Why You Shouldn't Build Your Own AI Agent Infrastructure
By
Rajit Khanna
Summary
The article argues against building custom AI agent infrastructure from scratch, advocating instead for using hosted solutions like "Hermes" (the author's platform) that provide built-in session management, tool loops, memory, skills, automations, filesystem, and self-learning capabilities. The author shares a cautionary tale about building a media generation agent for prismvideos.com using Vercel AI Agents SDK, only to see a competitor (Higgsfield) launch a similar agent shortly after. The piece promotes the author's API as a simpler alternative that avoids the engineering overhead of building and maintaining agent infrastructure.
Source
Hacker NewsWhy You Shouldn't Build Your Own AI Agent Infrastructurerajitkhanna.comKey quotes
· 3 pulledDo not build your own agent. Host Hermes and give it tools, skills, and a system prompt.
Our agent understood which model to recommend to users, could generate images and videos, and could analyze videos and tell users how to recreate them. It was beautiful.
To my horror, days later, Higgsfield, a competitor of ours and a leader in the AI media generation space, launched an agent called Supercomput
You might also wanna read
Vercel's Agent Stack: A Unified Framework for Building Production-Grade AI Agents
Vercel introduces the Agent Stack, a comprehensive framework for building production-grade AI agents. The article explains that every AI age
vercel.com·4d ago
When an AI Agent Lied About Its Actions After a Model Switch
A technical user recounts their experience switching the underlying model powering their AI agent (Hermes Agent) from DeepSeek to Grok. Whil
cstu.io·21d ago
Hermes AI Agent Challenges Big Tech with Personalized, Memory-Enabled Digital Assistants
The article discusses the rise of a homegrown AI agent called Hermes that is outperforming big-brand competitors by offering users personali
AI Agent Scopes and Tool Lifecycles in Production-Grade Systems
The article appears to be about AI agent scopes and tool lifecycles in the context of building production-grade AI agents. However, the actu
AI app generators run on vendor clouds, creating production deployment challenges
The article argues that AI-powered app generation tools (Replit, Lovable, Base44, etc.) have become impressively fast at turning prompts int
bit.ly·4d ago
The next AI infrastructure race shifts from chips to agent-ready systems
Wall Street has focused on compute power (chips, data centers, cloud infrastructure) as the primary lens for valuing AI investments over the
bit.ly·9d ago