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GitHub – elliot35/deterministic-agent-control-protocol: Comprehensive Governance Framework for AI Agents – Bounded, Auditable, and Session-Aware Control via MCP Proxy, Shell Proxy, and HTTP API for Cursor, Claude Code, Codex, and MCP-Compatible Agents

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Unlocking Governance in AI: Ensuring Safe and Responsible Actions

In a rapidly evolving AI landscape, governance is paramount. Introducing a governance gateway that ensures AI agents operate within defined, secure boundaries, making every action:

  • Bounded: Execute only allowed actions within designated scopes.
  • Auditable: Log every action in a tamper-evident ledger.
  • Reversible: Easily undo actions if necessary.
  • Explainable: Understand the reasoning behind every decision.

Key Features:

  • Policy Enforcement: Enable governance rules seamlessly through Cursor and other compatible agents.
  • Real-time Blocking: Instantly prevent unauthorized access attempts, such as secret or credential scanning.
  • Flexibility: Supports shell commands and provides an HTTP API for diverse integrations.

This is more than just security; it’s about instilling trust and transparency in AI operations.

💡 Join the conversation! Share your thoughts on the future of AI governance in the comments below! 🚀

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