RRepoGEO

REPOGEO REPORT · LITE

CortexReach/memory-lancedb-pro

Default branch master · commit 373117ed · scanned 6/29/2026, 3:46:55 AM

GitHub: 4,445 stars · 729 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
22 /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
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 CortexReach/memory-lancedb-pro, 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
    Add a direct comparison in the README's opening to clarify its role as an agent plugin

    Why:

    CURRENT
    A LanceDB-backed OpenClaw memory plugin that stores preferences, decisions, and project context, then auto-recalls them in future sessions.
    COPY-PASTE FIX
    Unlike standalone vector databases or general-purpose memory solutions, memory-lancedb-pro is a specialized, production-grade long-term memory *plugin* designed exclusively for OpenClaw agents, offering advanced features like hybrid retrieval and multi-scope isolation.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., LICENSE.md) in the repository root containing the text of a standard open-source license such as MIT or Apache-2.0.
  • mediumtopics#3
    Add more specific topics to reinforce the AI agent memory plugin category

    Why:

    CURRENT
    lancedb, memory, openclaw, openclaw-agent, openclaw-plugin, rag
    COPY-PASTE FIX
    lancedb, memory, openclaw, openclaw-agent, openclaw-plugin, rag, ai-agent-memory, agent-framework-plugin, long-term-memory, hybrid-retrieval

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 CortexReach/memory-lancedb-pro
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Weaviate · recommended 2×
  3. Redis · recommended 1×
  4. RedisJSON · recommended 1×
  5. RediSearch · recommended 1×
  • CATEGORY QUERY
    How can I give my AI agent persistent memory across multiple sessions and contexts?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Redis
    4. RedisJSON
    5. RediSearch
    6. PostgreSQL
    7. pgvector
    8. Chroma
    9. MongoDB
    10. LangChain

    AI recommended 10 alternatives but never named CortexReach/memory-lancedb-pro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What advanced memory solutions provide hybrid retrieval and context isolation for AI agents?
    you: not recommended
    AI recommended (in order):
    1. Redis Stack
    2. Weaviate
    3. Pinecone
    4. Qdrant
    5. Elasticsearch
    6. Milvus
    7. Zilliz

    AI recommended 7 alternatives but never named CortexReach/memory-lancedb-pro. 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 CortexReach/memory-lancedb-pro?
    pass
    AI did not name CortexReach/memory-lancedb-pro — 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 CortexReach/memory-lancedb-pro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CortexReach/memory-lancedb-pro 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 CortexReach/memory-lancedb-pro solve, and who is the primary audience?
    pass
    AI did not name CortexReach/memory-lancedb-pro — 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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CortexReach/memory-lancedb-pro — 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