run
v1.0.0The universal execution primitive for AI agents. A secure, sandboxed environment designed to compile, execute, and manage code, scripts, and automated workflows in real-time. The "hand" of the agent.
Installation
Run: The Execution Layer
Philosophy
Thinking without acting is hallucination. Acting without a secure environment is a risk. Run provides the standardized, sandboxed interface where an agent's plans become reality. It is the final step in the "Think-Plan-Execute" cycle.
Execution Engine Specs
EXECUTION_CORE = {
"runtime": "Polyglot support (Python, JS, Rust, Bash, SQL)",
"security": "Strict hardware-level sandboxing (gVisor/Firecracker)",
"state": "Ephemeral or Persistent session management",
"concurrency": "Parallel task execution with dependency resolution"
}
Core Primitives
FUNCTIONS = {
"execute": {
"scope": "Run arbitrary code snippets with auto-dependency injection",
"trigger": "Run this script"
},
"automate": {
"scope": "Long-running cron jobs and event-driven triggers",
"trigger": "Run this every Monday at 9AM"
},
"deploy": {
"scope": "Instant deployment of local logic to cloud-edge nodes",
"trigger": "Run this in production"
}
}
Safety & Governance
- Resource Capping: Prevents infinite loops and CPU/Memory exhaustion.
- Network Isolation: Blocks unauthorized outbound requests unless whitelisted.
- Human-in-the-loop: High-risk commands (e.g.,
rm -rf) require explicit biometric confirmation.
Use Cases
- Data Science: "Run a regression analysis on this CSV and output the chart."
- Web Scraping: "Run a scan of these 50 URLs and extract the pricing data."
- System Admin: "Run the cleanup script if disk usage exceeds 80%."