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multi-agent collaboration

43 articles · Page 1 of 1
Alibaba Cloud Native
Alibaba Cloud Native
Oct 24, 2026 · Artificial Intelligence

AgentCore: 10 Capabilities for Enterprise Agent Lifecycle Governance

This article details AgentCore, an enterprise-grade agent platform, covering its ten core capabilities: controlled execution with runtime/sandbox/tool boundaries, full-chain observability with trace metrics, context engineering unifying memory and knowledge, multi-agent team collaboration with three lifecycle modes, evaluation via Code/LLM/Agent judges, skill lifecycle management with six-stage governance, three-layer asset catalog, identity/security with triple identity and audit trails, cost FinOps with per-call metering and quotas, and full lifecycle management from build to continuous improvement.

AI agentsAgentCoreFinOps
0 likes · 12 min read
AgentCore: 10 Capabilities for Enterprise Agent Lifecycle Governance
Alibaba Cloud Native
Alibaba Cloud Native
Oct 24, 2026 · Artificial Intelligence

How Yidian Tianxia Built an AI Middle Platform for Autonomous Ad Agents

Yidian Tianxia shares how they built a unified five-layer AI middle platform — model, capability, agent, collaboration, and observability — enabling 100+ daily active agents, 130+ MCPs, and 1,500+ skills to autonomously execute end-to-end ad campaigns while keeping humans in the loop for high-risk decisions, achieving 40% ops efficiency gains and targeting 80% task closure.

AI Middle PlatformAd TechAgent Tuning
0 likes · 15 min read
How Yidian Tianxia Built an AI Middle Platform for Autonomous Ad Agents
Alibaba Cloud Native
Alibaba Cloud Native
Oct 20, 2026 · R&D Management

Digital Twin vs Digital Employee: Alibaba Cloud's AI Agent Pipeline for End-to-End R&D Delivery

Alibaba Cloud's communication team shares their evolution from AI coding to a full-chain digital twin pipeline, using standardized 9-stage workflows, independent agent workspaces, risk-based safety gates, and post-delivery audit loops to achieve 66.7% end-to-end delivery rates for simple demands while progressively expanding agent capabilities.

AI agentsAlibaba CloudHarness engineering
0 likes · 21 min read
Digital Twin vs Digital Employee: Alibaba Cloud's AI Agent Pipeline for End-to-End R&D Delivery
Alipay Experience Technology
Alipay Experience Technology
Sep 22, 2026 · Artificial Intelligence

How Alipay Built the Agentic Terminal Engine Behind 'Abao'

Alipay's xUI technology stack powers the 'Abao' AI agent with streaming multimodal communication via MoQ, generative UI rendering across three generations (Markdown, HTML, A2UI), on-device agent execution via GUI/TUI/Workflow, and cross-agent collaboration through AHA protocol, enabling asynchronous, companion-style interactions across devices.

A2UIAgentic AIAlipay xUI
0 likes · 22 min read
How Alipay Built the Agentic Terminal Engine Behind 'Abao'
Tencent Advertising Technology
Tencent Advertising Technology
Sep 17, 2026 · Backend Development

From Copilot to Loop: AI-Driven Legacy Refactoring via Data Cut Planes

Tencent's ad platform evolved from human-led refactoring with AI Copilot to Loop Engineering—a closed-loop system using data cut planes for observable verification and four specialized agents to automate refactoring of a 300k-line service, cutting cycle from months to weeks and manual diffs from 9 to near zero.

AI-assisted DevelopmentLoop engineeringTencent advertising platform
0 likes · 31 min read
From Copilot to Loop: AI-Driven Legacy Refactoring via Data Cut Planes
Machine Heart
Machine Heart
Sep 8, 2026 · Artificial Intelligence

WorkSwarm's Persistent Sessions: Keeping AI Agents Accurate Over 200+ Turns

WorkSwarm's Persistent Session enables AI agents to maintain context, responsibilities, and decisions across hundreds of interaction turns, demonstrated via a 6-hour, 189-turn multi-user Feishu collaboration resolving 8 cross-responsibility conflicts and a 200-turn coding task where the persistent session completed all tasks while the control group failed at turn 156 due to context compression drift.

