RRepoGEO

REPOGEO REPORT · LITE

basicmachines-co/basic-memory

Default branch main · commit b5f13d69 · scanned 6/20/2026, 4:31:20 AM

GitHub: 3,265 stars · 216 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 basicmachines-co/basic-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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clearly state its purpose as an AI memory system

    Why:

    COPY-PASTE FIX
    Move the core value proposition to the very top, e.g., replace the existing `# Basic Memory` with: `# Basic Memory: Your AI's Long-Term Memory and Knowledge Base` and ensure this is the first major heading after any badges.
  • mediumreadme#2
    Enhance the repository description with explicit keywords

    Why:

    CURRENT
    AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
    COPY-PASTE FIX
    Basic Memory is an open-source, local-first knowledge base that gives your AI long-term memory and project context. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
  • mediumtopics#3
    Add more specific topics related to LLM memory and knowledge bases

    Why:

    CURRENT
    ai, claude, knowledge-management, knowlege-graph, llm, local-first, markdown, mcp, obsidian, obsidian-md, open-source, privacy-first, privacy-first-ai, productivity, python
    COPY-PASTE FIX
    ai, claude, knowledge-management, knowlege-graph, llm, local-first, markdown, mcp, obsidian, obsidian-md, open-source, privacy-first, privacy-first-ai, productivity, python, llm-memory, ai-context, long-term-memory, knowledge-base, llm-knowledge-base

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 basicmachines-co/basic-memory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. OpenAI GPT-4 · recommended 1×
  3. GPT-3.5 Turbo · recommended 1×
  4. Pinecone · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How can I build an AI assistant that retains conversation history and project context?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. GPT-3.5 Turbo
    4. Pinecone
    5. Weaviate
    6. ChromaDB
    7. LlamaIndex
    8. Microsoft Azure OpenAI Service
    9. Azure AI Search
    10. Google Cloud's Vertex AI
    11. PaLM 2
    12. Gemini
    13. AlloyDB for PostgreSQL
    14. pgvector
    15. Flask
    16. Django
    17. OpenAI API
    18. PostgreSQL
    19. Hugging Face Transformers
    20. Llama 2
    21. Mistral

    AI recommended 21 alternatives but never named basicmachines-co/basic-memory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools help manage a private, persistent knowledge base for LLM interactions?
    you: not recommended
    AI recommended (in order):
    1. Chroma (chroma-core/chroma)
    2. Weaviate (weaviate/weaviate)
    3. PostgreSQL with pgvector (pgvector/pgvector)
    4. LanceDB (lancedb/lancedb)
    5. Qdrant (qdrant/qdrant)
    6. Milvus (milvus-io/milvus)

    AI recommended 6 alternatives but never named basicmachines-co/basic-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
    pass

  • 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 basicmachines-co/basic-memory?
    pass
    AI named basicmachines-co/basic-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 basicmachines-co/basic-memory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named basicmachines-co/basic-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 basicmachines-co/basic-memory solve, and who is the primary audience?
    pass
    AI named basicmachines-co/basic-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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basicmachines-co/basic-memory — 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