RRepoGEO

REPOGEO REPORT · LITE

ruvnet/agentic-flow

Default branch main · commit 6a068546 · scanned 6/8/2026, 10:26:54 PM

GitHub: 742 stars · 171 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 ruvnet/agentic-flow, 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 opening to clarify deployment and multi-model capabilities

    Why:

    CURRENT
    > **Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.**
    COPY-PASTE FIX
    > **Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms. It empowers developers to deploy fully hosted, self-learning agents and seamlessly switch between alternative low-cost AI models, bridging the gap between development and production.**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0) in the root of the repository to clearly state the terms of use.
  • mediumtopics#3
    Add more specific topics related to agent deployment and multi-model management

    Why:

    CURRENT
    agents, claude, claude-agent-sdk, claude-code, gemini, openrouter, swarm-intelligence
    COPY-PASTE FIX
    agents, claude, claude-agent-sdk, claude-code, gemini, openrouter, swarm-intelligence, ai-agent-deployment, multi-llm, model-switching, cost-optimization

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 ruvnet/agentic-flow
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. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    Need a framework for orchestrating multiple autonomous AI agents in production environments.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. Rivet

    AI recommended 6 alternatives but never named ruvnet/agentic-flow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to deploy self-learning AI agents and switch between alternative low-cost language models?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Kubeflow
    3. KServe
    4. KFServing
    5. Hugging Face Transformers
    6. Hugging Face Inference API
    7. Hugging Face Spaces
    8. OpenAI API
    9. Azure OpenAI Service
    10. MLflow
    11. LangChain
    12. LlamaIndex
    13. Ray Serve
    14. Google Cloud Vertex AI
    15. Amazon SageMaker

    AI recommended 15 alternatives but never named ruvnet/agentic-flow. 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 ruvnet/agentic-flow?
    pass
    AI named ruvnet/agentic-flow explicitly

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

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

Embed your GEO score

Drop this badge into the README of ruvnet/agentic-flow. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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ruvnet/agentic-flow — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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