@thisdudelikesAI ↔ @samvfolo ↔ @allbase_ai conversation
Ryan Hart@thisdudelikesAI
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Jul 19, 2026
~1 min read
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Ryan Hart@thisdudelikesAI
Microsoft has released an open-source tool that helps teams learn ontology design before choosing a knowledge graph platform.
It is called Ontology Playground.
The project is a fully static React app, which means it does not need a backend, account system, database, or hosted service to run.
The goal is simple:
Help people understand what goes inside a graph before they buy or build the graph database.
Ontology Playground includes six pre-built domain ontologies:
→ Retail
→ Healthcare
→ Finance
→ Manufacturing
→ E-Commerce
→ Education
Each one gives users a starting point for understanding entities, relationships, properties, and how domain knowledge gets structured.
The app also includes a live visual designer, structured learning paths, hands-on labs, and RDF/XML export for Fabric IQ.
Because it is static, it can be deployed almost anywhere.
No backend.
No vendor lock-in.
No platform commitment upfront.
This matters because many teams jump into knowledge graphs too early.
They focus on the database first.
But the harder question is usually:
What should the graph actually know?
Ontology Playground teaches that layer first.
It is called Ontology Playground.
The project is a fully static React app, which means it does not need a backend, account system, database, or hosted service to run.
The goal is simple:
Help people understand what goes inside a graph before they buy or build the graph database.
Ontology Playground includes six pre-built domain ontologies:
→ Retail
→ Healthcare
→ Finance
→ Manufacturing
→ E-Commerce
→ Education
Each one gives users a starting point for understanding entities, relationships, properties, and how domain knowledge gets structured.
The app also includes a live visual designer, structured learning paths, hands-on labs, and RDF/XML export for Fabric IQ.
Because it is static, it can be deployed almost anywhere.
No backend.
No vendor lock-in.
No platform commitment upfront.
This matters because many teams jump into knowledge graphs too early.
They focus on the database first.
But the harder question is usually:
What should the graph actually know?
Ontology Playground teaches that layer first.
0:25
Sam Folorunsho@samvfolo
It's happening
I predict memory systems as an engineering specialty complementary to harness engineering next year
I predict memory systems as an engineering specialty complementary to harness engineering next year
allbase.ai@allbase_ai
We're betting on this as well.
I want all of my agents across all systems to have access to the same memories and knowledge.
I want all of my agents across all systems to have access to the same memories and knowledge.
