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Multi-Agent Articles

Browse 152 articles about Multi-Agent.

AI Agent Failure Pattern Recognition: The 6 Ways Agents Fail and How to Diagnose Them

Context degradation, specification drift, sycophantic confirmation, tool errors, cascading failure, and silent failure: the 6 agent failure modes explained.

Multi-Agent Automation AI Concepts

What Is Claude Code iMessage Channel? How to Text Your AI Agent from Your Phone

Claude Code's iMessage channel lets you control your AI agent by text. Learn how to set it up and what it can do for your workflow.

Claude Workflows Automation

What Is Hermes Agent? The OpenClaw Alternative with a Built-In Learning Loop

Hermes Agent is an open-source AI agent framework that creates skills from experience, improves them during use, and builds a model of you across sessions.

Multi-Agent Automation AI Concepts

What Is Paperclip? The Open-Source Framework for Running a Zero-Human AI Company

Paperclip is an open-source orchestration system that assigns goals to AI agent teams and tracks their work from a single dashboard. Here's how it works.

Multi-Agent Automation AI Concepts

Four Types of AI Agents Explained: Coding Harnesses, Dark Factories, Auto Research, and Orchestration

Not all AI agents are the same. Learn the four distinct agent types used in production, when to use each, and why mixing them up leads to failure.

Multi-Agent Workflows AI Concepts

Single-User vs Multi-User AI Agents: Why Architecture Changes Everything at Scale

Building an AI agent for yourself is fundamentally different from deploying one for thousands of users. Here's what breaks and how to architect for scale.

Multi-Agent Workflows Enterprise AI

What Is a Dark Factory AI Agent? How to Build Fully Autonomous Software Pipelines

Dark factory agents run spec-to-software with minimal human involvement. Learn how they work, when to use them, and how they differ from coding harnesses.

Multi-Agent Workflows Automation

What Is the Auto Research Loop? How AI Models Now Train Themselves

From MiniMax M2.7 to OpenAI Codex, AI models are now helping build the next version of themselves. Here's how the auto research loop works and why it matters.

LLMs & Models AI Concepts Multi-Agent

What Is the Agentic OS Architecture? How to Stack Context, Memory, Collaboration, and Self-Learning

The agentic OS combines four patterns: fresh context, shared brand memory, skill collaboration, and self-learning. Here's how to build it.

Claude Multi-Agent Workflows

Claude Code Computer Use vs OpenClaw: Which Agent Control System Is Better?

Compare Claude Code Computer Use and OpenClaw for desktop automation, security, and ease of setup to find the right agent control system.

Claude Automation Comparisons

Claude Code Skill Collaboration: How to Chain Skills Into End-to-End Workflows

Learn how to build Claude Code skills that hand off work to each other automatically, eliminating you as the bottleneck in multi-step workflows.

Claude Workflows Multi-Agent

How to Evaluate Any New AI Agent Product Using Three Key Axes

Use the where-it-runs, who-orchestrates, and interface-contract framework to quickly evaluate any new AI agent product and decide if it fits your needs.

AI Concepts Automation Multi-Agent

What Is the OpenClaw Ecosystem? How to Choose Between Sovereignty, Delegation, and Distribution

OpenClaw, Perplexity Computer, Manis, and Claude Dispatch each make different bets. Here's the framework for choosing the right agent platform.

Automation Multi-Agent AI Concepts

What Is the Relentless Simplification Trend in AI? Why Every Tool Is Becoming a Conversational Agent

AI agents are compressing the interface layer across every vertical. Learn what this means for builders and which products will survive the shift.

AI Concepts Automation Multi-Agent

What Is Anthropic Claude Code Agent Teams? How Parallel Agents Coordinate in Real Time

Claude Code Agent Teams let multiple AI agents work in parallel and communicate with each other. Learn how they work and when to use them.

Claude Multi-Agent Workflows

What Is Claude Code Computer Use? How to Control Your Desktop with AI

Claude Code's new Computer Use feature lets AI control your mouse, keyboard, and apps. Learn how it works and when to use it.

Claude Automation Multi-Agent

What Is Manis My Computer? Meta's Desktop AI Agent Explained

Manis My Computer brings the web-based Manis agent to your desktop, letting it execute terminal commands and control local apps. Here's what it does.

AI Concepts Automation Multi-Agent

What Is Perplexity Computer? The Cloud-Based AI Agent That Delegates Desktop Work

Perplexity Computer runs AI agents entirely in the cloud, handling long-running tasks without local setup. Here's what it does and who it's for.

AI Concepts Automation Multi-Agent

How to Optimize AI Agent Token Costs with Multi-Model Routing

Using the right model for each task—frontier for planning, smaller for sub-agents—can cut your AI token costs dramatically. Here's a practical routing strategy.

Multi-Agent LLMs & Models Optimization

How to Build a Claude Code Skill That Chains Into a Full Business Workflow

Learn how to chain Claude Code skills so they hand off work to each other automatically—no manual copy-pasting, no context pollution, no bottlenecks.

Workflows Automation Multi-Agent