A lightweight, vendor-neutral semantic layer for portable organizational knowledge.
Project description
OpenOntologyLite
OpenOntologyLite makes organizational meaning portable across AI models, agent frameworks, databases, and vendors.
Status
Ready for public alpha release preparation with documented limitations.
Alpha Warning
OpenOntologyLite is 0.1.0a2 alpha software. The format may evolve before stable 1.0, and diff classifications are conservative rule-based guidance rather than legal, operational, or authorization guarantees.
Why It Exists
Organizations increasingly describe their work inside AI systems, agent frameworks, RAG stores, policy engines, and vendor platforms. OpenOntologyLite asks a practical question: can an organization move operational knowledge between systems without rebuilding the meaning of its business?
Core Capabilities
- YAML and JSON ontology loading with safe parsers.
- Typed entities, properties, relationships, actions, permissions, and preconditions.
- Structural and semantic validation with stable machine-readable codes.
- Deterministic canonical JSON and SHA-256 digest generation.
- Cycle analysis for relationships and reference properties.
- JSON Schema 2020-12, Mermaid, Markdown documentation, inspection, and diff exports.
- Local-first operation with no telemetry, network calls, database, server, cloud account, or AI model requirement.
Installation
python -m pip install openontologylite
For development:
python -m pip install -e ".[dev]"
Quick Start
openontology validate examples/customer_support.yaml
openontology inspect examples/customer_support.yaml
openontology digest examples/customer_support.yaml
openontology export-json-schema examples/customer_support.yaml --output build/customer-support.schema.json
openontology export-mermaid examples/customer_support.yaml --output build/customer-support.mmd
openontology docs examples/customer_support.yaml --output build/customer-support.md
Example Ontology
schema_version: "1.0"
ontology:
id: customer-service
name: Customer Service Ontology
version: "1.0.0"
namespace: example.customer_service
entities:
Customer:
properties:
customer_id:
type: string
required: true
account_status:
type: string
required: true
enum: [active, suspended, closed]
Python API
from open_ontology_lite import load_ontology, validate_ontology, ontology_digest
ontology = load_ontology("examples/customer_support.yaml")
report = validate_ontology(ontology)
print(report.ok)
print(ontology_digest(ontology))
Validation Example
Validation returns stable codes, messages, logical paths, suggestions, and context. Strict permission validation is the default; undeclared permissions fail unless non-strict mode is requested.
openontology validate tests/fixtures/invalid/undeclared_permission.yaml --json
Diff Example
openontology diff tests/fixtures/diff/customer-support-v1.yaml tests/fixtures/diff/customer-support-v2.yaml
Diff exit behavior:
0: no breaking changes detected;1: breaking changes detected;2: invalid input or execution error.
JSON Schema Export
OpenOntologyLite exports deterministic JSON Schema 2020-12 documents. Some ontology semantics, such as actions, permissions, and relationship intent, are lossy in JSON Schema and are documented rather than represented as perfect round-trip data.
Mermaid Export
The Mermaid command emits source text only. It does not require Mermaid to be installed.
Ecosystem Position
OpenOntologyLite is designed to stand alone in the 0.1.0 alpha line while remaining friendly to later integrations with Forge, PrivateAIStack, ModelSwapBench, AgentPolicyPack, AIAuditLog, and OpenAIMeter.
Security Model
Ontology files are untrusted input. The package uses safe YAML loading, file-size, parsed-node, and nesting limits, non-executing preconditions, deterministic serialization, and escaping for Markdown and Mermaid outputs. CLI export commands validate ontologies before generating derived artifacts. OpenOntologyLite does not resolve remote schema references or execute expressions.
Limitations
- No full RDF or OWL compatibility.
- No SPARQL.
- No general-purpose inference engine.
- No database synchronization.
- No graphical editor.
- No action execution.
- No authorization enforcement.
- Preconditions are declarative text only.
- No remote schema resolution.
- No hosted service.
- Diff classification is rule-based and conservative.
- JSON Schema export may be lossy for ontology-specific semantics.
- Relationship cycles are reported but not automatically invalid.
- Format may evolve before stable 1.0.
Roadmap
Current alpha, 0.1.0a2:
- Added aliases for entities, properties, relationships, and actions.
- Added alias validation with stable validation codes.
- Added rename-aware diffing for alias-backed entity, relationship, and action renames.
- Added migration suggestions in diff output.
- Hardened CLI exports so invalid ontologies are rejected before JSON Schema, Mermaid, or Markdown generation.
- Improved loader resilience with iterative depth checking, parsed-node limits, and safer file error handling.
- Improved JSON Schema export for nullable references and deterministic Decimal serialization.
Next alpha, 0.1.0a3:
- Additional exporters.
- Stronger resource-limit configuration.
- More detailed migration hints.
- Forge adapter.
- ModelSwapBench fixtures.
- PrivateAIStack RAG metadata.
- Policy hooks for AgentPolicyPack.
Later, 0.2:
- Optional SQLite catalog.
- Ontology package imports.
- Modular namespaces.
- Signed manifests.
- Provenance metadata.
Contributing
See CONTRIBUTING.md. Run Ruff, mypy strict, pytest with branch coverage, Bandit, pip-audit, build, and Twine check before release preparation.
License
MIT.
Author
sekacorn
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