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Multi-Agent Articles

Browse 597 articles about Multi-Agent.

Perplexity Computer vs OpenClaw: Which AI Agent Platform Should You Use?

Compare Perplexity Computer and OpenClaw across setup complexity, integrations, security, cost, and use cases to find the right agent platform.

Multi-AgentAutomationComparisons

What Is Perplexity Computer? The Hosted AI Agent Alternative to OpenClaw

Perplexity Computer is a fully hosted AI agent with pre-built connectors, skills, and multi-model support. Learn how it compares to self-hosted agents.

Multi-AgentAutomationIntegrations

NVIDIA Nemotron 3 Ultra: 550B Parameters, 5x Faster, 30% Cheaper for Agents

NVIDIA's Nemotron 3 Ultra is a 550B open-weight model built for agentic tasks. It beats trillion-parameter models on agent benchmarks at a fraction of the cost.

LLMs & ModelsMulti-AgentAI Concepts

Three Futures for AI: Plateau, Human-Guided Acceleration, or Recursive Self-Improvement

Anthropic's RSI report outlines three possible AI futures. Understanding which scenario we're in determines how you should build your AI workflows today.

AI ConceptsEnterprise AIMulti-Agent

Claude Opus 4.8 vs GPT 5.5: Which Model Wins for Long-Running Agentic Tasks?

Claude Opus 4.8 and GPT 5.5 take different approaches to agentic work. Compare harness quality, reasoning consistency, and real-world task performance.

ClaudeGPT & OpenAIComparisons

What Is NVIDIA Nemotron 3 Ultra? The 550B Open-Weight Model Built for Agents

NVIDIA Nemotron 3 Ultra is a 550B parameter open-weight model optimized for agentic tasks. Learn how it compares to frontier models and how to access it.

LLMs & ModelsMulti-AgentAI Concepts

NVIDIA Nemotron 3 Ultra vs Claude Opus 4.8: Which Open Model Wins for Agents?

Compare NVIDIA Nemotron 3 Ultra and Claude Opus 4.8 on agent benchmarks, speed, cost, and tool-calling to find the right model for your agentic workflows.

ClaudeLLMs & ModelsComparisons

What Is Claude Opus 4.8? Anthropic's Incremental Model Update Explained

Claude Opus 4.8 brings improved agentic task performance and a new /workflows command. Here's what changed, what didn't, and when to use it.

ClaudeLLMs & ModelsAI Concepts

How to Use Claude Code Agent Teams for Multi-Perspective Brainstorming

Claude Code agent teams let multiple AI personas debate and reach consensus. Here's how to enable the feature and use it for strategy and analysis.

ClaudeMulti-AgentWorkflows

What Is the /workflows Command in Claude Code? Dynamic Multi-Agent Workflows Explained

The /workflows command in Claude Code lets you compose multi-agent workflows dynamically with full transparency. Here's how it works and when to use it.

ClaudeWorkflowsMulti-Agent

Claude Opus 4.8 vs GPT 5.5 in Real Agentic Workflows: Which Model Wins?

Claude Opus 4.8 and GPT 5.5 take different approaches to agentic work. Here's how they compare on speed, harness quality, and real task completion.

ClaudeGPT & OpenAIComparisons

What Is the Dark Factory Approach to AI Agent Pipelines? How to Remove Human Bottlenecks

A dark factory AI pipeline uses agents for PR reviews, merge conflicts, and monitoring so humans move from in-the-loop to over-the-loop oversight.

AutomationWorkflowsEnterprise AI

How to Mix Claude and Gemini in One AI Coding Workflow for Better Results

Use Claude Opus for planning and Gemini 3.5 Flash for UI design in a single multi-provider workflow. Here's the architecture and how to implement it.

ClaudeGeminiWorkflows

How to Use AI Agents to Build and Test LLM Benchmarks: Lessons from Claude Opus 4.8

Claude Opus 4.8 built an entire economic simulation benchmark autonomously. Learn how to use AI agents to design and run your own LLM evals.

ClaudeMulti-AgentWorkflows

Anthropic Dynamic Workflows: What Everyone Gets Wrong About When to Use Them

Dynamic workflows burn tokens fast. Learn exactly when to use them vs sub-agents or /goal, and how to avoid costly mistakes in Claude Code.

ClaudeWorkflowsMulti-Agent

What Is Claude Opus 4.8 Ultra Code Mode? Dynamic Workflows vs /goal Explained

Claude Opus 4.8 Ultra Code mode activates dynamic workflows for parallel sub-agents. Learn when to use it vs /goal for agentic tasks.

ClaudeWorkflowsMulti-Agent

Shared vs Private AI Agent Memory: How to Design Access Control for Teams

Learn how to structure shared and private memory in a team AI agent system using Notion, GitHub, and PostgreSQL row-level security.

WorkflowsMulti-AgentIntegrations

What Is NVIDIA Vera? The CPU Built for AI Agents and Agentic Workloads

NVIDIA Vera is the first CPU designed for AI agents, not humans. Learn how its architecture accelerates agentic sandbox performance by 1.88x.

Multi-AgentEnterprise AIAI Concepts

What Is RTX Spark? NVIDIA and Microsoft's AI-First PC Chip Explained

RTX Spark is NVIDIA's new chip that fuses a Blackwell GPU and Grace CPU to run AI agents locally. Learn what it means for AI builders.

AI ConceptsEnterprise AIMulti-Agent

Claude Code Dynamic Workflows vs /goal vs Agent Teams: A Decision Framework

Dynamic workflows, /goal, and agent teams solve different problems. Here's a clear decision framework for choosing the right pattern for your task.

ClaudeMulti-AgentWorkflows