RRepoGEO

REPOGEO REPORT · LITE

kitfunso/hippo-memory

Default branch master · commit fb96f7e2 · scanned 6/9/2026, 12:07:00 AM

GitHub: 682 stars · 36 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 kitfunso/hippo-memory, 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
  • highreadme#1
    Reposition the README's core description to emphasize Node.js and biological inspiration

    Why:

    CURRENT
    A memory layer for AI agents. Modeled on the hippocampus. Decay by default, strength through use, provenance on every memory. SQLite under the hood, zero runtime deps, works with every CLI agent you have.
    COPY-PASTE FIX
    Hippo is a **Node.js memory layer for AI agents**, uniquely providing **biologically-inspired intelligent forgetting and retrieval strengthening**. Modeled on the hippocampus, it offers decay by default, strength through use, and provenance on every memory, all powered by SQLite under the hood with zero runtime dependencies.
  • mediumreadme#2
    Add a dedicated 'How it's different' section to clarify SQLite's role

    Why:

    COPY-PASTE FIX
    ## How Hippo is Different

Unlike generic storage solutions or external databases, Hippo leverages an embedded SQLite backbone to provide robust, git-trackable, and human-readable memory without introducing any external runtime dependencies. This means you get intelligent, biologically-inspired memory directly integrated into your Node.js agent, not a separate service to manage.

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 kitfunso/hippo-memory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. facebookresearch/faiss · recommended 2×
  3. run-llama/llama_index · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How can I give my AI agent a more effective, adaptive memory system?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Pinecone
    4. Weaviate (weaviate/weaviate)
    5. Redis (redis/redis)
    6. Faiss (facebookresearch/faiss)
    7. Neo4j (neo4j/neo4j)

    AI recommended 7 alternatives but never named kitfunso/hippo-memory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent memory solution that intelligently forgets and has no runtime dependencies.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. collections.deque
    3. json
    4. SQLite
    5. Faiss (facebookresearch/faiss)

    AI recommended 5 alternatives but never named kitfunso/hippo-memory. 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 kitfunso/hippo-memory?
    pass
    AI named kitfunso/hippo-memory explicitly

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

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

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

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kitfunso/hippo-memory — 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