building a Team of Agents

Claude Code's new dynamic workflow feature lets the model generate custom harnesses and coordinate multiple sub‑agents, addressing context limits, laziness, bias and goal drift, while offering six orchestration patterns and practical use‑cases for complex AI tasks.

AI automationAgent orchestrationClaude Code
0 likes · 16 min read
Claude Code Dynamic Workflows: From Solo Tasks to Building a Team of Agents
BirdNest Tech Talk
BirdNest Tech Talk
Jun 3, 2026 · Artificial Intelligence

How I Built a Go-Based Unified Agent Orchestration Framework Wrapping Claude Code, Codex, and Pi

The author describes creating a Go library called agent‑wrapper that unifies multiple coding agents—Claude Code, Codex, Pi, OpenCode—by providing a single registration interface, built‑in approval, budget control, context compression, session resume, and command‑line tools, turning disparate agents into a stable, production‑ready orchestration layer.

AI AgentsAgent orchestrationGo
0 likes · 10 min read
How I Built a Go-Based Unified Agent Orchestration Framework Wrapping Claude Code, Codex, and Pi
AI Engineering
AI Engineering
May 28, 2026 · Artificial Intelligence

Claude Code Dynamic Workflow: Hundreds of Sub‑Agents in One Session and a 75‑k‑line Bun Migration in 11 Days

Claude Code’s new dynamic workflow lets a single session launch up to 1,000 sub‑agents with 16‑way concurrency, enabling large‑scale tasks such as migrating 750,000 lines of Bun code from Zig to Rust in just 11 days while achieving a 99.8% test‑suite pass rate.

Agent orchestrationClaude CodeCode Migration
0 likes · 8 min read
Claude Code Dynamic Workflow: Hundreds of Sub‑Agents in One Session and a 75‑k‑line Bun Migration in 11 Days
ArcThink
ArcThink
May 27, 2026 · Artificial Intelligence

Stop Letting the Main Thread Do Dirty Work: Practical Subagents Workflow Guide

This guide explains how to isolate noisy, read‑heavy tasks into Subagents, when to employ them, how to craft effective delegation prompts, and how to integrate Subagents with Skills and rule files to keep the main AI thread focused on goals, decisions, and final artifacts.

AI workflowAgent orchestrationPrompt Engineering
0 likes · 19 min read
Stop Letting the Main Thread Do Dirty Work: Practical Subagents Workflow Guide
Shuge Unlimited
Shuge Unlimited
May 24, 2026 · Artificial Intelligence

OpenSpec + OMC: Uniting Two Tools to Transform AI Coding from Ad‑hoc to Planned Execution

The article explains how OpenSpec’s lightweight specification layer aligns AI coding assistants with project goals, while OMC’s multi‑agent orchestration executes those plans, detailing their architecture, workflow commands, integration mechanisms, dual‑layer verification, and practical best‑practice recommendations for seamless AI‑assisted development.

AI codingAgent orchestrationOMC
0 likes · 25 min read
OpenSpec + OMC: Uniting Two Tools to Transform AI Coding from Ad‑hoc to Planned Execution
AI Architecture Hub
AI Architecture Hub
May 20, 2026 · Artificial Intelligence

Becoming a Hermes Agent Operator: Build, Configure, and Scale AI Marketing Agents on One VPS

This guide explains how to master Hermes Agent by setting up a control‑room template, configuring dedicated agents, and scaling from a single agent to a full‑stack AI‑driven marketing operation on a single VPS, covering architecture, skill sets, deployment levels, real‑world use cases, and practical trade‑offs.

AI automationAgent orchestrationClaude
0 likes · 23 min read
Becoming a Hermes Agent Operator: Build, Configure, and Scale AI Marketing Agents on One VPS
Data Party THU
Data Party THU
May 1, 2026 · Artificial Intelligence

LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer

This article compares LangChain and LangGraph by implementing the same three‑stage code‑review pipeline with both frameworks, showing how LangChain offers a simple linear flow while LangGraph provides state‑machine orchestration for loops, conditional branches, and retries, and explains when each approach is preferable.

Agent orchestrationGeminiLLM workflow
0 likes · 8 min read
LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Apr 28, 2026 · Artificial Intelligence

Which of the Three Types of AI Agents Are You Building?

The article classifies today’s booming AI agents into three categories—foundation‑model RL agents, OpenClaw‑style autonomous agents, and ontology‑driven agents—detailing their architectures, key components, comparative strengths, and how they converge toward the envisioned L4/L5 AGI stages.

