AI Agent 24/7 Hosting Launcher
Deploy autonomous LLM agents built with LangChain, CrewAI, or custom Python runners. Manage vector memory allocation and export 1-click Docker containers.
🛠️ Agent Process Configurator
📊 Recommended Node Spec
AI Agent Hosting FAQ
Common questions about deploying autonomous AI agents.
What is an autonomous AI Agent host?
An AI Agent host is a dedicated server background process that runs LLM framework loops (like LangChain, CrewAI, or AutoGPT). It listens to webhooks or scheduled triggers, queries vector databases, and executes autonomous sub-tasks 24/7.
How do I prevent my AI agent from getting stuck in infinite loops?
Set max iteration limits (e.g. `max_iterations=10`) and timeout bounds on your agent executor loops. You should also monitor CPU and RAM limits using our Docker compose healthchecks.
What hardware spec is recommended for running LLM agents?
For API-driven agents (calling OpenAI or Anthropic), 1 vCPU and 1 GB to 2 GB RAM is sufficient. If you plan to run local embeddings or Ollama models, you'll need 4+ vCPUs and 8-16 GB RAM or a GPU server.