RRepoGEO

REPOGEO REPORT · LITE

kingkongshot/Pensieve

Default branch main · commit 8731f61b · scanned 5/24/2026, 10:47:42 AM

GitHub: 2,517 stars · 259 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 kingkongshot/Pensieve, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, llm-tools, agent-memory, knowledge-management, structured-data, knowledge-graph, context-management, second-brain
  • highreadme#2
    Add a clear differentiator against vector databases in the README introduction

    Why:

    CURRENT
    **In one sentence: Pensieve is a self-growing CLAUDE.md that runs as a skill -- minimal context usage, compatible with all AI tools that support skills.**
    COPY-PASTE FIX
    **In one sentence: Pensieve is a self-growing CLAUDE.md that runs as a skill -- minimal context usage, compatible with all AI tools that support skills. Unlike raw vector databases, Pensieve provides a structured, auto-accumulating knowledge graph for AI agents to make better, context-aware decisions.**
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [URL to project homepage, e.g., a GitHub Pages site, documentation, or demo]

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 kingkongshot/Pensieve
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Chroma
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Chroma · recommended 2×
  2. Weaviate · recommended 2×
  3. Pinecone · recommended 2×
  4. Faiss · recommended 2×
  5. Qdrant · recommended 1×
  • CATEGORY QUERY
    How can I provide my AI agent with persistent, self-updating project memory?
    you: not recommended
    AI recommended (in order):
    1. Chroma
    2. Weaviate
    3. Pinecone
    4. Qdrant
    5. LangChain
    6. Faiss
    7. Redis Stack

    AI recommended 7 alternatives but never named kingkongshot/Pensieve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents manage project knowledge efficiently while minimizing context window usage?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Pinecone
    3. Weaviate
    4. Chroma
    5. Faiss
    6. Haystack

    AI recommended 6 alternatives but never named kingkongshot/Pensieve. 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 kingkongshot/Pensieve?
    pass
    AI named kingkongshot/Pensieve explicitly

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

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

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

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kingkongshot/Pensieve — 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