AI agentsContext DriftLong-running Tasks
0 likes · 15 min read
WorkSwarm's Persistent Sessions: Keeping AI Agents Accurate Over 200+ Turns
Ubiquitous Tech
Ubiquitous Tech
Aug 25, 2026 · Artificial Intelligence

10 DeepSeek Harness Plugins to Build Your Personal AI Agent Workbench

This tutorial introduces 10 practical DeepSeek Harness (DSH) plugins that extend the AI agent platform with capabilities like prompt optimization, cost tracking, plugin marketplace, web UI aggregation, Codex/Claude/Grok subscription integration, conversation mapping, office document automation, multi-agent team collaboration, and context visualization — each with installation commands and usage walkthroughs.

AI agentsAgent WorkbenchContext Visualization
0 likes · 17 min read
10 DeepSeek Harness Plugins to Build Your Personal AI Agent Workbench
Top Architecture Tech Stack
Top Architecture Tech Stack
Aug 13, 2026 · Artificial Intelligence

SpaceXAI’s Grok Bot: An All‑Day AI Teammate That Works Independently

SpaceXAI’s Grok Bot transforms AI agents from simple Q&A chatbots into autonomous, always‑on teammates that can log into applications, execute multi‑step tasks, collaborate across multiple bots, and manage memory, while requiring careful permission controls and governance to avoid security and operational risks.

AI agentsWorkflow Automationautonomous bots
0 likes · 12 min read
SpaceXAI’s Grok Bot: An All‑Day AI Teammate That Works Independently
Chengwu Tech Stack
Chengwu Tech Stack
Aug 5, 2026 · R&D Management

How to Split Complex Tasks So Multiple AI Agents Can Work in Parallel Without Clashing

The article explains that effective multi-agent collaboration requires identifying dependencies first, then decomposing tasks into four types (exploration, contract, implementation, integration), following four principles (independent boundaries, explicit inputs, verifiable outputs, controllable conflicts), and executing in four phases (contract-first, independent parallel, unified integration, system verification), illustrated with a batch import example.

AI agent coordinationR&D managementcontract-first development
0 likes · 19 min read
How to Split Complex Tasks So Multiple AI Agents Can Work in Parallel Without Clashing
FunTester
FunTester
Jul 31, 2026 · Artificial Intelligence

Applying ADHD‑Inspired Task Design to Multi‑Agent AI Collaboration

The article uses the ADHD metaphor to show how externalizing goals, breaking work into short stages, limiting concurrent agents, and defining clear acceptance criteria can turn the bottleneck of multi‑agent AI systems from generation to effective attention management.

AI agentsTask Designattention management
0 likes · 9 min read
Applying ADHD‑Inspired Task Design to Multi‑Agent AI Collaboration
ThinkingAgent
ThinkingAgent
Jul 16, 2026 · Artificial Intelligence

Agent Framework: From Personal Assistants to Process Integration and Enterprise Intelligence

The article explains how AI agents differ from chatbots, outlines four core design patterns—Reflection, Tool Use, Planning, and Multi‑Agent Collaboration—draws on insights from DeepLearning.AI, Anthropic, Google Cloud, LangChain and Microsoft, and provides a step‑by‑step roadmap for evolving agents from personal assistants to enterprise‑wide intelligent systems.

AI AgentPlanningReflection
0 likes · 28 min read
Agent Framework: From Personal Assistants to Process Integration and Enterprise Intelligence
DataFunSummit
DataFunSummit
Jul 15, 2026 · Artificial Intelligence

How Protocols, Constraints, Self‑Evolution, and Cost Shape Real‑World AI Agents

The live discussion reveals why stronger LLMs can hide subtle errors, why moving from single‑point chatbots to multi‑agent harnesses requires a cognitive shift, and how enterprises must enforce protocols, permissions, and structured evaluation to safely and cost‑effectively deploy AI agents at scale.

