Multi-Agent Articles
Browse 597 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.
Beyond One-Shot Prompts: 5 Claude Code Workflow Patterns Explained
Anthropic's five Claude Code workflow patterns explained with real engineering tasks — schema migrations, test loops, and review chains where each pattern fits.
When to Use Split-and-Merge in Claude Code (vs. Sequential Chains)
A practical guide to choosing split-and-merge over sequential chains or agent teams in Claude Code, with orchestration patterns and merge strategies.
Anthropic Managed Agents: A Hosted Runtime for Claude + MCP
Managed Agents pairs Claude's agentic API with MCP and hosted compute. Here's what the platform includes and how it changes Claude-based agent deployment.
Wrap Claude Code and Codex With Archon for Determinism
Use Archon to wrap Claude Code and OpenAI Codex CLI in YAML workflows that are version-controlled, reviewable, and reproducible across runs.
Autonomy vs. Control in Claude Code: 5 Agentic Workflow Patterns
Five Claude Code patterns ranked by autonomy: sequential, operator, split-and-merge, agent teams, headless. Pick the right tradeoff between control and speed.
From 80% to 93.9%: Why the Claude Mythos SWE-Bench Jump Matters
Claude Mythos jumped from 80% (Opus 4.6) to 93.9% on SWE-Bench Verified. A look at the gain and what it changes for agentic coding workflows in practice.
Claude Code Split-and-Merge: A Deep Dive Into Sub-Agent Parallelism
How Claude Code's split-and-merge pattern uses isolated context windows across 10 sub-agents to handle codebases too large for a single agent to process.
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.
How Stripe Ships 1,300 AI PRs a Week: Harness Engineering
Stripe ships 1,300 AI-generated PRs every week, powered by harness engineering — the discipline beyond prompt and context for multi-agent orchestration.
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 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.
What Is Agent Sprawl? The Microservices Problem Coming for AI Teams in 2026
Just like microservices sprawl hit engineering teams in 2018, agent sprawl is coming. Here's how to invest in orchestration before it becomes a crisis.
What Is the Agentic OS Command Center? How to Manage AI Agents by Goals Instead of Terminals
The Command Center replaces terminal tab management with a Kanban board for business goals, with built-in skills management and scheduled tasks.
Gemma 4 vs Qwen 3.6 Plus: Which Open-Weight Model Is Better for Agentic Workflows?
Gemma 4 ships with Apache 2.0 and native function calling. Qwen 3.6 Plus has a 1M token context window. Here's how they compare for agent use cases.