Inspiration

We wanted to make AI-powered personal operating systems accessible to everyone—even those with very limited hardware. Most AI OS solutions demand high compute and expensive APIs. Our goal: full AI-automation with 2GB RAM and $0 monthly cost.

What It Does

  • Execute natural language commands: "Open WhatsApp and call Kartik", "Create a Python project", "Schedule a meeting tomorrow"
  • Manage files, launch apps, and monitor processes
  • Automate communications (WhatsApp, email, SMS, social media)
  • Seamlessly integrate with VS Code, Git, and developer workflows
  • Perform AI-powered reasoning and automation using Hugging Face free-tier APIs

How We Built It

We designed a modular MCP (Model Context Protocol) architecture, with a central orchestrator and multiple lightweight MCP servers for system ops, communication, browser automation, IDE integration, and AI execution.
Everything is optimized for 2GB RAM using:

  • Lightweight Docker containers
  • Lazy-loading MCP servers
  • Free-tier API optimization (request batching, caching, fallback routing)

Challenges

  • Running advanced AI reasoning on just 2GB RAM
  • Managing Hugging Face free-tier limits (solved with smart routing + caching)
  • Sandboxing Python execution securely in Docker
  • Optimizing memory across multiple servers without crashes

Accomplishments

  • Fully functional AI OS running on 2GB laptops and cloud VMs
  • $0 monthly cost with Hugging Face, Groq, and Gemini free APIs
  • Successfully executed 50+ natural language commands in testing
  • Built web dashboard + CLI for easy user interaction

What We Learned

  • Efficient API routing and memory management
  • Building modular AI microservices with MCP
  • Designing for extreme hardware constraints without compromising features

What’s Next

  • Expanding marketplace for plug-and-play MCP servers
  • More advanced multi-step planning and error recovery
  • Production deployment with Kubernetes for teams
  • Community-driven extensions and plugins

Built With

  • docker
  • docker-api-databases/tools:-git
  • fastmcp
  • gmail-api
  • google-gemini-free-tier-apis:-hugging-face-gpt-oss
  • groq-free-tier
  • kubernetes
  • languages:-python
  • node.js
  • notion-api
  • react
  • slack-api
  • tauri-cloud-services:-hugging-face-inference-api
  • typescript-frameworks:-fastapi
  • vs-code-integration
  • whatsapp-web-(selenium)
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