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ontosphere
ontosphere logo

ontosphere

Active·★ 253·NOASSERTION·Updated 2026-10-16

Ontosphere is a browser-based RDF/ontology knowledge graph editor that loads RDF from files, URLs, or SPARQL endpoints, allows users to author nodes and edges on a canvas, runs OWL 2 DL reasoning with visual differentiation of inferred triples, and supports multi-algorithm layout and AI-agent integration via the Model Context Protocol.

ontosphere sits in the Browser Automation category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Load RDF/Turtle/JSON-LD/RDF-XML/N-Triples from local files or remote URLs. A representative use case is Building and maintaining knowledge graphs. The listed license is NOASSERTION. GitHub stars are currently 252. Relevant tags include fair-data, graph-editor.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#fair-data#graph-editor#json-ld#knowledge-graph#linked-data#mcp#mcp-servers#model-context-protocol
$ Install
$ npm install && npm run dev
↗ Visit site★ GitHub
01

Features

01Load RDF/Turtle/JSON-LD/RDF-XML/N-Triples from local files or remote URLs
02Author nodes and edges directly on the canvas with undo/redo
03Multi-algorithm layout (Dagre, ELK) with automatic clustering
04OWL 2 DL reasoning via Konclude with visual inferred triples
05Model Context Protocol (MCP) server for AI-agent integration
02

Why choose it

+Load RDF/Turtle/JSON-LD/RDF-XML/N-Triples from local files or remote URLs
+Author nodes and edges directly on the canvas with undo/redo
+Building and maintaining knowledge graphs
+Supports 4 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Chrome
Chrome
Verified via docs
Firefox
Firefox
Verified via docs
Safari
Safari
Verified via docs
Edge
Edge
Verified via docs
05

Quick start

1
$ npm install
2
$ npm run dev
06

Use cases

↳Building and maintaining knowledge graphs
↳Ontology reasoning and validation
↳AI-driven graph construction and editing
07

Alternatives

⚡Top VS:
VSopen-ontologies★1.2k→VSmcp-memory-libsql★87→VScompass★73→VSContextGraph★22→
open-ontologies logo
open-ontologies★ 1.2k
AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.
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🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
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compass★ 73
Compass is a context engine that builds a knowledge graph of your organization's metadata, capturing entities, relationships, and lineage across systems and time, making it discoverable and queryable for both humans and AI agents.
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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
ThHanke /
ontosphere
↗

Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clustering. AI-native via MCP tool surface and relay bridge. Fully client-side, no backend required.

253
Last commit1w ago
StatusActive
CategoryBrowser Automation
Links
Documentation↗Discussion↗Issues↗Releases↗
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