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Code-Graph-RAG

code-graph-rag.com·Infrastructure

Code-Graph-RAG is an open-source tool designed for AI-powered analysis and understanding of codebases across multiple programming languages. It builds comprehensive knowledge graphs from code using Tree-sitter-based parsing, enabling users to visualize and explore code structures such as functions, classes, modules, imports, and call relationships. The platform is aimed at developers and teams seeking advanced codebase intelligence, optimization, and compliance mapping.

A key feature of Code-Graph-RAG is its ability to parse code in 12 languages—including Python, TypeScript, JavaScript, Rust, Java, C, C++, Lua, C, Go, PHP, and Scala—using a unified graph schema for consistent querying. The tool stores these interconnected graphs in Memgraph and allows users to query, edit, and optimize code using natural language. AI translates plain English questions into precise Cypher graph queries, enabling tasks such as identifying authentication functions or searching for specific code patterns. The platform also supports AI-driven code editing, with AST-based targeting for function modifications, visual diff previews, and exact code block replacements. Optimization workflows are enhanced by language-specific best practices and interactive approval processes.

Code-Graph-RAG integrates with Claude Code as an MCP server, providing ten tools for querying, editing, searching, and optimizing codebases directly from the IDE. These tools cover tasks such as retrieving function code, replacing code, exporting graph data, semantic search, and executing shell commands. The system also allows for the definition of custom knowledge graph relationships, supporting advanced use cases like compliance traceability, data lineage, security classification, team ownership, and cost attribution.

Deployment options include fully managed cloud-hosted solutions, on-premise installations, and air-gapped environments for regulated industries. The open-source community edition is free to use, while enterprise offerings provide dedicated support, consulting, custom development, technical support contracts, integration consulting, and training services. Code-Graph-RAG positions itself as a comprehensive toolkit for codebase analysis, intelligence, and optimization, with extensibility for organizational and compliance needs.

Open SourceMITCLISelf-hosted
CCode-Graph-RAG preview
Visit code-graph-rag.com↗
2.3kstars
379forks
6features
2025since

Overview

6 features

Code-Graph-RAG sits in PulseGate's AI category. It focuses on understanding and optimizing large, multi-language codebases using AI-powered knowledge graphs and natural language queries. Code-Graph-RAG is an open-source project aimed at software developers and engineering teams managing complex codebases. The project is open source (MIT). It runs on the command line, and it can be self-hosted.

Code-Graph-RAG first shipped in 2025. Development happens publicly on GitHub with 2.3k stars and 251 commits in the last 90 days. Among its 6 catalogued features are knowledge graph generation, multi-language parsing, and natural language queries. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

  • ✓Knowledge graph generation
  • ✓Multi-language parsing
  • ✓Natural language queries
  • ✓AI code editing
  • ✓Code optimization
  • ✓AST-based analysis
Tags
codebase-analysisknowledge-graphtree-sitterai-code-editingast-parsing
AI capabilities
CodeStructuredText
Inference: LocalWeights: Open

Built with & integrations

Framework
Next.js
Connectors
MCP
Runs on
CLISelf-hosted
Detected from
Next.js
x-nextjs-cache header · x-nextjs-prerender header · x-powered-by header

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 2.3k✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed26 Jun · 23:51 UTC
    Listing verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Code-Graph-RAG

What is Code-Graph-RAG?
Code-Graph-RAG focuses on understanding and optimizing large, multi-language codebases using AI-powered knowledge graphs and natural language queries. It is catalogued under AI on PulseGate.
Who is Code-Graph-RAG for?
Code-Graph-RAG is an open-source project built for software developers and engineering teams managing complex codebases.
Does Code-Graph-RAG have a free plan?
Yes — Code-Graph-RAG is open source under the MIT license and free to use.
What platforms does Code-Graph-RAG run on?
Code-Graph-RAG runs on the command line. It can also be self-hosted.
Is Code-Graph-RAG still maintained?
The GitHub repository shows 251 commits in the last 90 days.
What projects are similar to Code-Graph-RAG?
Similar projects tracked by PulseGate include CodeRAG, rag-reviewer, and code-review-graph.CodeRAGrag-reviewercode-review-graph
When did Code-Graph-RAG launch?
Code-Graph-RAG first shipped in 2025.
Is Code-Graph-RAG open source?
Yes — Code-Graph-RAG is open source under the MIT license, developed on GitHub.

At a glance

Pricing
Open Source
Platforms
Cli
Languages
English
Open source
Yes · ★ 2.3k
License
MIT
Built for
Software developers and engineering teams managing complex codebases
Model
Open source
Solves
Understanding and optimizing large, multi-language codebases using AI-powered knowledge graphs and natural language queries.

Registered as

GitHub
vitali87/code-graph-rag

Developer

Vitali87
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
2,274
Forks
379
Open issues
48
Last commit
25 Jun 2026
Commits 90d
251
Contributors
40
Authorship
Community-driven
Default branch
main
Latest release
v0.0.148 · 22 Mar 2026

Index record

Identity confidence
High · 94.4
Indexed
26 Jun 2026
Lifecycle
Alive
Last seen
26 Jun 2026
Identity audit (12)
Slug
code-graph-rag-ai-powered-codebase-analysis-code-graph-rag-com
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
26 Jun 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Canonical URL
https://code-graph-rag.com/

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