LibreAI / RAG & Knowledge / ontosphere
// rag · ThHanke/ontosphere

ontosphere

Edit RDF knowledge graphs in your browser — no backend needed.

💎 Hidden gem★ 247 stars⑂ 30 forksNOASSERTIONupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ontosphere is an open-source rag & knowledge project by ThHanke (ThHanke/ontosphere on GitHub). It has 247 GitHub stars and 30 forks, is released under the NOASSERTION license, and was last updated on GitHub on 24 September 2026.

GitHub stars
247
Forks
30
License
NOASSERTION
Last updated on GitHub
24 September 2026
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

MCP-ready

Exposes its capabilities to AI agents over the Model Context Protocol.

Knowledge graph

Structures information as a queryable graph.

Import friendly

Bring notes from Obsidian, Notion, and more.

Open source

Own your second brain completely.

Hybrid search

Combines keyword and semantic retrieval.

Knowledge graphs

Connects notes into a queryable graph.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/ThHanke/ontosphere.git
    cd ontosphere
  2. Step 2 — Install dependencies

    Pull in the Node packages the project needs.

    npm install
  3. Step 3 — Run it

    Start the dev server and open the printed URL.

    npm run dev
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains ontosphere?

It is an open-source project at ThHanke/ontosphere with 30 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is ontosphere free to use?

GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.

Where is my data stored?

Locally or on your own server, depending on how you deploy it.

Which LLMs can it use?

Most support OpenAI, Anthropic, Ollama, and other providers via config.

Can AI agents query it?

Yes — MCP support lets agents search your knowledge base directly.

// keep exploring

Similar tools

RAG & Knowledge

second-brain-os

A self-maintaining AI second brain for Obsidian and Claude Code.

★ 888 starsMIT
View guide →
RAG & Knowledge

docsmint

An open-source knowledge base for people and AI agents.

★ 118 starsApache-2.0
View guide →
RAG & Knowledge

omnigram

A Flutter e-reader and audiobook app with AI chat.

★ 75 starsCustom
View guide →
RAG & Knowledge

code-graph-rag

RAG for your monorepo: query, understand and edit multi-language codebases with a knowledge graph.

★ 5.2k starsMIT
View guide →
RAG & Knowledge

llm-graph-builder

Build Neo4j knowledge graphs from unstructured data using LLMs — then chat with your graph.

★ 5.3k starsApache-2.0
View guide →
RAG & Knowledge

QAnything

Local knowledge-base Q&A over PDFs, Office files, images and web pages - offline and CPU-friendly.

★ 14.2k starsAGPL-3.0
View guide →
// alternatives

Alternatives in RAG & Knowledge

The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if ontosphere is not the right fit.

Get ontosphere

Free and open — grab the source, star the repo, and start creating.