RRepoGEO

REPOGEO REPORT · LITE

FoundationAgents/awesome-foundation-agents

Default branch main · commit 692cfbba · scanned 6/19/2026, 3:02:55 AM

GitHub: 2,177 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
22 /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
1 / 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 FoundationAgents/awesome-foundation-agents, 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
    awesome-list, foundation-models, ai-agents, llm-agents, agentic-ai, research-papers, curated-list
  • highreadme#2
    Reposition README opening to explicitly state 'awesome list' and scope

    Why:

    CURRENT
    We maintain a curated collection of papers exploring the path towards Foundation Agents, with a focus on formulating the core concepts and navigating the research landscape.
    COPY-PASTE FIX
    This is an awesome list, a curated collection of essential papers, repositories, and blogs exploring the path towards Foundation Agents, with a focus on formulating core concepts and navigating the research landscape.
  • mediumabout#3
    Enhance the 'About' description for clarity and keyword density

    Why:

    CURRENT
    About Awesome things towards foundation agents. Papers / Repos / Blogs / ...
    COPY-PASTE FIX
    A curated awesome list of key research papers, open-source repositories, and insightful blogs on Foundation Agents, LLM agents, and agentic AI.

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 FoundationAgents/awesome-foundation-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ACM Digital Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ACM Digital Library · recommended 1×
  2. IEEE Xplore Digital Library · recommended 1×
  3. arXiv · recommended 1×
  4. Google Scholar · recommended 1×
  5. Semantic Scholar · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of research papers on intelligent agent architectures?
    you: not recommended
    AI recommended (in order):
    1. ACM Digital Library
    2. IEEE Xplore Digital Library
    3. arXiv
    4. Google Scholar
    5. Semantic Scholar
    6. AAAI Digital Library
    7. SpringerLink
    8. ScienceDirect (Elsevier)

    AI recommended 8 alternatives but never named FoundationAgents/awesome-foundation-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the key challenges and advancements in building robust foundation models for AI agents?
    you: not recommended
    AI recommended (in order):
    1. Mamba
    2. RetNet
    3. GPT-4V
    4. Gemini
    5. RT-2
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)
    8. bitsandbytes (TimDettmers/bitsandbytes)
    9. GGML/GGUF (ggerganov/llama.cpp)
    10. NVIDIA H100
    11. Google TPUs
    12. vLLM (vllm-project/vllm)
    13. TensorRT-LLM (NVIDIA/TensorRT-LLM)
    14. MAML

    AI recommended 14 alternatives but never named FoundationAgents/awesome-foundation-agents. 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 FoundationAgents/awesome-foundation-agents?
    pass
    AI did not name FoundationAgents/awesome-foundation-agents — 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 FoundationAgents/awesome-foundation-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FoundationAgents/awesome-foundation-agents 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 FoundationAgents/awesome-foundation-agents solve, and who is the primary audience?
    pass
    AI did not name FoundationAgents/awesome-foundation-agents — 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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FoundationAgents/awesome-foundation-agents — 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