AI AgentsAgent orchestrationLLM
0 likes · 9 min read
Which of the Three Types of AI Agents Are You Building?
AI Waka
AI Waka
Apr 26, 2026 · Artificial Intelligence

Why Runtime, Not Model, Determines AI Agent Success in Production

The article argues that despite powerful models like Claude, the primary cause of AI Agent failures in production is the surrounding runtime infrastructure—such as session management, compliance, and orchestration—rather than the model itself, and examines the split between teams building custom runtimes versus those leveraging platform services.

AI AgentsAgent orchestrationClaude
0 likes · 6 min read
Why Runtime, Not Model, Determines AI Agent Success in Production
Architect
Architect
Apr 18, 2026 · Artificial Intelligence

Why Multi‑Agent Systems Need More Than Role‑Playing: 5 Coordination Patterns Explained

Anthropic’s recent analysis reveals five multi‑agent coordination patterns—Generator‑Verifier, Orchestrator‑Subagent, Agent Teams, Message Bus, and Shared State—highlighting that the real challenges lie in context boundaries, information flow, verification standards, and termination conditions rather than merely assigning roles.

AI ArchitectureAgent orchestrationCoordination Patterns
0 likes · 30 min read
Why Multi‑Agent Systems Need More Than Role‑Playing: 5 Coordination Patterns Explained
Tech Minimalism
Tech Minimalism
Apr 15, 2026 · Artificial Intelligence

A Complete Guide to Anthropic’s Claude Managed Agents and the Harness Platform

Anthropic’s Claude Managed Agents provide a cloud‑based API that lets you build, deploy, and orchestrate long‑running AI agents without handling sandboxing, state management, or error recovery, while offering versioned agents, configurable environments, streaming events, custom tools, pricing details, and real‑world use‑case examples.

AI AgentsAgent orchestrationAnthropic
0 likes · 22 min read
A Complete Guide to Anthropic’s Claude Managed Agents and the Harness Platform
AI Architecture Hub
AI Architecture Hub
Apr 14, 2026 · Artificial Intelligence

When Do Multi‑Agent LLM Systems Beat Single Agents? A Practical Guide

This article analyzes the trade‑offs between single‑agent and multi‑agent large language model architectures, identifies three scenarios where multi‑agent setups excel, explains context protection, parallelism and tool specialization, and provides concrete design patterns, code examples, and verification strategies to avoid common pitfalls.

Agent orchestrationContext managementmulti-agent systems
0 likes · 17 min read
When Do Multi‑Agent LLM Systems Beat Single Agents? A Practical Guide
PaperAgent
PaperAgent
Apr 12, 2026 · Artificial Intelligence

DeerFlow 2.0: Turning AI Agents into a Super‑Charged, Plug‑and‑Play Harness

ByteDance’s open‑source DeerFlow 2.0, now with over 60 k GitHub stars, provides a fully containerized, skill‑driven framework that lets large‑language‑model agents run parallel sub‑tasks, maintain long‑term memory, and manage context efficiently, reshaping how developers build autonomous AI workflows.

Agent orchestrationDeerFlowDocker sandbox
0 likes · 6 min read
DeerFlow 2.0: Turning AI Agents into a Super‑Charged, Plug‑and‑Play Harness
CodeTrend
CodeTrend
Apr 11, 2026 · Artificial Intelligence

OpenClaw’s Path to Full Autonomy: Engines, Multi‑Agent Modes, and Claude Code Contrast

OpenClaw implements continuous autonomous operation by wrapping the ReAct loop in a persistent daemon with event‑driven triggers, heartbeat scheduling, cron jobs, and persistent memory, while supporting three multi‑agent collaboration patterns—sub‑agents, routed agents, and agent teams—and contrasting its architecture with the interactive Claude Code assistant.

Agent orchestrationClaude CodeOpenClaw
0 likes · 9 min read
OpenClaw’s Path to Full Autonomy: Engines, Multi‑Agent Modes, and Claude Code Contrast
Smart Workplace Lab
Smart Workplace Lab
Apr 11, 2026 · Artificial Intelligence

How to Build a Human‑In‑The‑Loop Supervision SOP for AI Agent Workflows

The article outlines a practical SOP that transforms AI agents from passive responders to autonomous executors by introducing task decomposition, exception handling, and human‑in‑the‑loop audit checkpoints, enabling organizations to supervise multi‑model collaborations while avoiding chaos and ensuring alignment with business goals.

