RRepoGEO

REPOGEO REPORT · LITE

HazyResearch/minions

Default branch main · commit a87d0ee9 · scanned 6/21/2026, 3:37:36 PM

GitHub: 1,326 stars · 154 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 HazyResearch/minions, 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

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

OVERALL DIRECTION
  • highabout#1
    Update GitHub repository description

    Why:

    CURRENT
    Big & Small LLMs working together
    COPY-PASTE FIX
    A communication protocol and framework for cost-efficient collaboration between small on-device LLMs and large cloud LLMs, reducing API costs.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://hazyresearch.stanford.edu/blog/2025-02-24-minions

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 HazyResearch/minions
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. Hugging Face `transformers` Library · recommended 1×
  4. `bitsandbytes` · recommended 1×
  5. Llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to reduce cloud LLM API costs by offloading context processing to local models?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. Hugging Face `transformers` Library
    4. `bitsandbytes`
    5. Llama.cpp
    6. vLLM

    AI recommended 6 alternatives but never named HazyResearch/minions. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to combine on-device language models with powerful cloud-based LLMs for efficiency.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Hugging Face Transformers
    3. OpenAI's GPT-4
    4. Anthropic's Claude
    5. Google's Gemini
    6. LlamaIndex
    7. Haystack
    8. OpenVINO
    9. MLflow

    AI recommended 9 alternatives but never named HazyResearch/minions. 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 HazyResearch/minions?
    pass
    AI named HazyResearch/minions explicitly

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

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

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

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HazyResearch/minions — 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