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YC President Garry Tan: Build Your Own AI Agent Instead of Using Packaged AI

Y Combinator's Garry Tan made the case for personal AI software this week: open-source GBrain, self-hosted agents, and full control over your AI. What developers need to know.

11 April 2026 3 min read

In this article

  • Packaged AI vs personal AI software
  • GBrain: open-source personal AI framework
  • Trust but verify: code-reviewing your AI agent
  • Why this matters for Baltic and European developers
  • Takeaway

WebEdge team

Packaged AI vs personal AI software

Garry Tan — president of Y Combinator and one of Silicon Valley's most influential voices — made a pointed argument this week on X: stop using packaged AI tools and build your own agent instead.

In a series of posts, Tan pushed the concept of personal AI software — open-source frameworks that give you full control over your agent, its memory, and its behavior — as a superior alternative to out-of-the-box products like ChatGPT or Claude.

GBrain: open-source personal AI framework

Tan is promoting GBrain, an open-source MIT-licensed agent framework designed to work with OpenClaw or Hermes agent platforms. The code is available at github.com/garrytan/gbrain.

One of its key architectural ideas: separate your knowledge wiki repository from your core agent repository. According to Tan, this lets multiple agents use git to update a shared memory base — so your agent's knowledge lives independently from its operating system.

Trust but verify: code-reviewing your AI agent

Tan also offered a concrete workflow: open your agent's own repository in Claude Code and manually code-review its commits. He calls this trust but verify — let the agent build itself autonomously, but stay in the loop on exactly what it changed and why.

This gives developers a way to audit agent behavior without micromanaging it, and stay connected to what the agent is building on their behalf.

Why this matters for Baltic and European developers

The personal AI movement is a direct response to growing frustration with packaged AI tools: limited customization, data privacy concerns, and vendor lock-in.

For developers and businesses in Lithuania and across Europe — where data sovereignty is increasingly a concern — running your own agent on your own infrastructure is more than a technical preference. It's a compliance and ownership choice.

The GBrain approach represents a practical entry point: an opinionated, ready-to-use setup that doesn't require building from scratch.

Takeaway

As Tan put it: "If you are consistently hitting the limits of what the packaged AI software world can give you, then you owe it to yourself to try the personal AI software world." @garrytan, X

This isn't just a technical argument — it's a philosophical shift toward AI as a personal tool rather than a service. WebEdge.dev tracks these developments to help businesses make informed AI choices.

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We specialise in building custom AI solutions, automation systems and web products for growth-oriented companies in Lithuania. GDPR-compliant, EU-hosted.

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