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This tutorial sets up Hermes Agent as a self-hosted AI agent in Docker and connects it to Telegram for an eBay price search. The speaker describes Hermes as a personal assistant that learns skills through use and retains knowledge across sessions. Those learning and token-saving claims are presented as expected behavior rather than measured results.
The setup selects Anthropic with Claude Opus 4.6, keeps the terminal backend local to the container, and uses the default limit of 60 tool iterations. The speaker installs Hermes in Docker to limit its access to the host computer; the demonstration does not establish an absolute isolation guarantee. Telegram configuration requires a bot token and an allowed user ID. Firecrawl cloud becomes the search provider through an API key, and gateway mode lets the user message Hermes through Telegram.
The test asks for the cheapest Charizard Pokémon card on eBay. Hermes attempts to use Firecrawl MCP and has trouble finding the configured API key before returning results. A follow-up request retrieves listing links, but the speaker questions whether a 99-cent result is actually the intended card and recommends refining the search. The final prompt creates an hourly cron job. This is a marketplace monitoring walkthrough with cloud services, not an offline model setup, and the returned listings still need checking.
