RRepoGEO

REPOGEO REPORT · LITE

codefuse-ai/CodeFuse-CGM

Default branch main · commit 2c12754a · scanned 6/6/2026, 10:03:41 AM

GitHub: 533 stars · 56 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface codefuse-ai/CodeFuse-CGM, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["llm", "graph-neural-networks", "software-engineering", "code-generation", "code-understanding", "large-language-models", "ai-framework", "neurips"]
  • highreadme#2
    Update README H1 and Introduction's first paragraph to clarify positioning

    Why:

    COPY-PASTE FIX
    # CGM: Code Graph LLM - A Graph-Integrated Framework for Repository-Level Software Engineering Tasks

## Contents
- [News](#news)
- [Introduction](#introduction)
- [Installation](#installation)
- [Examples](#examples)
  - [Rewriter](#rewriter)
  - [Retriever](#retriever)
  - [Reranker](#reranker)
  - [Reader](#reader)
- [Contributing](#contributing)
- [Citation](#citation)
- [Join Us](#join-us)

## News

🔥🔥🔥 [2025/09/19] Our paper Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks has been accepted to NeurIPS 2025!

🔥🔥🔥 [2025/01/15] We are pleased to announce the updated version of the CGM-72B-V1.2. The model further achieves a remarkable 44.00% resolve rate on the SWE-Bench-Lite leaderboard.

🔥🔥🔥 [2024/12/28] We are pleased to announce the updated version of the CGM-72B-V1.1. The model further achieves a remarkable 41.67% resolve rate on the SWE-Bench-Lite leaderboard.

🔥🔥🔥 [2024/10/28] We are pleased to announce that CGM-72B achieves a remarkable 35.67% resolve rate on the SWE-Bench-Lite leaderboard.

🔥🔥🔥 [2024/10/28] We released **CGM**, mainly for repository-level coding tasks.

- 📜 **Paper**: Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
- 🤖 **Model**: codefuse-ai/CodeFuse-CGM-72B
- 📊 **Data**: codefuse-ai/CodeGraph

## Introduction
CGM is a cutting-edge **graph-integrated LLM framework** specifically engineered for complex, repository-level software engineering (SE) tasks. It uniquely constructs a comprehensive code graph to provide rich context, enabling advanced capabilities for code generation, rewriting, retrieval, and understanding.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and adding its SPDX identifier to the repository's "About" section.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface codefuse-ai/CodeFuse-CGM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 1×
  2. MetaGPT · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What LLM frameworks are available for automating complex repository-level software engineering tasks?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. MetaGPT
    3. LangChain
    4. LlamaIndex
    5. CrewAI
    6. OpenDevin

    AI recommended 6 alternatives but never named codefuse-ai/CodeFuse-CGM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a large language model that leverages graph structures for advanced code understanding and generation.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Neo4j
    3. ArangoDB
    4. GPT-4
    5. Joern
    6. CodeQL
    7. DeepMind's AlphaCode 2
    8. Google's Gemini
    9. Hugging Face Transformers
    10. Salesforce/codegen-350M-mono
    11. bigcode/starcoder
    12. PyTorch Geometric
    13. DGL

    AI recommended 13 alternatives but never named codefuse-ai/CodeFuse-CGM. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of codefuse-ai/CodeFuse-CGM?
    pass
    AI named codefuse-ai/CodeFuse-CGM explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts codefuse-ai/CodeFuse-CGM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codefuse-ai/CodeFuse-CGM explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo codefuse-ai/CodeFuse-CGM solve, and who is the primary audience?
    pass
    AI named codefuse-ai/CodeFuse-CGM explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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codefuse-ai/CodeFuse-CGM — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite