RRepoGEO

REPOGEO REPORT · LITE

nibzard/awesome-agentic-patterns

Default branch main · commit 9c40e100 · scanned 5/9/2026, 9:53:21 AM

GitHub: 4,489 stars · 395 forks

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 nibzard/awesome-agentic-patterns, 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, agentic-ai, ai-patterns, design-patterns, artificial-intelligence, agent-architectures, ai-agents
  • highreadme#2
    Explicitly state 'awesome list' in the README's opening sentence

    Why:

    CURRENT
    # Awesome Agentic Patterns

A curated catalogue of **agentic AI patterns** — real‑world tricks, workflows, and mini‑architectures that help autonomous or semi‑autonomous AI agents get useful work done in production.
    COPY-PASTE FIX
    # Awesome Agentic Patterns

An **awesome list** and curated catalogue of **agentic AI patterns** — real‑world tricks, workflows, and mini‑architectures that help autonomous or semi‑autonomous AI agents get useful work done in production.
  • mediumabout#3
    Refine the 'About' description for clarity and keyword alignment

    Why:

    CURRENT
    A curated catalogue of awesome agentic AI patterns
    COPY-PASTE FIX
    An awesome list and curated catalogue of agentic AI patterns, workflows, and architectures for building 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 nibzard/awesome-agentic-patterns
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. Mirasol · recommended 1×
  5. RLlib · recommended 1×
  • CATEGORY QUERY
    How can I find repeatable design patterns for building effective autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. BabyAGI
    4. Mirasol
    5. RLlib
    6. PettingZoo

    AI recommended 6 alternatives but never named nibzard/awesome-agentic-patterns. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are practical workflows and architectures to deploy reliable AI agents in production?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGen (microsoft/autogen)
    4. CrewAI (joaomdmoura/crewAI)
    5. OpenAI
    6. Anthropic
    7. Google Gemini
    8. LangServe (langchain-ai/langserve)
    9. FastAPI (tiangolo/fastapi)
    10. Docker
    11. Kubernetes (kubernetes/kubernetes)
    12. Google Kubernetes Engine
    13. Amazon EKS
    14. Azure Kubernetes Service
    15. LangSmith
    16. Prometheus (prometheus/prometheus)
    17. Grafana (grafana/grafana)
    18. OpenTelemetry
    19. Sentry (getsentry/sentry)
    20. PostgreSQL
    21. pgvector (pgvector/pgvector)
    22. Pinecone
    23. Weaviate (weaviate/weaviate)
    24. Chroma (chroma-core/chroma)
    25. Redis (redis/redis)
    26. GitHub Actions
    27. GitLab CI
    28. Jenkins (jenkinsci/jenkins)

    AI recommended 28 alternatives but never named nibzard/awesome-agentic-patterns. 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 nibzard/awesome-agentic-patterns?
    pass
    AI did not name nibzard/awesome-agentic-patterns — 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 nibzard/awesome-agentic-patterns in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nibzard/awesome-agentic-patterns 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 nibzard/awesome-agentic-patterns solve, and who is the primary audience?
    pass
    AI did not name nibzard/awesome-agentic-patterns — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite