RRepoGEO

REPOGEO REPORT · LITE

activeagents/activeagent

Default branch main · commit faafeff2 · scanned 5/31/2026, 7:07:21 PM

GitHub: 947 stars · 84 forks

AI VISIBILITY SCORE
35 /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
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 activeagents/activeagent, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening paragraph to emphasize 'Rails framework'

    Why:

    CURRENT
    Active Agent provides that missing AI layer in the Rails framework, offering a structured approach to building AI-powered applications through Agent Oriented Programming. **Now Agents are Controllers!** Designing applications using agents allows developers to create modular, reusable components that can be easily integrated into existing systems. This approach promotes code reusability, maintainability, and scalability, making it easier to build complex AI-driven applications with the Object Oriented Ruby code you already use today.
    COPY-PASTE FIX
    **Active Agent is the missing AI layer for Ruby on Rails, a full framework for building AI-powered applications with Agent Oriented Programming.** Now, Agents are Controllers! This framework provides a structured approach to integrate modular, reusable AI agents directly into your existing Rails applications, leveraging the Object-Oriented Ruby code you already use. Build complex, scalable AI-driven applications with ease.
  • mediumcomparison#2
    Add a 'Why Active Agent?' comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Active Agent? (vs. Libraries like LangChain.rb or OpenAI API)
    
    Active Agent is a full framework for building AI agent applications directly within Ruby on Rails, unlike general-purpose LLM libraries (e.g., `ruby-openai`, `LangChain.rb`) which provide API wrappers or utility functions. While those libraries are essential for interacting with LLMs, Active Agent provides the architectural patterns and conventions to structure, manage, and deploy complex agent-oriented applications as a first-class part of your Rails app, much like how Rails handles web controllers or database models. It also differs from Ruby concurrency tools (like Celluloid or Sidekiq) by focusing specifically on the lifecycle and interaction patterns of AI agents, rather than just general background processing.

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 activeagents/activeagent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. openai/ruby-openai · recommended 1×
  3. LangChain.rb · recommended 1×
  4. andreibondarev/langchainrb · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How to integrate AI agent capabilities directly into a Ruby on Rails application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. ruby-openai (openai/ruby-openai)
    3. LangChain.rb
    4. langchainrb (andreibondarev/langchainrb)
    5. Hugging Face Transformers (huggingface/transformers)
    6. Hugging Face Inference API
    7. Google Cloud AI Platform / Vertex AI
    8. google-cloud-ruby (googleapis/google-cloud-ruby)
    9. AWS AI Services
    10. Amazon Comprehend
    11. Amazon Rekognition
    12. Amazon Polly
    13. Amazon Bedrock
    14. aws-sdk-ruby (aws/aws-sdk-ruby)
    15. Llama.cpp (ggerganov/llama.cpp)

    AI recommended 15 alternatives but never named activeagents/activeagent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps build agent-oriented AI applications using object-oriented Ruby code?
    you: not recommended
    AI recommended (in order):
    1. Celluloid
    2. Concurrent-Ruby
    3. Ractor
    4. ActiveJob
    5. Sidekiq
    6. Resque
    7. EventMachine

    AI recommended 7 alternatives but never named activeagents/activeagent. 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 activeagents/activeagent?
    pass
    AI named activeagents/activeagent explicitly

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

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

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

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