AI OS Use Cases

The open-source Agent Operating System adapts to your workflow. Here are some of the ways it can be used.

Personal AI Assistant

Your own intelligent assistant with memory

Replace generic AI chat interfaces with a personalized assistant that remembers your context, preferences, and project details across sessions.

  • Persistent memory across chat sessions — never re-explain context
  • Multi-provider support — use the best model for each task
  • Tool integration — read files, search web, execute code
  • Sandboxed code execution for data analysis and automation
terminal
$ cortex cortex chat --model claude-sonnet-4-5

Research & Analysis

AI-powered research workflows

Accelerate research with web search integration, code execution, and persistent knowledge storage. Perfect for competitive analysis, literature review, and data exploration.

  • Web search via DuckDuckGo for real-time information
  • Python sandbox for data analysis and visualization
  • Semantic memory for building a personal knowledge base
  • Session history for revisiting past research
terminal
$ cortex cortex memory add 'Research findings: market size is $5B'

Development & Debugging

Code-first AI assistance

An AI pair programmer that can read your codebase, execute and debug code in sandboxed environments, and remember your project context.

  • File read tool for examining your codebase
  • Code execution in 7+ languages with sandbox isolation
  • Auto-fix loop for automated bug fixing
  • Shell command execution with approval gates
terminal
$ cortex cortex run script.py --fix

CI/CD & Automation

Scheduled and automated agent tasks

Set up automated workflows with scheduled jobs, daemon background processing, and policy-controlled automation. Ideal for monitoring, reporting, and maintenance tasks.

  • CRON-based job scheduling for recurring tasks
  • Daemon mode for persistent background processing
  • Policy engine for safe automation
  • Full audit trail via Cortex Lens
terminal
$ cortex cortex jobs add weekly-report 'generate-report' --cron '0 9 * * 1'

Knowledge Management

Build and query a personal knowledge base

Use the 5-tier memory system to store, retrieve, and consolidate information. Perfect for teams maintaining shared context or individuals building second brains.

  • 5-tier memory with hybrid FTS5 + vector search
  • Episodic memory of past conversations
  • Semantic memory for facts and knowledge
  • Reflection patterns for meta-learning
terminal
$ cortex cortex memory search 'deployment configuration'

Secure Agent Deployments

Enterprise-grade security for agent operations

Deploy AI agents with confidence using the Parallax + LLM supervisor security model, encrypted credential vault, DLP Guard, and granular policy controls.

  • 3-stage tool validation gate + LLM security supervisor
  • AES-256-GCM encrypted credential vault with PBKDF2
  • DLP Guard with 22 scanners for data loss prevention
  • Comprehensive audit logging in Cortex Lens
terminal
$ cortex cortex policy add 'rm.*-rf.*/' --kind shell --effect deny

Voice-Enabled Agent

Hands-free AI interaction

Interact with your AI agent using natural speech. Full voice pipeline with speech-to-text, text-to-speech, and voice activity detection for seamless conversation.

  • Speech-to-text via OpenAI Whisper for natural input
  • Text-to-speech with OpenAI TTS or ElevenLabs voices
  • Energy-based VAD for automatic turn detection
  • Real-time audio streaming over WebSocket
terminal
$ cortex cortex voice enable

GUI Automation & Computer Use

Automate desktop applications

Use CortexPrism to automate GUI applications, fill forms, scrape visual data, and control desktop environments. Perfect for legacy system integration and RPA workflows.

  • Virtual display automation via Xvfb
  • Mouse and keyboard control with coordinate precision
  • Screenshot capture and visual analysis
  • Docker-isolated or native desktop runtime
terminal
$ cortex cortex desktop screenshot

Codebase Intelligence

Understand and navigate large codebases

Index your entire codebase with tree-sitter WASM parsing across 40+ languages. Navigate call graphs, trace execution paths, and analyze impact of changes.

  • Multi-language parsing: TS, JS, Python, Go, Rust, Java, Kotlin, C, C++, C#, Ruby, PHP, Swift, Scala, Lua, Bash, SQL, and more
  • Call graph resolution with cross-file import analysis
  • Visual dependency graphs via D3.js in the Web UI
  • Impact analysis and path tracing for change management
terminal
$ cortex cortex serve && open http://127.0.0.1:3000/codegraph