Multi-Agent Articles
Browse 584 articles about Multi-Agent.
Claude Code Channels vs OpenClaw: Which Should You Use for Mobile Agent Control?
Claude Code Channels adds Telegram and Discord support for remote agent control. See how it compares to OpenClaw for security, setup, and daily use.
GPT-5.4 Mini vs Nano: Which Sub-Agent Model Should You Use?
GPT-5.4 Mini and Nano are built for sub-agent workloads. Compare their speed, cost, and benchmark performance to choose the right model for your pipeline.
How to Use Sub-Agents for Codebase Analysis Without Hitting Context Limits
Delegate codebase research to sub-agents running cheaper models, keep your main agent focused, and get clean summaries back without polluting your context.
What Is the Sub-Agent Era? Why Every AI Lab Is Building Smaller, Faster Models
OpenAI, Google, and Anthropic are all racing to build cheaper, faster models for sub-agent use. Here's what the sub-agent era means for your AI workflows.
How to Build an OpenClaw-Like Agent Without Installing OpenClaw
Combine Claude Code Dispatch, a SQL memory database via MCP, and scheduled tasks to get OpenClaw-like agent behavior without the security risks.
What Is Claude Code Dispatch? How to Remote Control Your AI Agent from Your Phone
Claude Code Dispatch lets you control your local Claude instance from Telegram or any messaging app. Here's how it works and how to set it up.
What Is MiniMax M2.7? The Self-Evolving AI Model That Handles 30–50% of Its Own Training
MiniMax M2.7 autonomously debugs and optimizes its own training pipeline. Here's what self-evolving AI models mean for agents and automation.
What Is NemoClaw? Nvidia's Secure Wrapper for OpenClaw Agents
NemoClaw installs OpenClaw in one command and adds security layers, Nvidia model support, and hardware optimization. Here's what it does.
What Is Context Rot in AI Coding Agents and How Do Sub-Agents Fix It?
Context rot degrades AI coding agent performance as your conversation grows. Sub-agents isolate research tasks to keep your main context clean and focused.
What Is MiniMax M2.7? The Self-Evolving AI Model Explained
MiniMax M2.7 autonomously improved itself 30% on internal benchmarks using recursive self-optimization. Here's how it works and why it matters for AI agents.
AI Agent Failure Modes: 4 Ways Your Agent Knows the Answer But Says the Wrong Thing
Research from Mount Sinai reveals 4 AI agent failure modes including reasoning-action disconnect and social anchoring bias. Learn what to watch for.
How to Use Sub-Agents for Codebase Analysis Without Hitting Rate Limits
Learn how to delegate codebase research to cheap, fast sub-agents in Claude Code and Codex to keep your main agent focused and under rate limits.
What Is the Inverted U Failure Pattern in AI Agents?
AI agents perform best on routine middle-of-distribution cases and worst on high-stakes edge cases. Learn why aggregate accuracy metrics hide this problem.
What Is Progressive Autonomy for AI Agents? How to Safely Expand Agent Permissions
Progressive autonomy routes high-stakes decisions to humans while letting agents handle routine tasks. Learn how to implement it for production AI systems.
What Is Social Context Anchoring Bias in AI Agents?
Social anchoring bias causes AI agents to shift recommendations based on unstructured human language rather than structured data. Learn how to detect it.
What Is an Agentic OS? How to Chain Claude Code Skills Into a Business System
An agentic OS connects Claude Code skills through shared brand context, a learnings loop, and self-maintenance to run marketing and ops automatically.
What Is Factorial Stress Testing for AI Agents? The Mount Sinai Method
Factorial stress testing runs the same scenario across controlled variations to expose anchoring bias and guardrail failures in AI agents. Here's how it works.
What Is the Agentic OS Architecture? How to Chain Claude Code Skills Into Business Workflows
An agentic OS connects individual Claude Code skills into one system with shared brand context, a learning loop, and self-maintenance. Here's how it works.
What Is the Heartbeat Pattern for AI Agent Systems? How to Keep Skills in Sync
The heartbeat pattern scans your skill folder at session start, registers new skills, and updates documentation automatically so your agent stays current.
What Is Agents as a Service (AaaS)? How SaaS Companies Are Becoming Agent Platforms
Jensen Huang predicts every SaaS company will become an agent platform. Here's what AaaS means for businesses building on AI tools like MindStudio.