AI agentsHarness frameworkagent orchestration
0 likes · 17 min read
How Protocols, Constraints, Self‑Evolution, and Cost Shape Real‑World AI Agents
IT Services Circle
IT Services Circle
Jun 30, 2026 · Artificial Intelligence

Building an AI Agent to Generate Apple Logo Animations: From ReAct Loops to Harness Engineering

The article walks through creating a web‑wrapped ChatGPT agent that automatically fetches SVG logos, uses ReAct’s think‑act‑observe cycle, handles memory limits with context compression, coordinates multiple AI workers, and adds safety layers—collectively called Harness—to reliably produce Apple logo animations.

AI agentsHarness engineeringReAct loop
0 likes · 14 min read
Building an AI Agent to Generate Apple Logo Animations: From ReAct Loops to Harness Engineering
SpringMeng
SpringMeng
Jun 21, 2026 · Artificial Intelligence

What Is the Viral “Loop” Everyone’s Talking About?

The article explains the AI‑Agent “Loop” concept that has gone viral, contrasting it with traditional programming loops, detailing the ReAct paradigm, single‑agent vs. multi‑agent loops, the four engineering layers of Prompt, Context, Loop and Harness, and discussing Loop engineering’s building blocks, benefits, limitations, and practical use cases.

AI agentsLoop engineeringReAct
0 likes · 18 min read
What Is the Viral “Loop” Everyone’s Talking About?
IT Services Circle
IT Services Circle
Jun 15, 2026 · Artificial Intelligence

What Is the “Loop” That’s Taking the AI Community by Storm?

The article explains the concept of an AI Agent Loop—how it differs from traditional programming loops, its ReAct cycle, single‑agent versus multi‑agent designs, the four engineering layers (Prompt, Context, Loop, Harness), practical building blocks, advantages, limitations, and ideal use cases.

AI agentsLoop engineeringReAct
0 likes · 19 min read
What Is the “Loop” That’s Taking the AI Community by Storm?
Su San Talks Tech
Su San Talks Tech
Jun 13, 2026 · Artificial Intelligence

What Is the Hot New “Loop” Concept in AI Agents?

The article explains the AI‑Agent “Loop” concept—how it differs from traditional programming loops, its ReAct reasoning‑acting cycle, the full agent execution pipeline, single‑agent versus multi‑agent collaboration, engineering layers from Prompt to Harness, and practical advantages, limitations, and use cases.

AI agentsHarnessLoop engineering
0 likes · 17 min read
What Is the Hot New “Loop” Concept in AI Agents?
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 10, 2026 · Artificial Intelligence

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

The article explains how code serves as the executable, inspectable, and stateful medium that links reasoning, action, feedback, verification, and collaboration in long‑term AI agents, detailing the harness interface, planning‑execute‑verify loop, multi‑agent coordination, and open research challenges.

AI AgentCode as Interfaceagent harness
0 likes · 14 min read
Why Code Is the Core of Agent Harness: Deep Insights from UIUC, Meta, and Stanford
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 orchestrationcode harness
0 likes · 13 min read
Why Code Is the Core of Agent Harness: Deep Insights from UIUC, Meta, and Stanford
IT Architects Alliance
IT Architects Alliance
Jun 9, 2026 · Artificial Intelligence

From Implementer to Orchestrator: 7 Essential Skills Every 2026 Architect Must Master

The article shares a practitioner’s journey from chasing every new AI framework to focusing on seven durable capabilities—context management, tool design, data‑driven evaluation, robust harness, isolation, traceability, cost control, and disciplined multi‑agent collaboration—that will keep architects productive for years to come.

AI agentsHarnessTool Design
0 likes · 11 min read
From Implementer to Orchestrator: 7 Essential Skills Every 2026 Architect Must Master
Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents

openJiuwen’s open‑source JiuwenSwarm implements Coordination Engineering—a full‑stack system comprising Agent Swarm, Swarm Skills, a Skills Hub and self‑evolution—enabling autonomous multi‑agent collaboration, demonstrated by medical, coding, video and game case studies and achieving a 94.2% PinchBench score with 34.8% token savings.

