Multi-Agent Articles
Browse 431 articles about Multi-Agent.
OpenClaw April 2026: 6 Model Providers You Can Now Swap at Runtime Without Rebuilding
OpenClaw's new provider manifest lets you swap GPT-5.5, Claude, Gemini, DeepSeek, Ollama, or Gemma 4 at runtime — no workflow rebuild needed.
How to Build a Durable Incident Response Workflow in OpenClaw in Under an Hour
OpenClaw task flows handle state, revision tracking, and multi-model routing. Here's how to wire up a full incident response loop fast.
OpenClaw's Creator Joined OpenAI — Then OpenAI Made OpenClaw Free. What's the Play?
Peter Steinberger built OpenClaw, then joined OpenAI. Days later, OpenAI made OpenClaw free for all paid users. Here's what that signals.
SAP vs. Salesforce on AI Agents: One Is Blocking Access, One Is Going Headless-First
SAP is blocking agent access to its products. Salesforce is going headless and MCP-open. Here's which bet wins in an agentic world.
The Subtraction Principle: Why Removing Agent Tools Often Improves Performance
Research shows verifiers and multi-candidate search can hurt agent performance. Learn when to remove harness components as models improve.
The Tool-Agnostic Directory: Why Your AI Project Folder Should Outlive Any Single Tool
OpenClaw, Hermes, Codeex, and Claude Code can all run on the same folder. Here's why building tool-agnostic directories is the key principle.
What Is an Agentic Operating System? 9 Components Every AI Builder Needs
An agentic OS is a context management system that tells AI who you are, how you work, and what matters. Here are the 9 components that make it work.
What Is Context Rot in AI Agents and How Do You Fix It?
Context rot happens when AI forgets earlier session data as context grows. Learn the session hooks, semantic search, and GSD framework that prevent it.
What Is Harness Engineering? Why Your Agent Wrapper Drives More Performance Than the Model
Stanford and Tsinghua research shows the same model produces 6x performance gaps depending on harness design. Here's what harness engineering actually means.
What Is the Access-Meaning-Authority Framework for AI Agents?
Access gets agents into your systems. Meaning tells them what actions do. Authority determines who can do what. Learn why all three layers matter.
How to Design AI Agent Permissions That Users Actually Trust: The 5-Rung Ladder
Read, Suggest, Draft, Act with confirmation, Autonomous — the five permission levels that move users from skeptical to trusting AI agents. Build this in a day.
Alex Finn Built a Full Video Game in 1 Hour Using Codex's /goal Command — Here's How
Alex Finn used Codex's /goal agentic loop to build a complete extraction shooter with auto-generated assets in under an hour. The exact workflow.
DeepMind's Eve Online AI Agents Get Their Own Server — What the Sandbox Separation Actually Means
DeepMind's Eve agents won't touch the main Tranquility server. Here's what the sandboxed pocket environment means for agent training validity.
Demis Hassabis Personally Pushed the Eve Online Deal — What It Reveals About DeepMind's Agent Roadmap
Hassabis drove DeepMind's Eve Online equity deal himself. The progression from Atari to Chess to Eve Online reveals exactly where agent research is heading.
Google DeepMind Buys Into Eve Online: 5 Reasons It's the Perfect AI Agent Training Ground
DeepMind just took an equity stake in Eve Online's developer. Here's why a 20-year-old space MMO is the ideal environment to train frontier AI agents.
How to Build an Agentic Context Grounding System for Any Vertical
Agentic context grounding prevents generic AI outputs by reading a source of truth before generating. Learn how to build this pattern for any industry.
Meta's 'Hatch' Consumer Agent Runs on Claude — Not Llama. Here's What That Means.
Meta is training its new consumer agent 'Hatch' on Claude models, not Llama — paying Anthropic to build the agent that will eventually compete with Anthropic.
Perplexity's Comet Browser Is a Semantic Work Graph Play — Not Just a Search Replacement
Perplexity's Comet isn't competing with Chrome on features — it's trying to own the semantic meaning layer across all your work. Here's the strategic logic.
SAP Is Blocking AI Agents. Salesforce Is Welcoming Them. One of These Strategies Will Win.
SAP is actively blocking agents from its platform. Salesforce is going headless and MCP-first. Here's why one of these enterprise strategies will dominate.
What Are Semantic Work Primitives? The Missing Layer in AI Agent Design
Semantic work primitives give AI agents the meaning behind actions—not just access. Learn why this layer matters more than computer use or MCP servers.