AgentIndex icon
AgentIndex
arbor logo
arbor
★ 161
vs
code-graph-rag logo
code-graph-rag
★ 5.3k

arbor vs code-graph-rag

arbor: Arbor builds a semantic dependency graph for codebases, enabling deterministic impact analysis, symbol resolution, and git-aware risk gating. It provides a CLI, GUI, and MCP integration to help developers understand and control the consequences of changes before they happen.; code-graph-rag: Code-Graph-RAG is an accurate Retrieval-Augmented Generation (RAG) system designed for multi-language codebases. It uses Tree-sitter to analyze code, build comprehensive knowledge graphs, and allows natural language querying of codebase structure and relationships. The system also includes advanced editing capabilities, enabling users to modify code directly through natural language prompts.

01

TL;DR

arbor logo
arborRAG / Knowledge Base · ★ 161

Impact analysis before refactoring

Read arbor full review →
code-graph-rag logo
code-graph-ragRAG / Knowledge Base · ★ 5.3k
When to choose:
  • You want to parse a multi-language monorepo with Tree-sitter into a Memgraph knowledge graph and query or edit it via natural language or Claude Code MCP.
  • You want semantic code search using UniXcoder embeddings paired with Cypher graph queries.
When to skip:
  • You want RAG over PDFs, Word files, and slides rather than source code repositories; use RAGFlow or MaxKB.
  • You want a zero-dependency code context MCP server without running Docker and Memgraph; jCodeMunch or Context7 are much lighter.
Read code-graph-rag full review →
02

Side-by-Side Comparison

Field
arbor logoarbor
code-graph-rag logocode-graph-rag
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 161
★ 5.3k
License
MIT
MIT
Install Command
cargo install arbor-graph-cli
git clone https://github.com/vitali87/code-graph-rag.git && cd code-graph-rag && uv sync --extra treesitter-full && cp .env.example .env && docker-compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-tools, ast, code-analysis
ai, ast, claude-code
03

Features

arbor logoarbor
01Blast radius analysis
02Graph-backed symbol resolution
03Unified tooling (CLI + GUI + MCP)
04Git-aware risk gating
05Lightning fast incremental indexing
code-graph-rag logocode-graph-rag
01Multi-Language Support
02Tree-sitter Parsing
03Knowledge Graph Storage
04Natural Language Querying
05Advanced File Editing
04

Use Cases

arbor logoarbor
↳Impact analysis before refactoring
↳Change risk assessment in CI/CD
↳Exploring codebase architecture intuitively
code-graph-rag logocode-graph-rag
↳Analyze and ingest multi-language codebases into a knowledge graph.
↳Query codebase structure and relationships using natural language.
↳Receive AI-powered optimization suggestions and perform surgical code edits.
FAQ

FAQ

What is the difference between arbor and code-graph-rag?
Both arbor and code-graph-rag are in the RAG / Knowledge Base category. arbor has 161 stars, while code-graph-rag has 5.3k stars.
Which is better, arbor or code-graph-rag?
The best choice depends on your use case. Choose arbor if Impact analysis before refactoring, and code-graph-rag if Analyze and ingest multi-language codebases into a knowledge graph..
Is arbor free or open source?
Yes, arbor is open source on GitHub (MIT).
Is code-graph-rag free or open source?
Yes, code-graph-rag is open source on GitHub (MIT).
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Related

Alternatives to arbor →Alternatives to code-graph-rag →arbor details →code-graph-rag details →