AI Skill Market Insights

Real data. Real impact.

Popularity

Rising

Emerging

Active Users

0+

Developers

Time Saved

2+ hrs

Per week

Source

GitHub

Open source

Be Part of the 0+ Developer Community

Skills give you superpowers. Install in 30 seconds.

Ontology is a typed knowledge graph system for structured agent memory and composable skills. It enables agents to create, query, and manage entities — people, projects, tasks, events, documents, and more — with validated relationships between them, providing a persistent and queryable memory layer that goes far beyond simple key-value storage.

Key Features

16+ predefined entity types including Person, Project, Task, Event, Document, Message, Account, and Credential, each with specific required and optional properties
Schema-driven validation that enforces property requirements, enum restrictions, forbidden fields, cardinality rules, and acyclicity checks on every mutation
Append-only JSONL storage that preserves full history of all operations for audit trails and rollback capability
Graph traversal and dependency queries for navigating complex relationships between entities
Composable architecture designed to integrate with other skills that need structured, shared memory
Relationship linking with typed connections between entities, enabling rich knowledge graph construction

Use Cases

Managing project dependencies and task relationships across multi-step agent workflows
Building persistent contact and stakeholder databases that agents can query contextually
Tracking document lineage and version relationships in content-heavy projects
Creating structured memory stores that multiple skills can read from and write to

How It Works

Data is stored in

memory/ontology/graph.jsonl

as append-only operations, ensuring no information is ever lost. Users interact through Python CLI commands —

create

for adding entities,

query

for searching by type or properties,

relate

for linking entities, and

validate

for checking constraint compliance. YAML schema definitions enforce rules automatically, preventing issues like circular task dependencies or storing secrets inline.

Getting Started

Initialize the storage directory with

mkdir -p memory/ontology && touch memory/ontology/graph.jsonl

, then invoke Python commands directly. No external credentials or network access is required. The skill works entirely with local file-based storage under the MIT-0 license.

ontology

AI Skill Market Insights

Be Part of the 0+ Developer Community

Key Features

Use Cases

How It Works

Getting Started

Quick Start

Manual Installation

TEAR & SHARE

Channels

Learn

Compare

Company