Self-host Hermes when control matters more than convenience
Self-hosting is the right move when you want your AI agent to live in your environment, remember your workflows over time, and stay flexible about models, storage, and automation. Hermes is built for that path.
Why teams self-host Hermes
- •You want full control over memory, models, and infrastructure.
- •You need a privacy-first AI agent that can run in your own environment.
- •You want flexibility to use local LLMs, OpenRouter, Anthropic, OpenAI, or mixed providers.
- •You care about avoiding platform lock-in while keeping the option to move fast in the cloud first.
What self-hosting unlocks
Persistent memory that stays inside your stack.
Automation that can touch your own tools, files, and processes.
Freedom to choose local models, external APIs, or mixed routing.
A cleaner long-term path for security, governance, and customization.
Pick the right deployment path
Local machine
Best for development, experimentation, and personal workflows. Great when you want to learn the stack before moving it to production.
VPS or server
Best for always-on agents, cron jobs, messaging integrations, and multi-user workflows that need uptime and remote access.
Hybrid cloud-to-self-host
Best when you want to validate use cases fast in FlyHermes and move deeper into self-hosting once the workflow is proven.
Good first reads
When not to self-host yet
If your team still needs to validate the use case, a managed path is often the better first decision.
If you are optimizing for immediate speed instead of deep control, FlyHermes helps you learn what the workflow should be before you invest in infrastructure.
Start with FlyHermes instead