From the Team
The AgentHost Blog
Prompt Engineering for Agent Reliability
Good prompts don't just improve output quality — they determine whether your agent fails gracefully or catastrophically. Here are the patterns that make agents more robust.
Why Traditional Hosting Fails for Autonomous Agents
Web servers, serverless functions, and container platforms were built for request-response workloads. Here's why autonomous agents demand something fundamentally different.
OpenClaw v2026.3.2: What's New and How to Upgrade
The latest OpenClaw release ships improved memory management, faster vector lookups, and a new tool execution sandbox. Here's everything you need to know.
Agent Memory Architectures: A Practical Guide
Short-term, long-term, episodic, semantic — understanding the different memory layers in autonomous agents and how to implement them effectively.
Deploying AutoGPT in Production: Lessons Learned
Running AutoGPT in a demo is easy. Running it reliably at scale for real users is a different problem entirely. Here's what we've learned from production deployments.
Securing Your AI Agent Sandbox
Autonomous agents execute code, browse the web, and call external APIs. Without proper isolation, one malicious prompt is all it takes to compromise your infrastructure.
GPU vs CPU for LLM Inference: When to Upgrade
Not every agent workload needs a GPU. Understanding the cost/performance tradeoffs helps you provision the right hardware and avoid overspending on compute you don't need.
Multi-Region Agent Deployments: A Technical Guide
Deploying agents across multiple regions reduces latency, improves reliability, and addresses data residency requirements. Here's how to architect it correctly.
Rate Limiting and Cost Control for LLM-Powered Agents
Without explicit cost controls, a single runaway agent task can generate hundreds of dollars in API costs. Here's how to build budget management into your agent infrastructure.
Monitoring Long-Running Agents: Observability Patterns
Standard APM tools weren't built for processes that run for hours and make hundreds of non-deterministic decisions. Here's how to build observability into your agent stack.
The Agentic Stack: Infrastructure Layers Explained
From kernel-level isolation to LLM APIs, the infrastructure powering autonomous agents is a distinct stack. Here's a map of every layer and what it does.