RRepoGEO

REPOGEO REPORT · LITE

OpenGVLab/GITM

Default branch main · commit f7487801 · scanned 6/9/2026, 9:13:24 AM

GitHub: 640 stars · 24 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 OpenGVLab/GITM, 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
  • highabout#1
    Explicitly state the project's focus on Minecraft AI agents in the 'About' description

    Why:

    CURRENT
    Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
    COPY-PASTE FIX
    A novel framework for creating generally capable AI agents in Minecraft using Large Language Models with text-based knowledge and memory. Solves complex open-world tasks.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file (e.g., `MIT License` or `Apache-2.0 License`) to the repository root to clarify usage rights.
  • mediumreadme#3
    Strengthen the first project-specific sentence in the README to emphasize Minecraft and differentiate from general LLM frameworks

    Why:

    CURRENT
    **Ghost in the Minecraft (GITM)** is a novel framework integrates Large Language Models (LLMs) with text-based knowledge and memory, aiming to create Generally Capable Agents in Minecraft.
    COPY-PASTE FIX
    **Ghost in the Minecraft (GITM)** is a novel framework for building **highly capable AI agents specifically designed for the complex, open-world environment of Minecraft**. Unlike general LLM frameworks, GITM integrates Large Language Models with text-based knowledge and memory to achieve unprecedented task coverage and success rates in Minecraft, unlocking 100% of the Overworld technology tree.

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 OpenGVLab/GITM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGen · recommended 2×
  4. OpenAI API · recommended 1×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    How to build autonomous agents for open-world games using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. OpenAI API
    5. Anthropic Claude
    6. Google Gemini
    7. Unity
    8. Unreal Engine

    AI recommended 8 alternatives but never named OpenGVLab/GITM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for creating AI agents with memory in complex game environments?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. OpenAI Assistants API
    5. Haystack
    6. BabyAGI
    7. Auto-GPT

    AI recommended 7 alternatives but never named OpenGVLab/GITM. 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 OpenGVLab/GITM?
    pass
    AI named OpenGVLab/GITM explicitly

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

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

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

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OpenGVLab/GITM — 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