RRepoGEO

REPOGEO REPORT · LITE

OpenBMB/RepoAgent

Default branch main · commit 825d9881 · scanned 6/4/2026, 6:46:49 PM

GitHub: 980 stars · 138 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 OpenBMB/RepoAgent, 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
  • highreadme#1
    Reposition the README's opening to emphasize its unique LLM framework capabilities

    Why:

    COPY-PASTE FIX
    RepoAgent is a unified, specialized framework that empowers Large Language Models (LLMs) to autonomously understand, use, and modify entire code repositories. It provides a comprehensive solution for complex software engineering tasks, moving beyond basic code assistance or documentation generation to enable deep, repository-level interaction.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://openbmb.github.io/RepoAgent/
  • lowtopics#3
    Expand repository topics with more specific terms

    Why:

    CURRENT
    agent, chatglm, chatgpt, chatgpt-api, gpt, gpt-4, langchain, llama, llama-index, llms, qwen, rag, repo-level-debugging
    COPY-PASTE FIX
    agent, chatglm, chatgpt, chatgpt-api, code-analysis, code-understanding, gpt, gpt-4, langchain, llama, llama-index, llm-framework, llms, qwen, rag, repo-level-debugging, repository-agent, software-engineering-agent

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 OpenBMB/RepoAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tabnine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tabnine · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  4. Sourcegraph Cody · recommended 1×
  5. Documatic · recommended 1×
  • CATEGORY QUERY
    How can I automate comprehensive code documentation generation for a large codebase using AI?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. OpenAI GPT-4 / GPT-3.5 Turbo
    3. Sourcegraph Cody
    4. Documatic
    5. Swimm
    6. Tabnine

    AI recommended 6 alternatives but never named OpenBMB/RepoAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help new developers quickly understand a complex codebase with AI assistance?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. Tabnine
    5. Sourcegraph Cody (sourcegraph/cody)
    6. OpenAI's ChatGPT

    AI recommended 6 alternatives but never named OpenBMB/RepoAgent. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 OpenBMB/RepoAgent?
    pass
    AI named OpenBMB/RepoAgent explicitly

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

  • If a team adopts OpenBMB/RepoAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenBMB/RepoAgent 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 OpenBMB/RepoAgent solve, and who is the primary audience?
    pass
    AI named OpenBMB/RepoAgent explicitly

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

Embed your GEO score

Drop this badge into the README of OpenBMB/RepoAgent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/OpenBMB/RepoAgent.svg)](https://repogeo.com/en/r/OpenBMB/RepoAgent)
HTML
<a href="https://repogeo.com/en/r/OpenBMB/RepoAgent"><img src="https://repogeo.com/badge/OpenBMB/RepoAgent.svg" alt="RepoGEO" /></a>
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OpenBMB/RepoAgent — 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