AI agentsBenchmarkJiuwenSwarm
0 likes · 13 min read
JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents
Architect's Ambition
Architect's Ambition
May 8, 2026 · Artificial Intelligence

A 12,000‑Word Guide to Agent Harness: Designing and Implementing Production‑Ready AI Agents

The article presents a comprehensive 7‑layer Agent Harness architecture that transforms experimental LLM‑based agents into stable, cost‑effective, secure, and observable production‑grade autonomous workers, illustrated with real‑world case studies, performance metrics, and concrete implementation details.

AI agentsAgent ArchitectureObservability
0 likes · 33 min read
A 12,000‑Word Guide to Agent Harness: Designing and Implementing Production‑Ready AI Agents
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 TeamSelf-Evolution
0 likes · 18 min read
How Coordination Engineering Turns Solo AI Agents into Elite Teams
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 agentsRuntime Protectionarchitectural design
0 likes · 7 min read
How to Keep System Complexity in Check for Multi‑Agent Collaboration
phodal
phodal
Apr 22, 2026 · Artificial Intelligence

Task‑Adaptive Harness: Turning Agent Traces into Collaborative Coding Memory

The article introduces a Task‑Adaptive Harness that dynamically assembles execution boundaries for each AI coding task, converting Agent Trace data into reusable context, enabling multi‑agent collaboration, role‑specific context selection, and seamless hand‑off across Kanban‑driven workflows.

AI agentsAgent traceKanban workflow
0 likes · 12 min read
Task‑Adaptive Harness: Turning Agent Traces into Collaborative Coding Memory
Alibaba Cloud Native
Alibaba Cloud Native
Apr 16, 2026 · Artificial Intelligence

Why Modern AI Agents Are Getting Lighter, Thinner, and More Collaborative

The article analyzes three mainstream AI agents—Manus, OpenClaw, and Claude Managed Agent—showing how their middle‑layer architectures differ, why agent designs are shifting toward slimmer structures, and how emerging multi‑agent collaboration patterns like Manager‑Worker, Pipeline, and P2P are reshaping complex task execution.

AI agentsAgent Architecturemulti-agent collaboration
0 likes · 11 min read
Why Modern AI Agents Are Getting Lighter, Thinner, and More Collaborative
Tencent Cloud Developer
Tencent Cloud Developer
Apr 16, 2026 · Artificial Intelligence

Turning AI Agents into Visible NPCs: Building a 3D Town Plugin for QClaw

After 15 days of AI‑driven development and 45 k lines of code, the open‑source Agentshire plugin transforms QClaw/OpenClaw agents into interactive 3D NPCs within a customizable town, offering zero‑config installation, real‑time visual tracking, multi‑agent collaboration, and a data‑driven UGC framework.

3D VisualizationAI agentsQClaw plugin
0 likes · 12 min read
Turning AI Agents into Visible NPCs: Building a 3D Town Plugin for QClaw
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 16, 2026 · Industry Insights

Rethinking AI Coding: Multi‑Agent Collaboration as the New Development Paradigm

The article analyzes the shift from single‑agent AI coding workflows to a multi‑agent collaboration model, proposing a spec‑driven orchestration framework, observable claims, and a review‑centric UI called Mexus to enable efficient parallel development, conflict resolution, and human oversight.

AI codingObservabilitymulti-agent collaboration
0 likes · 15 min read
Rethinking AI Coding: Multi‑Agent Collaboration as the New Development Paradigm
phodal
phodal
Apr 14, 2026 · R&D Management

How Multi‑Agent AI Redefines Development: The Harness‑Powered Routa Workbench

Routa demonstrates how combining a Harness‑style engineering framework, AI‑driven Coding Agents, and a Kanban‑based task protocol can transform software development into an automated, collaborative workbench, redefining the Definition of Done, enforcing quality gates, and orchestrating multi‑agent handoffs across the entire lifecycle.

