RRepoGEO

REPOGEO REPORT · LITE

VectorSpaceLab/general-agentic-memory

Default branch main · commit 565db2cc · scanned 6/12/2026, 4:43:31 PM

GitHub: 855 stars · 87 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 VectorSpaceLab/general-agentic-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 README opening to clarify unique role and differentiate from competitors

    Why:

    CURRENT
    A highly modular agentic file system framework that provides structured memory and operating environments for Large Language Models (LLMs).
    COPY-PASTE FIX
    GAM (General Agentic Memory) is a specialized agentic memory system and file system framework, distinct from general vector databases or LLM orchestration tools. It provides structured, multi-modal memory and operating environments for Large Language Models (LLMs), supporting both text and video modalities.
  • highlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License (or another suitable open-source license).

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 VectorSpaceLab/general-agentic-memory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weaviate
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weaviate · recommended 2×
  2. Pinecone · recommended 2×
  3. Chroma · recommended 2×
  4. PostgreSQL · recommended 1×
  5. pgvector · recommended 1×
  • CATEGORY QUERY
    How to build a persistent, structured memory system for LLM agents dealing with long texts and videos?
    you: not recommended
    AI recommended (in order):
    1. Weaviate
    2. Pinecone
    3. Chroma
    4. PostgreSQL
    5. pgvector
    6. Elasticsearch
    7. Milvus
    8. Neo4j

    AI recommended 8 alternatives but never named VectorSpaceLab/general-agentic-memory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to organize LLM agent memories hierarchically with intelligent text and video chunking.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Weaviate
    4. Pinecone
    5. Chroma
    6. Faiss

    AI recommended 6 alternatives but never named VectorSpaceLab/general-agentic-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
    fail

    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 VectorSpaceLab/general-agentic-memory?
    pass
    AI did not name VectorSpaceLab/general-agentic-memory — likely talking about a different project

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

  • If a team adopts VectorSpaceLab/general-agentic-memory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VectorSpaceLab/general-agentic-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 VectorSpaceLab/general-agentic-memory solve, and who is the primary audience?
    pass
    AI did not name VectorSpaceLab/general-agentic-memory — likely talking about a different project

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

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VectorSpaceLab/general-agentic-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