AgentIndex icon
AgentIndex
root-kg logo
root-kg
★ 16
vs
crg logo
crg
★ 76

root-kg vs crg

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.; crg: `crg` (formerly `better-code-review-graph`) is a local-first knowledge graph tool for codebases, enabling token-efficient code reviews through semantic search, call-graph resolution, and structural analysis. It integrates with AI agents via MCP for precise context provision, leveraging local ONNX embeddings or cloud models for enhanced code understanding and security scanning.

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.

Read root-kg full review →
crg logo
crgRAG / Knowledge Base · ★ 76

Performing token-efficient code reviews with precise context for AI agents

Read crg full review →
02

Side-by-Side Comparison

Field
root-kg logoroot-kg
crg logocrg
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 16
★ 76
License
MIT
Apache-2.0
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 better-code-review-graph
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Knowledge Graph, RAG, Semantic Search
Knowledge Graph, Code Review, Semantic Search
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.
crg logocrg
01AND-logic multi-word search for code entities
02Qualified call graph resolution and bare fallback
03Dual-mode fastretrieval ONNX and cloud embeddings (Jina/Gemini/OpenAI/Cohere)
04Paginated and truncated output for large search results
05Integrated security scanning with Semgrep and heuristic rules
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.
crg logocrg
↳Performing token-efficient code reviews with precise context for AI agents
↳Conducting semantic search and call-graph resolution across a codebase
↳Analyzing the blast radius and impact of changed files within a repository
↳Running local security scans on code using heuristic rules or Semgrep engine
↳Onboarding new repositories and quickly understanding code structure and relationships
FAQ

FAQ

What is the difference between root-kg and crg?
Both root-kg and crg are in the RAG / Knowledge Base category. root-kg has 16 stars, while crg has 76 stars.
Which is better, root-kg or crg?
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 crg if Performing token-efficient code reviews with precise context for AI agents.
Is root-kg free or open source?
Yes, root-kg is open source on GitHub (MIT).
Is crg free or open source?
Yes, crg is open source on GitHub (Apache-2.0).
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