Multi-Agent Articles
Browse 172 articles about Multi-Agent.
What Is the AI Model Tipping Point? How Claude Opus 4.5 Made Agentic Tools Actually Work
Agentic tools failed with GPT-3.5 but work with Claude Opus 4.5 and 4.6. Learn why model quality—not tooling—is the real driver of the agentic AI revolution.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams let multiple AI agents communicate through a shared task list. Learn how to enable it, when to use it, and what the token cost is.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for maximum productivity.
What Is the Claude Code Split-and-Merge Pattern? How Sub-Agents Run in Parallel
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously. Learn how it works and when to use it over agent teams.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With an Image Segmentation Model
Combine Gemma 4 with Falcon Perception to build a vision agent that counts objects, segments images, and reasons about visual data—all running locally.
What Is Anthropic's Managed Agents? How to Build and Deploy AI Agents Without Infrastructure
Anthropic Managed Agents lets you build, test, and deploy AI agents with built-in OAuth, credential vaults, and hosted environments—no server setup required.
What Is the Archon Harness Builder? The Open-Source Framework for Custom AI Coding Workflows
Archon is the first open-source harness builder for AI coding. Learn how it wraps Claude Code and Codex to create deterministic, reusable workflows in YAML.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for maximum productivity.
Claude Mythos Benchmark Results: SWE-Bench 93.9% and What It Means for AI Agents
Claude Mythos scores 93.9% on SWE-Bench Verified, up from 80% on Opus 4.6. Here's what the benchmark jump means for agentic coding workflows.
What Is the Claude Code Split-and-Merge Pattern? How Sub-Agents Run in Parallel
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously, each with its own context window, then merge results automatically.
What Is the Conway Agent? Anthropic's Unreleased Always-On Background AI Revealed in the Code Leak
Conway is Anthropic's leaked always-on background agent with push notifications, GitHub subscriptions, and a proprietary extension format. Here's what we know.
What Is Harness Engineering? The Next Evolution Beyond Prompt and Context Engineering
Harness engineering orchestrates multiple AI coding agent sessions to handle complex workflows. It's why Stripe ships 1,300 AI pull requests per week.
What Is Qwen 3.6 Plus? Alibaba's 1M Token Agentic Coding Model With Real-World Agent Design
Qwen 3.6 Plus is Alibaba's frontier-level model built for real-world agents with a 1M token context window, multimodal vision, and strong coding benchmarks.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams lets multiple AI agents collaborate via a shared task list. Learn how it differs from sub-agents, when to use it, and the token cost.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With Image Segmentation
Combining Gemma 4 with Falcon Perception creates an agentic pipeline that counts objects, segments images, and reasons across modalities. Here's how it works.
What Is Agent Identity Infrastructure? Why Email Is a Shim and What Comes Next
Agent Mail raised $6M to give AI agents email addresses as identity. But email was built for humans. Here's what agent-native identity actually requires.
What Is the Agent Infrastructure Stack? The Six Layers Every AI Builder Needs to Understand
From compute sandboxes to orchestration, here are the six infrastructure layers powering AI agents and why each one matters for your deployments.
What Is the Agent Integration Layer? How Compose.io Solves the N×M Enterprise Tool Problem
Every agent touching your CRM, ticketing, email, and calendar creates an N×M integration nightmare. Here's how managed integration layers fix it.
What Is Agent Memory Infrastructure? How Mem0 Beats OpenAI's Built-In Memory by 26%
Mem0 uses a hybrid graph, vector, and key-value store to outperform OpenAI's memory on accuracy, latency, and token usage. Here's how it works.
What Is Agent Orchestration? Why It's the Biggest Unsolved Problem in the AI Stack
Scheduling, lifecycle management, supervision hierarchies, and FinOps for agents don't exist yet as managed infrastructure. Here's what's missing.