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17 articles on agent orchestration, architecture, and automation
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When your agent chain produces wrong output, here's the systematic process for finding and fixing the problem. From event inspection to prompt diagnosis.
Frameworks help you build one agent. Orchestration helps you coordinate many. Here's why the distinction matters and which one you actually need.
What we learned building and running an agent orchestration platform for a year. Architecture decisions, what worked, what we'd change, and advice for builders.
Everything you need to know about Mentiko's event-driven architecture: file-based events, trigger/emit patterns, conditional routing, error handling, and debugging.
DAGs made sense for data pipelines. But AI agents aren't data pipelines. Here's why event-driven architecture is a better fit for multi-agent systems.
Why Mentiko uses file-based events instead of Redis, RabbitMQ, or Kafka. The tradeoffs are real -- and for agent orchestration, files win.
A step-by-step tutorial to create a research-and-summarize agent chain using Mentiko's visual builder or JSON.
From sequential pipelines to self-healing error recovery, these five patterns are the building blocks of every agent orchestration system.
Multi-agent systems are just getting started. Here's where agent orchestration is headed: autonomous teams, cross-org collaboration, and agents that improve themselves.
When AI agents run autonomously, you need to know what's happening. Here's the monitoring stack for agent chains: metrics, logs, alerts, and dashboards.
No containers. No microservices. No service mesh. Just bash, PTY sessions, and file-based events. Here's why simpler was better.
The difference between running AI agents in sandboxed environments vs real terminal sessions. Why PTY access matters for production agent workflows.