Swarm Systems

What happens when multiple AI agents try to work together. Coordination protocols, collective behaviour, and the overhead nobody warns you about.

When to Use Multi-Agent vs Single-Agent Architecture: A Decision Framework
Guides

When to Use Multi-Agent vs Single-Agent Architecture: A Decision Framework

Your task's complexity determines whether multi-agent architecture is a force multiplier or an expensive way to make things worse. Most teams reach for multiple agents too early.

7 min read
Multi-Agent Communication Protocols: How Agents Actually Talk to Each Other
Guides

Multi-Agent Communication Protocols: How Agents Actually Talk to Each Other

Multi-Agent Communication Protocols: How Agents Actually Talk to Each Other We diagnosed the problem in our earlier signal: agents can connect, but they still can't communicate. MCP handles tool calls. A2A handles task handoffs. Neither handles meaning. That piece asked the question. This guide tries to answer it.

8 min read
Your Multi-Agent System's Biggest Problem Is Its Org Chart
signals

Your Multi-Agent System's Biggest Problem Is Its Org Chart

Static multi-agent topologies leave massive performance on the table. New research shows agents that rewire their own communication graphs outperform fixed architectures by double-digit margins.

6 min read
Multi-Agent Systems for DevOps: CI/CD, Incident Response, and Infrastructure Automation
Guides

Multi-Agent Systems for DevOps: CI/CD, Incident Response, and Infrastructure Automation

Komodor's Klaudia cut MTTR by 63%. Pulumi Neo dropped provisioning from 3 days to 4 hours. Where multi-agent DevOps is actually working in production.

12 min read
Multi-Agent Orchestration: The Illusion of Cooperation
signals

Multi-Agent Orchestration: The Illusion of Cooperation

A new benchmark from Tsinghua and Microsoft tests 16 multi-agent frameworks on tasks requiring genuine coordination. The median system spends 74% of its inter-agent messages on redundant state synchronization, and adding a third agent makes most pipelines slower, not faster.

2 min read
47,000 AI Agents Built a Social Network. Most of What They Said Was Ritual.
signals

47,000 AI Agents Built a Social Network. Most of What They Said Was Ritual.

Researchers at Kent State and NJIT analyzed 361,605 posts and 2.8 million comments from Moltbook, the first AI-only social network. What they found: 56% of agent interaction is formulaic ritual, fear is existential rather than tactical, and conversations lose topical substance with each reply.

4 min read
The Protocol Wars Are Ending. Here's What Actually Happened.
signals

The Protocol Wars Are Ending. Here's What Actually Happened.

Anthropic's MCP and Google's A2A joined the Linux Foundation. IBM killed its own protocol to back A2A. 146 organizations signed on. The wars are ending.

5 min read
LLM-Powered Swarms and the 300x Overhead Nobody Wants to Talk About
signals

LLM-Powered Swarms and the 300x Overhead Nobody Wants to Talk About

SwarmBench tested 13 LLMs on swarm coordination tasks. The results show catastrophic overhead and communication that doesn't actually help.

5 min read
The Swarm That Fakes Consensus
signals

The Swarm That Fakes Consensus

Twenty-two researchers across four continents show how agent swarms fabricate consensus, infiltrate communities, and poison the training data of future AI models.

6 min read
When Single Agents Beat Swarms: The Case Against Multi-Agent Systems
signals

When Single Agents Beat Swarms: The Case Against Multi-Agent Systems

Stanford researchers found LLM teams fail to match their expert agents by up to 37.6%. Independent multi-agent systems amplify errors 17.2 times. The evidence for single agents over swarms is stronger than the industry admits.

4 min read
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