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CTRLRun/ctrlrun

by Various

The execution safety layer for AI agents.

MCP

CTRLRun/ctrlrun

Added 16 Sept 2026

#agent-control-standard #agent-security #agentic-ai #ai-agents #ai-safety #audit-log #human-in-the-loop #langgraph

Overview

CTRLRun/ctrlrun is an open-source Python library positioned as an execution safety layer for AI agents. It aims to wrap agent actions with controls that prevent unsafe operations during automated runs. The project is in an early stage with minimal public adoption.

Best for

Best for
Developers prototyping safety controls for Python-based AI agents.

Use cases

  • Add a safety boundary around AI agent tool execution
  • Enforce guardrails on autonomous agent actions
  • Integrate execution monitoring into Python-based agent pipelines

How to use

Install

pip install ctrlrun && ctrlrun demo

Tested with

Cursor, ChatGPT

Notes

CTRLRun/ctrlrun is an open-source Python library positioned as an execution safety layer for AI agents. It aims to wrap agent actions with controls that prevent unsafe operations during automated runs. The project is in an early stage with minimal public adoption.

22 stars on GitHub. Last updated 2026-09-16. Licensed Apache-2.0.

Use cases

  • Add a safety boundary around AI agent tool execution
  • Enforce guardrails on autonomous agent actions
  • Integrate execution monitoring into Python-based agent pipelines

Pros

  • Focused on a critical need: safe execution of AI agents
  • Open source and Python-native for easy integration
  • Small codebase that is quick to review

Cons

  • Very early stage with only 22 GitHub stars
  • Limited community and documentation
  • Unproven in production environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Focused on a critical need: safe execution of AI agents
  • Open source and Python-native for easy integration
  • Small codebase that is quick to review

Cons

  • Very early stage with only 22 GitHub stars
  • Limited community and documentation
  • Unproven in production environments
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