RRepoGEO

REPOGEO REPORT · LITE

camel-ai/oasis

Default branch main · commit 9009941f · scanned 6/24/2026, 1:31:57 AM

GitHub: 4,835 stars · 587 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 camel-ai/oasis, 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
  • highabout#1
    Refine the repository's Description field

    Why:

    CURRENT
    🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
    COPY-PASTE FIX
    🏝️ OASIS: A scalable social media simulator with one million LLM agents for studying complex social dynamics.
  • highcomparison#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison to Alternatives' or 'Why OASIS?' in the README. This section should explicitly contrast OASIS with tools like Mesa, NetLogo, and Ray, as well as foundational LLM frameworks (e.g., LangChain, OpenAI API), by highlighting OASIS's unique focus on large-scale, LLM-powered *social media simulation* and *social dynamics research*.
  • mediumtopics#3
    Refine GitHub Topics for better specificity

    Why:

    CURRENT
    agent-based-framework, agent-based-simulation, ai-societies, deep-learning, large-language-models, large-scale, llm-agents, multi-agent-systems, natural-language-processing
    COPY-PASTE FIX
    agent-based-framework, agent-based-simulation, ai-societies, large-language-models, large-scale, llm-agents, multi-agent-systems, social-media-simulation, social-dynamics

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 camel-ai/oasis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mesa
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mesa · recommended 2×
  2. NetLogo · recommended 2×
  3. Ray · recommended 1×
  4. Apache Kafka · recommended 1×
  5. Cassandra · recommended 1×
  • CATEGORY QUERY
    How can I simulate large-scale social media interactions with millions of AI agents?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. Ray
    3. Apache Kafka
    4. Cassandra
    5. Neo4j
    6. NetLogo
    7. GAMA Platform

    AI recommended 7 alternatives but never named camel-ai/oasis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help model complex social dynamics and information spread using LLM-powered agents?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. OpenAI API
    3. Anthropic API
    4. Hugging Face Transformers
    5. LangChain
    6. LlamaIndex
    7. NetLogo
    8. AutoGen
    9. PyNetLogo
    10. Google's Gemini
    11. SPADE
    12. openai library
    13. anthropic library

    AI recommended 13 alternatives but never named camel-ai/oasis. 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 camel-ai/oasis?
    pass
    AI named camel-ai/oasis explicitly

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

  • If a team adopts camel-ai/oasis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named camel-ai/oasis 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 camel-ai/oasis solve, and who is the primary audience?
    pass
    AI named camel-ai/oasis explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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camel-ai/oasis — RepoGEO report