RRepoGEO

REPOGEO REPORT · LITE

cytostack/openwolf

Default branch main · commit bd698351 · scanned 6/19/2026, 1:27:54 AM

GitHub: 1,963 stars · 162 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 cytostack/openwolf, 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
    Clarify OpenWolf's core function in the README's opening paragraph

    Why:

    CURRENT
    <strong>A second brain for Claude Code.</strong><br /> Project intelligence, token tracking, and invisible enforcement through 6 hook scripts. Zero workflow changes.
    COPY-PASTE FIX
    <strong>Open-source middleware for Claude Code.</strong><br /> OpenWolf provides sharper context and fewer tokens by giving Claude a second brain: project intelligence, token tracking, and invisible enforcement through 6 hook scripts, with zero workflow changes.
  • mediumreadme#2
    Add a dedicated section clarifying OpenWolf's scope and category

    Why:

    COPY-PASTE FIX
    ## What OpenWolf Is (and Is Not)
OpenWolf is specialized middleware designed exclusively for developers using Claude Code. It is *not* a general-purpose serverless platform, an MLOps solution, or a Kubernetes orchestration tool. Its sole focus is to enhance Claude Code's efficiency by providing project context, optimizing token usage, and enforcing coding standards directly within your development workflow.
  • mediumcomparison#3
    Add a comparison section to differentiate from RAG frameworks

    Why:

    COPY-PASTE FIX
    ## OpenWolf vs. RAG Frameworks & Vector Databases
OpenWolf is distinct from general-purpose RAG frameworks (like LlamaIndex, LangChain) and vector databases (like Pinecone, ChromaDB). While these tools provide context for LLMs, OpenWolf is specialized middleware for Claude Code, focusing on project intelligence, token optimization, and invisible enforcement *within* the coding workflow, rather than general knowledge retrieval or data storage.

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 cytostack/openwolf
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Pinecone · recommended 2×
  4. Weaviate · recommended 1×
  5. ChromaDB · recommended 1×
  • CATEGORY QUERY
    How can I reduce AI assistant token usage while improving project context awareness?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Weaviate
    4. Pinecone
    5. ChromaDB
    6. OpenAI API
    7. Anthropic API
    8. GPT-3.5 Turbo
    9. Claude 3 Haiku
    10. Neo4j
    11. Grakn
    12. Ontotext GraphDB
    13. Auto-merging Retriever

    AI recommended 13 alternatives but never named cytostack/openwolf. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to give my AI coding assistant better project memory and file indexing?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Chroma
    4. Pinecone
    5. FAISS
    6. Elasticsearch
    7. Sentence Transformers

    AI recommended 7 alternatives but never named cytostack/openwolf. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 cytostack/openwolf?
    pass
    AI named cytostack/openwolf explicitly

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

  • If a team adopts cytostack/openwolf in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cytostack/openwolf 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 cytostack/openwolf solve, and who is the primary audience?
    pass
    AI named cytostack/openwolf 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 cytostack/openwolf. 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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cytostack/openwolf — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite