RRepoGEO

REPOGEO REPORT · LITE

agent-topia/evolving_personality

Default branch main · commit 517e357d · scanned 5/29/2026, 2:52:53 AM

GitHub: 1,040 stars · 100 forks

AI VISIBILITY SCORE
28 /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
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 agent-topia/evolving_personality, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agents, personality-simulation, mbti, jungian-psychology, agent-framework, adaptive-ai, evolving-ai, human-computer-interaction, social-simulation
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0) that reflects the project's intended usage.
  • mediumreadme#3
    Add a 'Why JPAF?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps after 'Key Features', titled 'Why JPAF? Beyond Generic LLM Frameworks'. In this section, explain that while tools like LangChain or LlamaIndex provide foundational LLM orchestration, JPAF specializes in the *dynamic, psychologically-grounded evolution of agent personalities*, offering mechanisms for coherence, adaptation, and long-term growth that go beyond static prompt engineering.

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 agent-topia/evolving_personality
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. Hugging Face Transformers · recommended 2×
  4. Pinecone · recommended 1×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How to implement evolving and adaptive personalities for large language model agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. Chroma
    5. OpenAI Function Calling
    6. Anthropic's Tools
    7. Hugging Face Transformers
    8. Llama 2
    9. Mistral
    10. AutoGPT
    11. BabyAGI

    AI recommended 11 alternatives but never named agent-topia/evolving_personality. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Frameworks for creating LLM agent personalities based on psychological theories like MBTI?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Hugging Face Transformers
    5. Guidance (Microsoft)
    6. Semantic Kernel (Microsoft)

    AI recommended 6 alternatives but never named agent-topia/evolving_personality. 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 agent-topia/evolving_personality?
    pass
    AI did not name agent-topia/evolving_personality — 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 agent-topia/evolving_personality in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agent-topia/evolving_personality 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 agent-topia/evolving_personality solve, and who is the primary audience?
    pass
    AI named agent-topia/evolving_personality explicitly

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

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agent-topia/evolving_personality — 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