RRepoGEO

REPOGEO REPORT · LITE

ALucek/agentic-memory

Default branch main · commit 03eb349d · scanned 6/11/2026, 6:03:55 AM

GitHub: 541 stars · 100 forks

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 ALucek/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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agents, cognitive-architecture, agentic-ai, memory-systems, artificial-intelligence, psychological-models, language-models
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a file named 'LICENSE' in the root of your repository. You will need to choose and paste the full text of an open-source license (e.g., MIT, Apache-2.0) into this file.
  • mediumreadme#3
    Clarify the README's opening to emphasize its role as a framework/library

    Why:

    CURRENT
    # Agent Memory - Can LLMs *Really* Think?
    COPY-PASTE FIX
    # Agentic Memory: A Cognitive Architecture Framework for LLM Agents

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 ALucek/agentic-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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Pinecone · recommended 1×
  4. Chroma · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How can I give my LLM agent long-term memory and learning capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Chroma
    4. Weaviate
    5. OpenAI
    6. Google
    7. LlamaIndex
    8. Redis
    9. PostgreSQL
    10. pgvector
    11. SQLite
    12. DynamoDB
    13. MongoDB
    14. Faiss

    AI recommended 14 alternatives but never named ALucek/agentic-memory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for frameworks to build LLM agents with human-like cognitive memory and reasoning.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Haystack
    6. AgentVerse

    AI recommended 6 alternatives but never named ALucek/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
    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 ALucek/agentic-memory?
    pass
    AI named ALucek/agentic-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 ALucek/agentic-memory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ALucek/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 ALucek/agentic-memory solve, and who is the primary audience?
    pass
    AI named ALucek/agentic-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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ALucek/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