Open Ontology

Open Ontology

Custom AI agents that actually follow rules

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Open Ontology is a platform for building AI agents that follow strict rules. Instead of unpredictable behavior, agents use ontologies as permission systems that define what they can do, what they cannot do, and when they must ask for approval. You create or choose an ontology, build an agent, export it to browser, desktop, or Python, and connect real services safely. Built for auditable, controllable AI workflows.
Open Ontology  gallery image
Open Ontology  gallery image
Open Ontology  gallery image
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Jimmy Rice
Maker
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What is Open Ontology? Open Ontology is a platform for building AI agents that actually follow rules. The Problem Most AI agents are unpredictable. You tell them what to do, but you can't really control how they do it or what they're allowed to access. That's risky for anything serious, banking, customer service, security, billing. The Solution Open Ontology uses ontologies as rule books for AI agents. Think of it like a permission system: What the agent CAN do What it CANNOT do What it must ASK before doing How It Works Step 1: Create or Choose an Ontology Pick a pre-built ontology from the Library (Banking, Email, Security, etc.) or generate a custom one by typing any topic. The system creates a complete set of permissions and capabilities specific to that domain. Step 2: Build Your Agent Click "Build Agent" to package your ontology into a working agent. The agent includes: Permission rules: exactly what actions it can perform Capability definitions: how it connects to services (email, databases, APIs) Escalation policies: when it must ask for human approval Step 3: Export & Run Download your agent in any format: Browser Agent: runs in any web browser, works offline Browser + Cloud LLM: browser agent with AI decision-making via cloud API Python Agent: scripts with full plugin system for developers Desktop EXE: standalone executable for Windows/Mac/Linux Step 4: Connect Services The agent can connect to real services (email, calendars, databases, APIs) but ONLY performs actions allowed by its ontology. Unauthorized actions are blocked or require approval. Why It's Special Governance-first: Every action is defined and auditable Portable: Agents work in browsers, desktops, or servers AI-optional: The rules run even without AI—AI just helps with decisions User-friendly: No coding required to browse, generate, or download agents Who It's For Teams that need auditable, controllable AI workflows Developers building agents with clear permission boundaries Anyone who wants AI that follows rules instead of making them up