AI workflowAgent orchestrationhuman-in-the-loop
0 likes · 6 min read
How to Build a Human‑In‑The‑Loop Supervision SOP for AI Agent Workflows
Shi's AI Notebook
Shi's AI Notebook
Apr 11, 2026 · Artificial Intelligence

Anthropic’s Agent Harness: Six‑Hour Full‑Stack Build with Multi‑Agent Design

The article analyzes Anthropic’s “Agent harness” design, showing how separating generation and evaluation into distinct agents—drawing inspiration from GANs—overcomes context‑window limits and self‑evaluation bias, enabling a three‑agent planner‑generator‑evaluator pipeline that builds a full‑stack app in six hours.

Agent orchestrationArtificial IntelligenceFull-Stack Development
0 likes · 16 min read
Anthropic’s Agent Harness: Six‑Hour Full‑Stack Build with Multi‑Agent Design
MeowKitty Programming
MeowKitty Programming
Apr 11, 2026 · Industry Insights

Java Developers' Watershed: Coding Is Common, Orchestrating AI Agents Is Rare

The article argues that the real turning point for Java programmers is not the language's relevance but the shift from merely writing code to mastering AI agent orchestration, highlighting emerging Java 26 AI support, Spring AI advances, IDE integration, and the need for new engineering skills.

Agent orchestrationJavasoftware engineering
0 likes · 11 min read
Java Developers' Watershed: Coding Is Common, Orchestrating AI Agents Is Rare
AI Engineering
AI Engineering
Apr 10, 2026 · Artificial Intelligence

Getting Started with Hermes Agent: A Complete Beginner’s Guide

Hermes Agent, the open‑source LLM‑driven framework from Nous Research, has attracted 43.7K GitHub stars, but its documentation leaves many developers stranded; a community‑curated ecosystem map and the “Orange Book” guide now provide step‑by‑step installation, skill development, multi‑agent orchestration, and deployment resources to bridge the gap.

Agent orchestrationDocumentation guideEcosystem map
0 likes · 5 min read
Getting Started with Hermes Agent: A Complete Beginner’s Guide
AI Insight Log
AI Insight Log
Apr 9, 2026 · Artificial Intelligence

Open‑Source Multica Lets You Self‑Deploy Claude‑Style Agent Teams Ahead of Anthropic’s Official Release

Multica, an open‑source clone of Anthropic’s Claude Managed Agents, offers a self‑hosted agent lifecycle platform with task boards, reusable skills, unified runtime management, and multi‑workspace isolation, contrasting the official hosted service’s pricing and data‑control model, and is suited for teams needing vendor‑neutral, on‑premise agent orchestration.

Agent orchestrationClaude Managed AgentsMultica
0 likes · 6 min read
Open‑Source Multica Lets You Self‑Deploy Claude‑Style Agent Teams Ahead of Anthropic’s Official Release
Youzan Coder
Youzan Coder
Apr 7, 2026 · Industry Insights

How a Structured Knowledge Wiki Supercharges AI Coding Efficiency

This article analyzes why building a layered knowledge wiki tied to workspace and Git submodules dramatically reduces context entropy for AI coding, outlines the five knowledge categories, progressive disclosure design, multi‑agent initialization workflow, and the measurable productivity gains and governance benefits achieved in practice.

AI codingAgent orchestrationKnowledge Management
0 likes · 24 min read
How a Structured Knowledge Wiki Supercharges AI Coding Efficiency
ArcThink
ArcThink
Apr 4, 2026 · Industry Insights

Cursor 3 vs Claude Code: Choosing the Right AI Agent Platform for Developers

The article dissects Cursor 3’s shift from an AI‑assisted IDE to a full‑blown agent orchestration platform, evaluates its three core features—Background Agents, Automations, and Bug Bot—compares its architecture, pricing, and market share with Claude Code, and offers practical guidance for developers on which tool best fits their workflow.

AIAgent orchestrationClaude Code
0 likes · 16 min read
Cursor 3 vs Claude Code: Choosing the Right AI Agent Platform for Developers
Black & White Path
Black & White Path
Apr 4, 2026 · Backend Development

Building a Stable OpenClaw Workflow: Turning Ambiguous Prompts into Program Calls

The article explains how ambiguous natural‑language prompts cause unstable AI behavior and proposes a workflow where deterministic tasks are encapsulated in stable Python programs exposed as APIs, letting OpenClaw agents call them for reliable news fetching and email management while saving tokens and simplifying debugging.

