Multi-Agent Articles
Browse 597 articles about Multi-Agent.
Why the Heartbeat Pattern Beats Persistent Sessions for AI Agents
Persistent agent sessions are fragile and expensive. Paperclip's heartbeat pattern, drawn from distributed systems, wakes agents on a schedule for reliability.
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.
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.
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.
Run an AI Engineering Team in Paperclip With Heartbeats
Wire up a CEO, engineer, and QA agent team in Paperclip with heartbeat scheduling so Claude Code keeps building and verifying work autonomously.
Heartbeat Pattern Explained: Keeping Stateless AI Agents Working
LLMs are stateless by default. Paperclip's heartbeat pattern injects fresh context on a schedule so AI agents can run autonomous monitoring and follow-up tasks.
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.
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.
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.
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.
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.
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.
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.
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.
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 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 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.
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.
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.
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.