RRepoGEO

REPOGEO REPORT · LITE

winstonkoh87/Athena-Public

Default branch main · commit 33037504 · scanned 6/14/2026, 2:51:23 AM

GitHub: 503 stars · 69 forks

AI VISIBILITY SCORE
33 /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
2 / 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 winstonkoh87/Athena-Public, 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 and tagline to explicitly state 'The Linux OS for AI Agents'

    Why:

    CURRENT
    # Project Athena

**Your memory. Your machine. Any model.**

Open-source cognitive augmentation layer that gives you persistent memory, structured reasoning, and full data ownership — across ChatGPT, Claude, Gemini, and any model you switch to next.
    COPY-PASTE FIX
    # Project Athena: The Linux OS for AI Agents

**Your memory. Your machine. Any model. Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.**

An open-source cognitive augmentation layer that gives you persistent memory, structured reasoning, and full data ownership — across ChatGPT, Claude, Gemini, and any model you switch to next.
  • mediumcomparison#2
    Add a comparison section to clarify Athena's unique positioning against other frameworks

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., "## Athena vs. Other AI Frameworks", with content like: "While general-purpose frameworks like LangChain and LlamaIndex offer extensive toolkits, Athena differentiates itself as a complete 'Linux OS for AI Agents.' It prioritizes full data ownership, persistent memory, and time-awareness on *your machine*, providing a foundational layer for autonomous agents independent of specific LLM providers, rather than just an orchestration library."
  • lowtopics#3
    Add more specific topics related to AI agent orchestration and local-first AI

    Why:

    CURRENT
    ai, ai-agents, ai-assistant, automation, chatgpt, developer-tools, framework, gemini, google-antigravity, graphrag, knowledge-management, llm, local-first, memory, open-source, prompt-engineering, python, rag, semantic-search, vector-search
    COPY-PASTE FIX
    ai, ai-agents, ai-assistant, automation, chatgpt, developer-tools, framework, gemini, google-antigravity, graphrag, knowledge-management, llm, local-first, memory, open-source, prompt-engineering, python, rag, semantic-search, vector-search, ai-orchestration, agent-framework, local-ai, data-ownership, autonomous-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 winstonkoh87/Athena-Public
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. Pinecone · recommended 1×
  4. weaviate/weaviate · recommended 1×
  5. chroma-core/chroma · recommended 1×
  • CATEGORY QUERY
    How to maintain consistent AI agent personality and memory across various language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Pinecone
    4. Weaviate (weaviate/weaviate)
    5. Chroma (chroma-core/chroma)
    6. OpenAI API
    7. gpt-3.5-turbo
    8. gpt-4
    9. Weights & Biases (W&B) (wandb/wandb)
    10. MLflow (mlflow/mlflow)
    11. PostgreSQL
    12. MongoDB (mongodb/mongo)

    AI recommended 12 alternatives but never named winstonkoh87/Athena-Public. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source framework to manage persistent memory for my local AI agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Faiss
    4. Chroma
    5. Weaviate
    6. Milvus
    7. Redis

    AI recommended 7 alternatives but never named winstonkoh87/Athena-Public. 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 winstonkoh87/Athena-Public?
    pass
    AI named winstonkoh87/Athena-Public explicitly

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

  • If a team adopts winstonkoh87/Athena-Public in production, what risks or prerequisites should they evaluate first?
    pass
    AI named winstonkoh87/Athena-Public 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 winstonkoh87/Athena-Public solve, and who is the primary audience?
    pass
    AI did not name winstonkoh87/Athena-Public — 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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winstonkoh87/Athena-Public — 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