APIAgent orchestrationOpenClaw
0 likes · 13 min read
Building a Stable OpenClaw Workflow: Turning Ambiguous Prompts into Program Calls
macrozheng
macrozheng
Apr 3, 2026 · Artificial Intelligence

Building Reliable Java AI Agents with JetBrains’ Koog Framework

JetBrains’ new Koog framework provides a native Java Builder‑style API that lets developers define annotated tools and assemble AI agents capable of handling multi‑step tasks such as banking transfers or e‑commerce customer service without writing explicit control flow, illustrating the evolving Java AI Agent ecosystem.

AI AgentAgent orchestrationJava
0 likes · 9 min read
Building Reliable Java AI Agents with JetBrains’ Koog Framework
o-ai.tech
o-ai.tech
Mar 31, 2026 · Artificial Intelligence

CE System Design: From Workflow to AI Agent Engineering

The article examines the Compound‑Engineering (CE) system, showing how it structures complex engineering tasks into layered workflows, specialist agents, and reusable documentation, contrasting its systematic approach with the Superpowers framework and offering concrete insights for building robust AI agent pipelines.

AI AgentsAgent orchestrationWorkflow Engineering
0 likes · 12 min read
CE System Design: From Workflow to AI Agent Engineering
AI Tech Publishing
AI Tech Publishing
Mar 31, 2026 · Artificial Intelligence

How a Planner‑Generator‑Evaluator Trio Enables Claude to Build Full‑Stack Apps Autonomously

The article details a GAN‑inspired three‑agent architecture—planner, generator, and evaluator—that overcomes Claude's self‑evaluation bias and context‑window limits, enabling hours‑long autonomous coding of complete front‑end and full‑stack applications with measurable cost and quality improvements.

AI AgentsAgent orchestrationClaude
0 likes · 27 min read
How a Planner‑Generator‑Evaluator Trio Enables Claude to Build Full‑Stack Apps Autonomously
AI Waka
AI Waka
Mar 30, 2026 · Artificial Intelligence

Can Claude Code Replicate OpenClaw’s Architecture? A Layer‑by‑Layer Mapping

This article analyzes how Claude Code’s native features map onto OpenClaw’s four‑layer architecture, detailing each layer’s correspondence, the remaining gaps, and practical guidance for building a hybrid ClaudeClaw system that leverages hooks, skills, remote control, and channel plugins.

AI AgentsAgent orchestrationClaude Code
0 likes · 29 min read
Can Claude Code Replicate OpenClaw’s Architecture? A Layer‑by‑Layer Mapping
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 22, 2026 · Industry Insights

How a Young Bilibili Creator Built AstrBot Before the AI Boom and What It Reveals About Bilibili’s Tech Community

The article examines Soulter’s early‑2022 launch of AstrBot, its growth into a multi‑platform agent orchestration framework, compares it with the more consumer‑friendly OpenClaw, and analyzes how Bilibili’s unique feedback loop amplifies AI projects and shapes the Chinese AI creator ecosystem.

Agent orchestrationAstrBotBilibili
0 likes · 10 min read
How a Young Bilibili Creator Built AstrBot Before the AI Boom and What It Reveals About Bilibili’s Tech Community
DataFunSummit
DataFunSummit
Mar 22, 2026 · Artificial Intelligence

How OxyGent Enables Enterprise‑Scale Multi‑Agent Collaboration

This article introduces OxyGent, an open‑source Python framework released in July 2025 that provides atomic orchestration, infinite extensibility, and multi‑modal tool integration for building high‑performance, enterprise‑grade multi‑agent systems, covering its architecture, quick‑start workflow, prompt management, memory bank, and future roadmap.

AI frameworkAgent orchestrationPrompt management
0 likes · 22 min read
How OxyGent Enables Enterprise‑Scale Multi‑Agent Collaboration
High Availability Architecture
High Availability Architecture
Mar 13, 2026 · Artificial Intelligence

Inside the 18‑Day Evolution of an Open‑Source AI Agent Orchestrator

In just 18 days after open‑sourcing, the TypeScript‑based Agent Orchestrator built by AI agents themselves amassed 3,800+ GitHub stars, executed 15 parallel sessions, merged six PRs, faced authentication crashes and session deaths, and evolved through a three‑tier escalation protocol with OpenClaw integration to enable real‑time Telegram interaction and continuous self‑improvement.

