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Multi-Agent Articles

Browse 139 articles about Multi-Agent.

Paperclip vs OpenClaw: Which Multi-Agent System Should You Use?

Compare Paperclip and OpenClaw for running autonomous AI agent teams. Key differences in architecture, use cases, cost, and deployment complexity.

Workflows Multi-Agent Comparisons

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

Paperclip is a free, open-source orchestration tool that lets you run a company with AI agents as CEO, marketer, designer, and more using Claude Code.

Workflows Automation Multi-Agent

Agent SDK vs Framework: When to Use Claude Agent SDK vs Pydantic AI for Production

Claude Agent SDK is fast to build but slow and token-heavy at scale. Pydantic AI gives you speed and control. Here's exactly when to use each for your workflow.

Claude Workflows Multi-Agent

What Is Agent Skills as an Open Standard? How Claude, OpenAI, and Google Adopted the Same Format

Agent Skills started as a Claude feature but became an open standard adopted by OpenAI, Google DeepMind, and others. Here's why it matters more than MCP.

Multi-Agent Integrations Workflows

How to Build a Multi-Agent Company with Paperclip and Claude Code

Learn how to set up Paperclip with Claude Code to create a CEO, engineer, and QA agent team that runs your business autonomously with heartbeat scheduling.

Multi-Agent Claude Automation

What Is the Heartbeat Pattern in Paperclip? How AI Agents Stay Productive 24/7

Paperclip's heartbeat system wakes AI agents on a schedule with fresh context so they can keep working around the clock without human intervention.

Multi-Agent Automation Workflows

What Is Paperclip? The Open-Source Framework for Zero-Human AI Companies

Paperclip is a free, open-source orchestration tool that lets AI agents hire other agents, set goals, and run an entire business autonomously with Claude Code.

Multi-Agent Automation Workflows

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