AI agentsKanbanR&D automation
0 likes · 12 min read
How Multi‑Agent AI Redefines Development: The Harness‑Powered Routa Workbench
Machine Heart
Machine Heart
Apr 5, 2026 · Artificial Intelligence

Cut Token Costs by 68% with Dynamic Multi‑Agent Collaborative Coding

The paper introduces AgentConductor, a 3‑billion‑parameter orchestrator that generates adaptive YAML‑based multi‑agent topologies, dynamically re‑plans when code errors occur, achieving a 14.6% accuracy boost and up to 68% token‑cost reduction compared to existing static agent pipelines.

AgentConductorLLM code generationReinforcement Learning
0 likes · 9 min read
Cut Token Costs by 68% with Dynamic Multi‑Agent Collaborative Coding
Wuming AI
Wuming AI
Mar 26, 2026 · Artificial Intelligence

Visualizing Claude Code Team Workflows: A Deep Dive into claude-code-templates and Claude‑HUD

The article examines the visibility challenges of Claude Code's Team mode, introduces a command‑line visualization tool and a lightweight HUD, demonstrates their UI layouts and real‑world test with a Six Thinking Hats team, and discusses the broader implications for multi‑agent collaboration monitoring.

Agent TeamsClaude CodeGitHub
0 likes · 6 min read
Visualizing Claude Code Team Workflows: A Deep Dive into claude-code-templates and Claude‑HUD
Frontend AI Walk
Frontend AI Walk
Mar 21, 2026 · Artificial Intelligence

How to Orchestrate Multiple AI Agents for Collaborative Development

This guide explains how to decompose a software project, schedule specialist AI agents, run them in parallel, and integrate their outputs, using OpenClaw and Sisyphus to build a full‑stack blog system and a user‑authentication service while covering best‑practice patterns, monitoring, and troubleshooting.

AI orchestrationOpenClawmulti-agent collaboration
0 likes · 18 min read
How to Orchestrate Multiple AI Agents for Collaborative Development
PaperAgent
PaperAgent
Mar 6, 2026 · Artificial Intelligence

Unlocking AI Memory: A Comprehensive Survey of Theory, Architectures, and Future Trends

This extensive survey presents a panoramic view of AI memory, introducing a novel 4W classification, detailing single‑agent and multi‑agent memory architectures, outlining evaluation metrics, showcasing real‑world applications, and highlighting open challenges and emerging research directions.

4W TaxonomyAI MemoryEvaluation Metrics
0 likes · 12 min read
Unlocking AI Memory: A Comprehensive Survey of Theory, Architectures, and Future Trends
PaperAgent
PaperAgent
Feb 11, 2026 · Artificial Intelligence

Unlocking Agentic Reasoning: A Deep Dive into the New LLM Paradigm

This comprehensive review dissects the emerging Agentic Reasoning paradigm for large language models, outlining its three‑layer architecture, core capabilities, optimization modes, benchmark suites, and real‑world applications across mathematics, science, embodied AI, healthcare, and autonomous web exploration.

AI benchmarksLarge Language Modelsagentic reasoning
0 likes · 10 min read
Unlocking Agentic Reasoning: A Deep Dive into the New LLM Paradigm
Tech Minimalism
Tech Minimalism
Feb 11, 2026 · Artificial Intelligence

Mastering Claude Code Agent Teams: A Complete Guide to Parallel Multi‑Agent Collaboration

Claude Code Agent Teams introduces a collaborative workflow where a Team Lead coordinates multiple independent AI agents that can communicate, share task progress, and challenge each other's conclusions, enabling parallel development, advanced debugging, and complex multi‑module projects while offering configurable modes and detailed best‑practice guidance.

Agent TeamsBest PracticesClaude Code
0 likes · 24 min read
Mastering Claude Code Agent Teams: A Complete Guide to Parallel Multi‑Agent Collaboration
AI Engineering
AI Engineering
Feb 5, 2026 · Artificial Intelligence

Claude Code Introduces Agents Teams for Autonomous Multi‑Agent Programming

Claude Code’s preview adds an Agents Teams mode that lets a leading Claude instance delegate tasks to multiple independent agents, enabling parallel coding, direct inter‑agent communication, two display options, higher token costs, and several practical collaboration scenarios.

