3168 related articles

Deep dive into qm, a multiplayer AI Agent collaboration framework that uses state sync, real-time observability, and human takeover mechanisms to transform Agents from solo tools into team infrastructure.

Liminal is a shared workspace designed for human-AI Agent collaboration, auto-rendering Markdown and HTML into visual interfaces with real-time sync and team collaboration.

Openbase is a voice-driven AI coding agent management tool that lets developers dispatch tasks, steer agents, and approve code changes via phone. Deep analysis of its cross-platform sync and voice interaction advantages and limitations.

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.

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.
Multi-Agent Collaboration: A GPT Team …
Explore multi-agent collaboration architecture: role division, communication protocols, coordination mechanisms, and how Workbench templates help developers build efficient AI agent teams.

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.

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.

MiniMax M3-powered AR assistant M-Code automates the full content creation pipeline through four specialized agents: planning, recording, drafting, and review.
Assess Your Engineering Team's AI Agen…
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.

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.

A systematic guide to Coze's positioning and capabilities, covering Agent-building platform categories, Skill modules, workflow orchestration, and multi-Agent team building.

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.

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.

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.

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.

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.
T3MP3ST: The Open-Source Framework Tha…
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.

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.

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.