June 11, 2026
Build less, gossip more
Building agents without harness engineering
Why build from scratch when the internet says just borrow the robot brain
TLDR: A video AI startup ditched its custom-built agent and rebuilt on Hermes after a competitor shipped more features faster. Commenters were split between calling it a smart shortcut and asking the painfully practical questions about cost, security, and whether anyone actually understands the pitch.
A startup founder showed up with a bold confession: they built a flashy AI helper for making videos, then panic-swerved after a rival released a more powerful one built on Hermes, an open-source agent platform with a huge fanbase. Instead of spending weeks adding memory, automation, and file handling, they scrapped their original setup and rebuilt around Hermes so each customer gets their own ready-made agent. In plain English: why spend months building the robot’s organs when you can just rent the whole body and focus on your app’s special sauce?
But the comments were where the real fireworks started. One camp basically said, wait, isn’t the whole tech world doing the opposite right now? User adamtaylor_13 admitted they read it twice and still didn’t get the pitch, which is honestly the most relatable review of AI writing in 2026. Another crowd went straight into paranoia mode: How expensive is one container per customer? Is this thing running all day? What stops people from turning it into a general-purpose chaos machine? That was jadar, voicing the classic internet fear: cool demo, but who pays and who gets hacked?
Then came the strategy discourse. stopachka asked the money question: if the tool itself won’t make startups rich, what will—data, customer knowledge, or something else? Meanwhile, one commenter basically shrugged and said this sounds a lot like using Claude’s toolkit with extra memory. The vibe was equal parts “genius shortcut” and “is this just a rebrand with Docker receipts?”
Key Points
- •The article says prismvideos.com replaced a custom media-generation agent built with Vercel AI Agents SDK after seeing Higgsfield's Hermes-based Supercomputer agent.
- •The article describes Hermes as providing built-in capabilities including session management, memory, tools, skills, self-learning, automations, and filesystem support.
- •The implementation described uses an EC2-hosted Hono server that creates one Hermes agent in a Docker container per customer and communicates via WebSockets.
- •The team says this architecture allows it to focus on domain-specific tools, prompts, skills, and integrations such as MCP servers, Meta Ads Manager, Google Drive, and Resend.
- •The article presents a deployment API example showing how a Hermes runtime, model, system prompt, sandbox, and MCP servers can be provisioned programmatically.