---
title: "open-code-review"
type: "tool"
slug: "alibaba-open-code-review"
canonical_url: "https://www.graphcanon.com/tools/alibaba-open-code-review"
github_url: "https://github.com/alibaba/open-code-review"
homepage_url: "https://alibaba.github.io/open-code-review/"
stars: 10088
forks: 657
primary_language: "Go"
license: "Apache-2.0"
categories: ["llm-frameworks", "developer-tools"]
tags: ["agent-skills", "thread-safety", "sql-injection", "npe", "xss", "repository-level-context", "code-review-assistant"]
updated_at: "2026-07-07T18:34:29.275963+00:00"
---

# open-code-review

> Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments

Open-source and free code review tool with hybrid architecture allowing for both deterministic pipelines and agent-based reviews using LLMs. It supports multiple platforms and is compatible with OpenAI and Anthropic.

## Facts

- Repository: https://github.com/alibaba/open-code-review
- Homepage: https://alibaba.github.io/open-code-review/
- Stars: 10,088 · Forks: 657 · Open issues: 46 · Watchers: 35
- Primary language: Go
- License: Apache-2.0
- Last pushed: 2026-07-07T12:11:07+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

agent-skills, thread-safety, sql-injection, npe, xss, repository-level-context, code-review-assistant

## Related tools

- [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962)
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417)
- [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659)
- [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019)
- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347)
- [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863)
- [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★ 144,575)
- [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. (★ 116,702)

## README (excerpt)

```text
<div align="center">
  <a href="https://alibaba.github.io/open-code-review/">
    <img src="imgs/logo-core.svg" alt="OpenCodeReview logo" width="180" />
  </a>
  <h1>OpenCodeReview</h1>
</div>

<p align="center">
  <a href="https://trendshift.io/repositories/41087" target="_blank">
    <img src="https://trendshift.io/api/badge/trendshift/repositories/41087/weekly?language=Go" alt="alibaba%2Fopen-code-review | Trendshift" style="width: 320px; height: 70px;" width="320" height="70" />
  </a>
</p>
<p align="center">
  <a href="https://www.npmjs.com/package/@alibaba-group/open-code-review"><img alt="npm" src="https://img.shields.io/npm/v/@alibaba-group/open-code-review?style=flat-square" /></a>
  <a href="https://github.com/alibaba/open-code-review/actions/workflows/release.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/alibaba/open-code-review/release.yml?style=flat-square" /></a>
  <a href="https://goreportcard.com/report/github.com/alibaba/open-code-review"><img alt="Go Report Card" src="https://goreportcard.com/badge/github.com/alibaba/open-code-review?style=flat-square" /></a>
  <a href="https://github.com/alibaba/open-code-review/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/alibaba/open-code-review?style=flat-square" /></a>
  <a href="https://deepwiki.com/alibaba/open-code-review"><img alt="Ask DeepWiki" src="https://deepwiki.com/badge.svg" /></a>
  <a href="https://www.bestpractices.dev/projects/13328"><img alt="OpenSSF Best Practices" src="https://img.shields.io/badge/OpenSSF-Silver-4C566A?style=flat-square" /></a>
</p>
<p align="center">
  <a href="#supported-platforms"><img alt="Windows" src="https://img.shields.io/badge/Windows-supported-blue.svg" /></a>
  <a href="#supported-platforms"><img alt="macOS" src="https://img.shields.io/badge/macOS-supported-blue.svg" /></a>
  <a href="#supported-platforms"><img alt="Linux" src="https://img.shields.io/badge/Linux-supported-blue.svg" /></a>
  <a href="#supported-agents"><img alt="Claude Code" src="https://img.shields.io/badge/Claude_Code-supported-blueviolet.svg" /></a>
  <a href="#supported-agents"><img alt="Codex" src="https://img.shields.io/badge/Codex-supported-blueviolet.svg" /></a>
  <a href="#supported-agents"><img alt="Cursor" src="https://img.shields.io/badge/Cursor-supported-blueviolet.svg" /></a>
</p>
<p align="center">
  English | <a href="README.zh-CN.md">简体中文</a> | <a href="README.ja-JP.md">日本語</a> | <a href="README.ko-KR.md">한국어</a> | <a href="README.ru-RU.md">Русский</a>
</p>

---

## What is Open Code Review?

Open Code Review is an AI-powered code review CLI tool. It originated as Alibaba Group's internal official AI code review assistant — over the past two years, it has served tens of thousands of developers and identified millions of code defects. After thorough validation at massive scale, we incubated it into an open source project for the community. Simply configure a model endpoint to get started.

It reads Git diffs, sends changed files to a configurable LLM via an agent with tool-use capabilities, and generates structured review comments with line-level precision. The agent can read full file contents, search the codebase, inspect other changed files for context, and produce deep reviews — not just surface-level diff feedback. Beyond diff review, `ocr scan` reviews entire files for auditing unfamiliar codebases or directories that have no meaningful diff.

Visit the [official website](https://alibaba.github.io/open-code-review/) for more details.



## Benchmark

> Compared to general-purpose agents (Claude Code), Open Code Review achieves significantly higher **Precision** and **F1** with the same underlying model, while consuming only **~1/9 of the tokens** and completing reviews faster. Note that its Recall is lower than general-purpose agents — a deliberate trade-off favoring precision over noise.

A real-world code review benchmark built from **50** popular open-source
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/alibaba-open-code-review`](/api/graphcanon/tools/alibaba-open-code-review)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_