RRepoGEO

REPOGEO REPORT · LITE

CortexReach/memory-lancedb-pro

Default branch master · commit 0640058c · scanned 5/17/2026, 10:32:07 PM

GitHub: 4,349 stars · 722 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
    Reposition the README's opening to emphasize its identity as an official OpenClaw plugin

    Why:

    CURRENT
    AI Memory Assistant for OpenClaw AgentsGive your AI agent a brain that actually remembers — across sessions, across agents, across time.* A LanceDB-backed OpenClaw memory plugin that stores preferences, decisions, and project context, then auto-recalls them in future sessions.
    COPY-PASTE FIX
    🧠 memory-lancedb-pro · 🦞Official OpenClaw Plugin for AI Agents. This LanceDB-backed memory plugin gives your AI agent a production-grade brain that remembers across sessions, agents, and time, automatically capturing and recalling preferences, decisions, and project context.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and adding the full license text.
  • mediumabout#3
    Refine the 'About' description for conciseness and immediate clarity on its AI agent plugin nature

    Why:

    CURRENT
    Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
    COPY-PASTE FIX
    Production-grade LanceDB memory plugin for OpenClaw AI agents, offering hybrid retrieval (Vector + BM25), cross-encoder reranking, and multi-scope isolation for persistent, intelligent recall.

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
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Pinecone · recommended 2×
  3. Weaviate · recommended 2×
  4. LlamaIndex · recommended 2×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How can I give my AI agent persistent memory to recall past decisions and context?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. Chroma
    5. Qdrant
    6. LlamaIndex
    7. Milvus
    8. Redis
    9. RedisJSON
    10. Redis Stack
    11. PostgreSQL
    12. pgvector
    13. MongoDB
    14. JSON
    15. YAML
    16. CSV

    AI recommended 16 alternatives but never named CortexReach/memory-lancedb-pro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best RAG solutions for AI agents needing advanced hybrid retrieval and reranking?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Weaviate
    5. Pinecone
    6. Elasticsearch
    7. OpenSearch
    8. Cohere Rerank
    9. BGE Reranker
    10. Hugging Face Transformers

    AI recommended 10 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.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite