One of the biggest challenges I face isn’t creating information.

It’s remembering where I put it.

Over the years I’ve accumulated thousands of files—technical manuals, architecture diagrams, meeting notes, research papers, project documentation, videos, and countless Markdown files spread across multiple projects. Finding the right document often takes longer than solving the problem itself.

That’s why I’m excited to share another milestone in my personal AI journey.

J.A.R.V.I.S (Just A Rather Very Intelligent System) is now successfully integrated with my self-hosted Nextcloud instance.

At this stage, the integration gives J.A.R.V.I.S direct access to my document repository. While that may sound like a simple feature, for me it represents something much bigger.

It lays the foundation for the next project I’m calling my Personal AI Knowledge Hub.

More Than Cloud Storage

For many people, Nextcloud is simply a place to synchronize files. For me, it’s becoming the central repository of everything I’ve learned throughout my career.

Project documentation.
Technical references.
Meeting notes.
Research papers.
Personal ideas.
Architecture decisions.
Runbooks.

Instead of being scattered across folders, they now live in one secure, self-hosted platform. The next challenge is teaching J.A.R.V.I.S how to use that knowledge effectively.

The Next Goal: Building a Knowledge Hub

Connecting J.A.R.V.I.S to Nextcloud isn’t the destination. It’s the starting point. The vision is to build a knowledge hub where AI can help me navigate my own information naturally. Imagine asking questions like:

“Show me the latest Kubernetes deployment guide.”
“Summarize the meeting notes from last week’s discussion.”
“Compare this architecture document with the previous version.”
“Find every document related to Percona XtraDB Cluster.”

Rather than searching by filename or folder structure, I want to search by meaning, context, and relationships.

That’s the capability I’m now working toward.

Building It One Step at a Time

One lesson I’ve learned while building J.A.R.V.I.S is that ambitious systems aren’t created overnight.

They evolve.

First came memory through LanceDB.
Then desktop screen understanding.
Then workflow automation.
Then GitHub as historical knowledge.

Now…

Nextcloud becomes the next piece of the puzzle. Each integration may look small individually. Together, they’re gradually becoming a connected ecosystem.

AI Should Help Us Rediscover Our Own Knowledge

One principle continues to guide this project:

AI shouldn’t replace our knowledge. It should help us rediscover it.

The value isn’t in asking AI random questions from the internet. The value is enabling AI to understand your own experience.

Your own documents.
Your own projects.
Your own lessons learned.
Your own journey.
Your own server.

That’s where I believe personal AI becomes truly meaningful.

What’s Next?

The integration is complete.
Now the real work begins.

Over the coming weeks, I’ll be exploring how J.A.R.V.I.S can:

• Analyze documents stored in Nextcloud.
• Connect related knowledge across projects.
• Generate summaries and insights.
• Answer questions using my own documentation.
• Build relationships between years of accumulated experience.
• Transform a document repository into a living knowledge hub.

I’m excited to see where this journey leads. Not because I’m trying to build another chatbot… But because I’m trying to build an AI companion that grows alongside me. One integration at a time.

“Knowledge isn’t valuable because it’s stored. It’s valuable because it can be discovered, connected, and shared with others when it matters most.”

— Dedy Irawan

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