Semantic standard and interaction protocol for autonomous AI agents. Defining the language of intent and compliance 

Onto Protocol 💎

Onto Protocol is a standardized semantic layer designed to bridge the gap between human intent and autonomous AI execution. It provides a formal language for defining tasks, policies, and agent interactions.

🎯 Purpose

In an era of fragmented AI models, the Onto Protocol ensures that "meaning" remains consistent, regardless of which LLM or agent is executing the work. It is the core semantic engine of the Catalyst OS (CIOS) ecosystem.

🏗️ Core Entities (v0.1)

The protocol defines the following foundational entities:

• Intent: The high-level goal defined by the user.

• Task: A discrete, executable unit of work.

• Policy: Constraints and rules the agent must follow.

• Execution Trace: The verifiable path taken by an agent.

• Incident: Any deviation from policy or system failure (as analyzed in our Systemic Risk Analysis).

🎓 Citation

If you use this protocol or refer to its concepts, please cite it as:

Shaban, R. (2026). Onto Protocol: A Semantic Standard for Autonomous AI Agents. Zenodo. https://zenodo.org/records/19707375

🛠️ Coming Soon

• ontology.yaml: The machine-readable schema for agent orchestration.

• .onto file format specification.

• Cross-model semantic mapping guides.

Part of the Catalyst OS Ecosystem.

https://www.onto-compliance.org/ home page of the official website