#AI agent team
2541 related articles
·3 min
How to Choose an AI Agent Platform for Your Team: 5 Evaluation Dimensions and a Decision Framework
Choose the right AI Agent platform by evaluating model flexibility, observability, tool integration, security compliance, and total cost. A complete decision framework to help technical leaders avoid vendor lock-in.
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·3 min
How to Choose an AI Agent Platform for Your Team: 5 Evaluation Dimensions & Decision Framework
Choose an AI Agent platform by evaluating model flexibility, observability, tool integration, security compliance, and total cost. A complete decision framework to avoid vendor lock-in.
Read more →
·3 min
Coze Expert Agent: A Complete 5-Step Guide to Building an AI Collaborative Team
Learn how to build a reusable AI work team in 5 steps using Coze Expert Agents — create agents, set up projects, invite members, and assign tasks efficiently.
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·4 min
Microsoft Teams Collaborative AI Agents: The Three-Pillar Framework of Manners, Privacy, and Polish
Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.
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·3 min
AI Teams in Action: How MiniMax M3 Uses Multi-Agent Collaboration to Reinvent Content Creation
MiniMax M3-powered AR assistant M-Code automates the full content creation pipeline through four specialized agents: planning, recording, drafting, and review.
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Assess Your Engineering Team's AI Agen…
·3 min
Assess Your Engineering Team's AI Agent Maturity in 5 Minutes: A Tiered Framework and Key Dimensions
How to quickly gauge your engineering team's AI Agent adoption level? This article breaks down a four-tier AI maturity framework covering tool adoption, workflow integration, governance, and measurement.
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·5 min
Crew: Enabling Multiple AI Agents to Collaborate and Share Knowledge Like a Team
Crew is an open-source AI agent collaboration framework whose core idea is to build a "Stack Overflow" for agents—letting multiple agents share experience and accumulate knowledge, shifting from optimizing single agents to building evolving teams.
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·3 min
Claude Code Agent Teams: A Practical Guide to AI Team Collaboration in Software Development
A deep dive into Claude Code Agent Teams: how they differ from Subagents, contract-first design, model allocation strategies, and a real case of 16 agents building a C compiler.
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·7 min
DryFox v0.3.3: AI Agent Team Collaboration + Composable UI Panels Explained
In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.
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·7 min
Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.
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·7 min
Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.
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·2 min
Coze 3.0 Multi-Agent Collaboration: A Complete Guide to Building Your AI Team
A hands-on guide to Coze 3.0 multi-user, multi-Agent projects: create projects, add members, toggle Agents, and use @ mentions to dispatch tasks efficiently.
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·3 min
AI Agent 101: Understanding Perception, Decision-Making, and Action Through Team Collaboration
New to AI Agents? This article uses a startup team analogy to break down the three core capabilities — Perception, Decision-Making, and Action — helping you build a mental model from scratch.
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·3 min
TraeHarness Open-Sourced: 18 AI Agents Form a Virtual Development Team
TraeHarness is an open-source multi-agent framework with 18 specialized AI Agents simulating a real software team, covering requirements, architecture, development, testing, and deployment.
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·3 min
One Person + AI Agent Team: Building a Web Game from Idea to Finished Product
A developer built a self-designed AI Agent collaboration system that turns a one-sentence idea into a complete playable Web game, auto-generating GDD docs and code.
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·4 min
A Complete Guide to Multi-Agent Teams in AI Coding: From Solo Work to Team Collaboration
Deep dive into multi-agent solutions from Cursor, Claude Code, and Tencent CodeBuddy — covering parallel exploration, cross-layer collaboration, context isolation, practical tips, and selection guide.
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Tutorials·2 min
AI Agent Team Automating Short-Video Production: A Complete Workflow from Raw Material to Publishing
Learn how multiple AI Agents form a collaborative team to automate short-video production end-to-end—from material mining and script generation to video packaging and cross-platform RPA publishing.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Deep Dives·4 min
Can AI Agents Replace a Development Team? A Practical Guide for Non-Technical People
Can non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.
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Product Reviews·3 min
Ruflo: A Multi-Agent Orchestration Solution That Turns Claude Code into a 100-Person AI Team
Ruflo is an open-source multi-agent orchestration platform that upgrades single-threaded Claude Code into a distributed AI dev team with 100+ specialized Agents and a SANA self-learning engine.
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