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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.

AIHuman-in-the-loopdata processing
0 likes · 3 min read
Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 14, 2025 · Artificial Intelligence

Understanding AI Agents and Multi‑Agent Systems: Frameworks, Design Principles, and Code Samples

This article provides a comprehensive overview of AI agents and multi‑agent systems, covering definitions, workflow vs. agent architectures, key differences, popular frameworks such as Swarm, AutoGen, and Magentic‑One, design principles, communication protocols, and practical code examples for building and orchestrating intelligent agents.

AI agentsAutoGenLLM Orchestration
0 likes · 39 min read
Understanding AI Agents and Multi‑Agent Systems: Frameworks, Design Principles, and Code Samples
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 InterviewAgent architectureEvaluator-Optimizer
0 likes · 3 min read
What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect
AgentGuide
AgentGuide
Apr 14, 2026 · Artificial Intelligence

What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?

MoA (Mixture-of-Agents) is a quality-first multi-agent collaboration mode where multiple large models act as Proposers and an Aggregator merges their diverse outputs, delivering more robust and higher-quality results at the cost of increased latency, making it ideal for high-value, open-ended tasks and extensible via multi-layer aggregation.

AIMixture-of-AgentsMoA
0 likes · 4 min read
What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?
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 orchestrationAutonomous AIClaude Code
0 likes · 9 min read
OpenClaw’s Path to Full Autonomy: Engines, Multi‑Agent Modes, and Claude Code Contrast
Ops Development Stories
Ops Development Stories
Mar 1, 2026 · Artificial Intelligence

Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw

This guide explains why a single AI bot becomes inefficient, introduces OpenClaw’s multi‑agent architecture, and provides a step‑by‑step tutorial—including CLI commands, configuration files, and JSON bindings—to set up isolated agents in different Feishu groups that can collaborate through internal communication channels.

AI agentsCLI configurationFeishu
0 likes · 12 min read
Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw
phodal
phodal
Feb 24, 2026 · Artificial Intelligence

How Routa Turns Multi‑Agent AI Coding into an Engineered Collaboration Framework

Routa is an engineering‑focused multi‑agent framework that separates tasks, state, events, and execution into controllable modules, enabling open‑ecosystem AI coding agents to collaborate through structured specifications, event‑driven coordination, and verifiable tool interfaces rather than fragile prompt stitching.

AI CollaborationAgent CoordinationMulti-agent
0 likes · 12 min read
How Routa Turns Multi‑Agent AI Coding into an Engineered Collaboration Framework
Geek Labs
Geek Labs
Mar 26, 2026 · Artificial Intelligence

Designing AI Agent Collaboration with a 1300‑Year‑Old Imperial System (12.7k Stars)

Edict (三省六部) is an open‑source AI multi‑agent framework that embeds a 1300‑year‑old Chinese imperial bureaucracy into its workflow, offering built‑in approval, real‑time dashboards, task intervention, and full audit trails, and it has already attracted 12.7k GitHub stars.

AI agentsEdictcomparative analysis
0 likes · 7 min read
Designing AI Agent Collaboration with a 1300‑Year‑Old Imperial System (12.7k Stars)
Data Party THU
Data Party THU
Aug 24, 2025 · Artificial Intelligence

How to Build a Multi‑Agent AI Research Assistant with LangGraph

This article demonstrates how to construct a multi‑agent AI research assistant using the LangGraph framework, detailing the system’s shared state design, individual agent implementations for research, fact‑checking, and report generation, workflow orchestration, advanced patterns like dynamic routing and parallel execution, and performance considerations.

AI research assistantLangGraphPython
0 likes · 14 min read
How to Build a Multi‑Agent AI Research Assistant with LangGraph
Ray's Galactic Tech
Ray's Galactic Tech
Apr 3, 2026 · Artificial Intelligence

Building a Production‑Ready High‑Concurrency Story Generation System with Spring AI Alibaba

This article explains how to design and implement a scalable multi‑agent architecture for AI‑driven story creation using Spring AI Alibaba, covering core design principles, engineering optimizations, orchestration, high‑concurrency handling, observability, and deployment best practices.

KubernetesMulti-agent architectureOrchestration
0 likes · 29 min read
Building a Production‑Ready High‑Concurrency Story Generation System with Spring AI Alibaba
Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 9, 2025 · Artificial Intelligence

Unlock Claude Code Agents: Configure, Manage, and Deploy Multi‑Agent Workflows

This guide walks you through the fundamentals of Claude Code agents—explaining why multiple agents are useful, how to configure them with YAML templates, manage them via slash commands, install third‑party agents, and orchestrate real‑world multi‑agent workflows—all with practical screenshots and code examples.