AI programmingAgents TeamsClaude Code
0 likes · 6 min read
Claude Code Introduces Agents Teams for Autonomous Multi‑Agent Programming
Programmer's Advance
Programmer's Advance
Jan 25, 2026 · Artificial Intelligence

How Codex Agent Loop Transforms Code Generation into a Programming Partner

This article traces Codex's evolution from a simple code‑completion tool to a full‑stack Agent Loop system, explains its loop‑based architecture and core components, showcases practical configurations, multi‑agent collaboration, real‑world case studies, and discusses technical challenges and future trends for AI‑assisted software development.

AI code generationSecurity SandboxSoftware Development Automation
0 likes · 29 min read
How Codex Agent Loop Transforms Code Generation into a Programming Partner
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Jan 10, 2026 · Artificial Intelligence

Intelligent Agent System Levels 0‑4: From Core Reasoning to Self‑Evolving Agents

The article outlines a five‑tier taxonomy of intelligent agents—from a standalone language‑model reasoning engine lacking real‑time perception, through tool‑enabled problem solvers, context‑engineered planners, collaborative multi‑agent teams, up to self‑evolving systems that can create new tools or agents to fill capability gaps.

Agent ArchitectureSelf-Evolving Systemscontext engineering
0 likes · 9 min read
Intelligent Agent System Levels 0‑4: From Core Reasoning to Self‑Evolving Agents
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Nov 3, 2025 · Artificial Intelligence

Beyond Copilot: Crafting an AI‑Powered Collaborative Development Ecosystem

The article analyzes the evolution from single‑agent coding assistants like GitHub Copilot to multi‑agent, AI‑native development ecosystems, detailing architectural designs, practical techniques, enterprise case studies, tool‑form choices, and a five‑layer capability model that together illustrate how AI is shifting from a mere tool to a collaborative partner in software engineering.

AI codingAI-Native Developmentcontext engineering
0 likes · 17 min read
Beyond Copilot: Crafting an AI‑Powered Collaborative Development Ecosystem
DataFunSummit
DataFunSummit
Jul 10, 2025 · Artificial Intelligence

How Large Language Model AI Agents Transform Intelligent Operations and On‑Call Support

This article details the design and implementation of a large‑model‑driven intelligent operations dialogue system, covering intent recognition, routing, multi‑agent planning, RAG, workflow, ReAct, reflection, tree‑search techniques, evaluation challenges, and future multi‑agent collaboration for on‑call support.

AI agentsRAGintelligent operations
0 likes · 23 min read
How Large Language Model AI Agents Transform Intelligent Operations and On‑Call Support
DaTaobao Tech
DaTaobao Tech
Jun 6, 2025 · Artificial Intelligence

Redefining Business Core Assets in the LLM Era: Agent Evolution & Collaboration

This article examines how the rise of large language models reshapes core business assets, defines agents and tools, explores multi‑agent collaboration patterns, task allocation and conflict resolution mechanisms, and evaluates the MCP protocol and engineering requirements for building scalable, flexible agent platforms.

Agent ArchitectureLLMMCP protocol
0 likes · 9 min read
Redefining Business Core Assets in the LLM Era: Agent Evolution & Collaboration
Smart Era Software Development
Smart Era Software Development
Apr 3, 2024 · Artificial Intelligence

Unveiling Andrew Ng’s Four AI Agent Design Patterns with Coze

The article explains Andrew Ng’s four AI agent design patterns—Reflection, Tool Use, Planning, and Multi‑agent Collaboration—illustrates each with concrete Coze workflows and real‑world examples such as automotive research briefs, milk‑tea industry reports, and high‑quality travel planning.

AI agentsCozePlanning
0 likes · 7 min read
Unveiling Andrew Ng’s Four AI Agent Design Patterns with Coze