u/crispseal33

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I've been experimenting with Hermes agent and similar AI agent frameworks, but I keep running into the same issues when trying to move beyond local testing.

Main pain points:

• deployment feels overly complex (servers, Docker, configs, API keys)
• memory setup is messy and inconsistent
• tool integrations take forever to wire up properly
• no clean way to keep agents always-on or running scheduled tasks
• scaling and reliability become a whole separate engineering project

At this point it feels like building the agent is only 20% of the work, and the rest is just infrastructure overhead.

Curious how others are handling this in production. Are you self hosting everything, or is there a simpler managed setup that actually works out of the box?