AI AgentsAgent orchestrationCI automation
0 likes · 25 min read
Inside the 18‑Day Evolution of an Open‑Source AI Agent Orchestrator
AI Architecture Hub
AI Architecture Hub
Mar 12, 2026 · Industry Insights

How to Become an AI‑Native Engineer: Mastering Agent Orchestration and Codebase Transformation

This article analyzes the new challenges engineers face in the AI era, defines the core competencies of AI‑native engineers, explains how to orchestrate single and multiple agents, outlines the technical hurdles of context switching, and provides practical checklists for building an agent‑friendly development environment and embedding AI agents into product cores.

AI AgentsAI-native engineerAgent orchestration
0 likes · 16 min read
How to Become an AI‑Native Engineer: Mastering Agent Orchestration and Codebase Transformation
Su San Talks Tech
Su San Talks Tech
Mar 7, 2026 · Artificial Intelligence

Boost Your AI Coding with OpenCode + Oh My OpenCode: A Low‑Cost Agent Workflow

This article explains how to combine the open‑source terminal AI environment OpenCode with the Oh My OpenCode plugin to create a powerful, cost‑effective agent workflow that leverages Claude Opus 4.5's long context, automates testing, and integrates with GitHub Copilot for rapid project development.

AI AgentsAgent orchestrationCLI Tools
0 likes · 9 min read
Boost Your AI Coding with OpenCode + Oh My OpenCode: A Low‑Cost Agent Workflow
Architect
Architect
Mar 2, 2026 · Artificial Intelligence

Why Engineers Must Shift from Writing Code to Managing AI Agents

In a 14‑minute interview, Mihail Eric explains how the rise of AI agents is forcing software engineers to transform from code writers into orchestrators who allocate intelligence, manage contexts, and redesign codebases to be agent‑friendly, offering a practical checklist for teams navigating this structural shift.

AI AgentsAgent orchestrationarchitecture
0 likes · 17 min read
Why Engineers Must Shift from Writing Code to Managing AI Agents
Fun with Large Models
Fun with Large Models
Feb 24, 2026 · Artificial Intelligence

DeepAgents Quickstart Guide: A Full Walkthrough of Core Features

This article introduces LangChain's DeepAgents framework, explains its design goals, compares it with LangChain and LangGraph, and provides a step‑by‑step code walkthrough that demonstrates task planning, sub‑agent delegation, tool usage, and result generation for building complex AI agents with just a few lines of code.

AI AgentsAgent orchestrationDeepAgents
0 likes · 15 min read
DeepAgents Quickstart Guide: A Full Walkthrough of Core Features
Frontend AI Walk
Frontend AI Walk
Jan 27, 2026 · Artificial Intelligence

Mastering Oh My OpenCode Agents: A Complete Guide with Real‑World Tips

This article provides a thorough, step‑by‑step guide to the built‑in Agents of Oh My OpenCode, explaining each Agent’s specialty, when to use them, decision‑tree selection, real‑world case studies, collaboration patterns, common pitfalls, and practical weekly learning plans for developers.

AI AgentsAgent orchestrationOh My OpenCode
0 likes · 31 min read
Mastering Oh My OpenCode Agents: A Complete Guide with Real‑World Tips
PaperAgent
PaperAgent
Jan 11, 2026 · Industry Insights

Why Context Graphs Could Unlock the Next Trillion‑Dollar AI Opportunity

The article explains how capturing decision‑making traces in real‑time through context graphs can create a searchable, reusable knowledge layer for AI agents, addressing emerging enterprise demand and opening a potential trillion‑dollar market beyond traditional data storage.

AIAgent orchestrationArtificial Intelligence
0 likes · 8 min read
Why Context Graphs Could Unlock the Next Trillion‑Dollar AI Opportunity
Java Architecture Diary
Java Architecture Diary
Nov 3, 2025 · Artificial Intelligence

Create a Java AI Agent Hub with Spring AI Agents – From Single Bots to Teams

Spring AI Agents brings a unified Java SDK that lets developers integrate, orchestrate, and run multiple AI coding agents—such as Claude, Gemini, and OpenAI Codex—directly within GitHub workflows, transforming development from single‑assistant Copilot models to collaborative AI team‑based architectures.

AI AgentsAgent orchestrationGitHub
0 likes · 10 min read
Create a Java AI Agent Hub with Spring AI Agents – From Single Bots to Teams