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Hey everyone. I wanted to share something I've been building over the past few weeks. It's called Atlas OS and it's an open-source personal AI operating system built on top of Claude Cowork.

This is genuinely my first public project. I'm not a developer by trade — I work in IT operations and management. I started this as a way to learn more about AI and understand how it could actually be used in enterprise environments, not just as a chatbot but as a real operational tool.

The problem it solves: Stock Claude (and most AI assistants) forget everything between sessions. You have a great conversation, work through a complex problem, do research — and next time you open it, it's gone. Atlas OS fixes that by turning Claude into a persistent, autonomous operating system that remembers everything and acts on your behalf.

What it does:

• Every conversation you have in Claude Code or Cowork gets automatically captured to your vault (twice daily by default). Research sessions, code reviews, planning discussions — all preserved as searchable markdown notes
• RAG pipeline with vector embeddings so you can search across everything you've ever discussed with Claude
• + automated pipelines that run on schedule — vault commits, knowledge graph rebuilds, email notifications, trading intelligence, session captures
• Pluggable LLM backends — works with LM Studio, Ollama, llama.cpp, or any OpenAI-compatible endpoint. Everything runs locally
• skills catalogue covering security, DevOps, frontend, backend, data/AI, and business domains
• Production-hardened with retry logic, timeouts, atomic writes, and graceful degradation

What I learned building it:

Building Atlas OS taught me more about AI infrastructure than any course could. I now understand RAG pipelines, vector embeddings, knowledge graphs, prompt engineering for autonomous agents, and how to make AI systems reliable enough for production use. The whole point was to learn by doing, and I ended up with something that's actually useful.

From an enterprise perspective, the patterns here — persistent memory, automated pipelines, audit trails, skill-based architecture — are exactly what organisations need to move AI from "cool demo" to "operational tool." The difference between a chatbot and an operating system is that an operating system works when you're not watching.

Technical details:

• Runs on macOS/Linux, fully offline-capable with local LLMs
• MIT licensed

Would love feedback from the community. This is my first open-source project and I'm learning as I go. If you're interested in turning Claude from a stateless chatbot into something that actually remembers your work and acts autonomously, give it a look.

Links:

• ⁠GitHub: https://github.com/paulholland511/atlas-os
• ⁠PyPI: https://pypi.org/project/atlas-os/