The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
⚡ Executive Summary & Quick Facts
Authoritative Sourcecode-graph-rag is code-graph-rag is an open-source project written in Python: The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), vitali87/code-graph-rag has accumulated 5,304 GitHub stars and 708 forks. It is written in Python, licensed under MIT, and ranks #2,826 globally. It is actively maintained with the latest commit recorded on Nov 1, 2026.”
| Repository | vitali87/code-graph-rag ↗ |
|---|---|
| Primary Category | ai |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 5.3K stars · ⑂ 708 forks · #2,826 globally |
| Maintenance | ● Active (Last commit: Nov 1, 2026) · 527 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, code-graph-rag is actively maintained. Continuous telemetry recorded the last code commit on Nov 1, 2026 (12 days ago). Supported by 5,304 stars and 708 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (527 open).
Star History
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Momentum
+71
STARS · LAST 30 DAYS
2
PER DAY
#448
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +71 | +180 |
| Per day | 1 | 2 | 2 |
| Forks gained | +0 | +9 | +35 |
code-graph-rag gained 71 stars in the last 30 days, about 2 a day, and now has 5.3K. It is about 1 year old and has averaged roughly 5.3K stars a year. It ranks #448 among Python repositories and #2,826 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#725
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
code-graph-rag has maintained a continuous presence across global trending indexes, peaking at #725. Below is the 30-day activity profile:
💡 Overview
code-graph-rag is an open-source project written in Python: The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ast, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install code-graph-rag
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
code-graph-rag coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with code-graph-rag.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install code-graph-rag using your package manager: `pip install code-graph-rag`
Initialize your project workspace or configuration file for code-graph-rag.
Import code-graph-rag into your codebase or invoke it directly from your terminal.
Execute your test suite or run `code-graph-rag --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
vitali87/code-graph-rag is currently ranked #2,826 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #2,826 | vitali87/code-graph-rag This Project | Python | ★ 5.3K | |
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Frequently Asked Questions
What does code-graph-rag do? +
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Is code-graph-rag actively maintained in 2026? +
Yes, code-graph-rag is actively maintained. The latest code push was recorded on Nov 1, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 5,304 stars and 527 open issues.
What language is code-graph-rag written in? +
The primary language is Python. Topics include: ai, ast, claude-code, code-analysis, code-understanding.
How many stars does code-graph-rag have? +
code-graph-rag has 5,304 stars and 708 forks on GitHub.
How does code-graph-rag rank among GitHub repositories? +
With 5,304 stars, vitali87/code-graph-rag is ranked #2,826 globally across all repositories tracked on GitHubRepo and #448 among Python projects.
What license is code-graph-rag distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.