AI agentsAgent ConfigurationClaude Code
0 likes · 7 min read
Unlock Claude Code Agents: Configure, Manage, and Deploy Multi‑Agent Workflows
AI Explorer
AI Explorer
Apr 23, 2026 · Artificial Intelligence

Why OpenAI’s Lightweight Multi‑Agent Python Framework Is Going Viral

The open‑source OpenAI Agents SDK provides a lightweight Python framework that enables multiple AI agents to collaborate like a team, offering features such as automatic handoff, sandboxed execution, safety guardrails, human‑in‑the‑loop control, full‑traceability, and support for over 100 LLM models, all with just a single pip install.

AI workflowLLMMulti-agent
0 likes · 5 min read
Why OpenAI’s Lightweight Multi‑Agent Python Framework Is Going Viral
AI Architecture Path
AI Architecture Path
Mar 14, 2026 · Artificial Intelligence

Build a No‑Human AI Company in Three Steps with Paperclip

This article explains the management challenges of multiple AI agents, introduces the open‑source Paperclip platform that brings enterprise‑level orchestration to AI agents, details its six core capabilities, provides a three‑step quick‑start guide, shares practical tips, and outlines the future roadmap for an AI operating system.

AI ManagementAI agentsOrchestration
0 likes · 13 min read
Build a No‑Human AI Company in Three Steps with Paperclip
Architect's Must-Have
Architect's Must-Have
Apr 21, 2026 · Artificial Intelligence

30 Essential AI Agent Concepts: From LLMs to Multi‑Agent Systems

This comprehensive guide systematically explains thirty core terms of AI agents—covering foundational large language models, fine‑tuning techniques, multimodal vision‑language models, agent architectures such as ReAct and CoT, tool‑calling protocols, retrieval‑augmented generation, workflow orchestration, and emerging product forms like autonomous and embodied agents—while detailing the reasoning, trade‑offs, and concrete examples that shape modern agent engineering.

AI agentsRAGTool Calling
0 likes · 36 min read
30 Essential AI Agent Concepts: From LLMs to Multi‑Agent Systems
Big Data and Microservices
Big Data and Microservices
Apr 24, 2026 · Artificial Intelligence

How to Keep System Complexity in Check for Multi‑Agent Collaboration

The article outlines practical principles and concrete measures—starting with a simple coordinator‑sub‑agent pattern, evolving only when bottlenecks appear, and controlling dimensions such as agent splitting, count, roles, communication, and orchestration—to prevent complexity overload in multi‑agent AI systems, and adds runtime safeguards and a step‑by‑step deployment roadmap.

AI agentsMulti‑agent collaborationRuntime protection
0 likes · 7 min read
How to Keep System Complexity in Check for Multi‑Agent Collaboration
Architect
Architect
Jun 7, 2025 · Artificial Intelligence

Mass Framework: Boosting Multi‑Agent Design with Smarter Prompts & Topologies

The Mass framework, developed by Google and Cambridge University, automates multi‑agent system design by jointly optimizing prompts and topologies through three staged processes, demonstrating significant performance gains over existing methods across various tasks while highlighting the importance of coordinated prompt‑topology optimization.

AI researchMass frameworkPrompt Optimization
0 likes · 6 min read
Mass Framework: Boosting Multi‑Agent Design with Smarter Prompts & Topologies
AI Product Manager Community
AI Product Manager Community
Mar 8, 2025 · Artificial Intelligence

How OWL AI Agent Outperforms OpenManus: Technical Deep Dive

The article introduces the OWL (Optimized Workforce Learning) general‑purpose AI agent, explains its six‑step architecture, benchmark performance surpassing OpenManus, and argues that its innovations represent genuine application‑level advancement rather than mere “shell‑wrapping,” while highlighting its multi‑agent collaboration framework.

AIAutomationMulti-agent
0 likes · 5 min read
How OWL AI Agent Outperforms OpenManus: Technical Deep Dive
Fun with Large Models
Fun with Large Models
Jan 10, 2026 · Artificial Intelligence

Designing Decentralized Multi‑Agent Networks with LangGraph: The Swarm Architecture

This article explains LangGraph's network (decentralized) architecture for multi‑agent systems, compares it with supervisor and hierarchical designs, and provides a step‑by‑step Python example using the langgraph‑swarm library to build agents that can dynamically hand off control and preserve conversation continuity.

LangGraphMulti-agentNetwork Architecture
0 likes · 13 min read
Designing Decentralized Multi‑Agent Networks with LangGraph: The Swarm Architecture