RRepoGEO

REPOGEO REPORT · LITE

Gentleman-Programming/engram

Default branch main · commit 44faeee1 · scanned 6/29/2026, 12:41:32 AM

GitHub: 4,725 stars · 540 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 Gentleman-Programming/engram, 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 specific topics for AI agent memory systems

    Why:

    COPY-PASTE FIX
    ai-agents, persistent-memory, go, sqlite, full-text-search, mcp, http-api, cli, agent-agnostic
  • highreadme#2
    Strengthen the README's opening sentence to clarify its category

    Why:

    CURRENT
    Your AI coding agent forgets everything when the session ends. Engram gives it a brain.
    COPY-PASTE FIX
    Engram is a dedicated persistent memory system for AI coding agents, providing a robust "brain" that remembers across sessions and interactions.
  • mediumhomepage#3
    Set the repository's main README as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/Gentleman-Programming/engram#readme

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 Gentleman-Programming/engram
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Redis
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Redis · recommended 2×
  2. PostgreSQL · recommended 2×
  3. MongoDB · recommended 2×
  4. LangChain · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I give my AI coding agent persistent memory across sessions?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. Chroma
    5. Qdrant
    6. Redis
    7. PostgreSQL
    8. SQLite
    9. MongoDB
    10. Couchbase
    11. DocumentDB
    12. JSON
    13. YAML
    14. Pickle

    AI recommended 14 alternatives but never named Gentleman-Programming/engram. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for an agent-agnostic memory system for AI development tools?
    you: not recommended
    AI recommended (in order):
    1. Redis
    2. PostgreSQL
    3. MongoDB
    4. Cassandra
    5. Elasticsearch
    6. Faiss
    7. Milvus

    AI recommended 7 alternatives but never named Gentleman-Programming/engram. 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 Gentleman-Programming/engram?
    pass
    AI named Gentleman-Programming/engram explicitly

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

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

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

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Gentleman-Programming/engram — 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