Deterministic Agent Control Protocol FAQs

Question 1

What are the core principles guiding this protocol?

Accepted Answer

Its core principles are: Bounded (agents perform only allowed actions), Session-Aware (limits across interactions), Auditable (tamper-evident ledger), Reversible (compensation plans), and Explainable (full decision reporting).

Question 2

What is the Deterministic Agent Control Protocol?

Accepted Answer

It's a robust governance gateway for AI agents, designed to ensure that every agent action is bounded, auditable, reversible, and explainable through a powerful, policy-driven control plane.

Question 3

How are agent policies defined?

Accepted Answer

Policies are defined using intuitive YAML files, allowing developers to specify agent capabilities, operational limits, human approval gates for sensitive actions, and forbidden patterns for comprehensive control.

Question 4

Which AI agents and integration modes are supported?

Accepted Answer

It works transparently with popular agents like Cursor, Claude Code, and Codex via MCP Proxy. It also offers Shell Proxy for CLI tools, an HTTP API for language-agnostic integration, and a Library SDK for custom TypeScript agents.

Question 5

How does it ensure AI agent safety and compliance?

Accepted Answer

By evaluating every agent action against defined YAML policies, enforcing session-aware limits (budgets, rate limits), and requiring human approval for high-risk operations, it prevents unauthorized or unsafe behaviors.

Deterministic Agent Control Protocol

Deterministic Agent Control Protocol

Key Features

Use Cases

Key Features

Use Cases