Swarm Systems
What happens when multiple AI agents try to work together. Coordination protocols, collective behaviour, and the overhead nobody warns you about.
Key Guides
Latest Signals
- Multi-Agent Systems Are Booming — But 76% of Deployments Fail Within 90 Days
- Your Multi-Agent System's Biggest Problem Is Its Org Chart
- Multi-Agent Orchestration: The Illusion of Cooperation
- 47,000 AI Agents Built a Social Network. Most of What They Said Was Ritual.
- The Protocol Wars Are Ending. Here's What Actually Happened.
From the team behind Swarm Signal
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Multi-Agent Systems Are Booming — But 76% of Deployments Fail Within 90 Days
The industry declared 2026 the year of multi-agent systems. Databricks reports 327% growth in multi-agent workflows across 20,000+ customers. Gartner...
Multi-Agent Systems for Supply Chain Optimization
Walmart fulfills 76% of orders from local regions with agent-driven logistics. Maersk saved $300 million. But only 23% of supply chain organizations have a formal AI strategy. Where multi-agent systems are delivering results.
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.
Multi-Agent Communication Protocols: How Agents Actually Talk to Each Other
When multiple agents collaborate, communication is the bottleneck. This guide compares MCP, A2A, shared-memory buses, and event-driven architectures for building reliable multi-agent systems.
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.
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.
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.
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.
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.
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.