root-kg logo
root-kg
★ 16
vs
mykg logo
mykg
★ 77

root-kg vs mykg

root-kg: ROOT is a local-first knowledge management system that connects your personal notes, meetings, and emails into a queryable intelligence layer. It builds an LLM-powered knowledge graph to provide cited, natural language answers to complex questions, outperforming traditional keyword search.; mykg: myKG automatically generates confidence-scored knowledge graphs from diverse document types, grounded in an induced RDFS/OWL ontology. It builds trustworthy knowledge graphs through a self-evolving ontology that adapts, maintains consistency, and assigns confidence scores to extracted knowledge.

01

TL;DR

root-kg logo
root-kgRAG / Knowledge Base · ★ 16

For Product Managers: Trace decision evolution, identify project stakeholders, and get briefs before 1:1 meetings.

mykg logo
mykgRAG / Knowledge Base · ★ 77

Converting websites, GitHub repositories, and personal notes into queryable knowledge graphs.

02

Side-by-Side Comparison

Field
root-kg logoroot-kg
mykg logomykg
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 16
★ 77
License
MIT
MIT
Install Command
git clone https://github.com/mshadmanrahman/root-kg.git && cd root-kg && python -m venv .venv && source .venv/bin/activate && pip install -e .
pip install mykg && mykg init
Updated
1w ago
2w ago
Open Source
Yes
Yes
Tags
Knowledge Graph, RAG, Semantic Search
Knowledge Graph, LLM, Ontology
03

Features

root-kg logoroot-kg
01LLM-powered entity and relation extraction to build a comprehensive knowledge graph.
02Multi-source data ingestion from Obsidian vaults, meeting notes, and emails.
03GraphRAG for synthesized, cited natural language answers, combining semantic search with graph traversal.
04Local-first architecture with low running costs, utilizing a single SQLite file for all data.
05Incremental indexing and extraction, only reprocessing changed notes for efficiency and cost savings.
mykg logomykg
01Schema-guided knowledge graph generation grounded in a formal RDFS/OWL schema.
02Supports mixed-format corpora including PDF, Word, HTML, and images, automatically converted to Markdown.
03Provides five output formats: JSONL, Turtle RDF, NetworkX, Obsidian vault, and Neo4j LOAD CSV.
04Enables incremental updates and schema growth by appending new or modified files to existing sessions.
05Integrates with AI coding assistants (e.g., Claude Code) by exporting an Obsidian vault as a 'second brain' for context.
04

Use Cases

root-kg logoroot-kg
↳For Product Managers: Trace decision evolution, identify project stakeholders, and get briefs before 1:1 meetings.
↳For Engineers: Understand system architecture, identify service dependencies, and find stale topics.
↳For Researchers & Writers: Discover patterns via clustering, identify knowledge gaps, and connect cross-domain links.
↳For Teams: Generate weekly activity summaries and perform project health checks across all sources.
mykg logomykg
↳Converting websites, GitHub repositories, and personal notes into queryable knowledge graphs.
↳Building a 'second brain' for AI coding assistants to ground answers and trace relationships in documents.
↳Creating an LLM-powered wiki from diverse documents for AI agents to reason over.
↳Facilitating human-in-the-loop ontology design and refinement through schema review gates.
FAQ

FAQ

What is the difference between root-kg and mykg?
Both root-kg and mykg are in the RAG / Knowledge Base category. root-kg has 16 stars, while mykg has 77 stars.
Which is better, root-kg or mykg?
The best choice depends on your use case. Choose root-kg if For Product Managers: Trace decision evolution, identify project stakeholders, and get briefs before 1:1 meetings., and mykg if Converting websites, GitHub repositories, and personal notes into queryable knowledge graphs..
Is root-kg free or open source?
Yes, root-kg is open source on GitHub (MIT).
Is mykg free or open source?
Yes, mykg is open source on GitHub (MIT).
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