RRepoGEO

REPOGEO REPORT · LITE

Forsy-AI/agent-apprenticeship

Default branch main · commit cb98c50d · scanned 6/22/2026, 10:32:05 PM

GitHub: 680 stars · 44 forks

AI VISIBILITY SCORE
33 /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
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 Forsy-AI/agent-apprenticeship, 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
    Clarify Agent Apprenticeship's unique focus in the README's opening

    Why:

    CURRENT
    The living ecosystem where AI agents learn from real-world work through iterative workflow loops, reusable experience, and collective training signal exchange.
    COPY-PASTE FIX
    Agent Apprenticeship is the open infrastructure and living ecosystem where AI agents learn from real-world work through iterative workflow loops, reusable experience, and collective training signal exchange. It provides a structured, curriculum-based approach for agent skill development, distinct from general agent orchestration frameworks.
  • mediumtopics#2
    Add more specific topics emphasizing agent learning and experience

    Why:

    CURRENT
    agent-apprenticeship, agent-economy, agent-experience, agent-learning, agent-traces, agentic-ai, ai-agents, autonomous-agents, claude-code, codex, cursor, ecosystem-learning, hermes-agent, loop-engineering, openclaw, opencode, post-training, real-world-tasks, reinforcement-learning, training-signals
    COPY-PASTE FIX
    agent-apprenticeship, agent-economy, agent-experience, agent-learning, agent-traces, agentic-ai, ai-agents, autonomous-agents, claude-code, codex, cursor, ecosystem-learning, hermes-agent, loop-engineering, openclaw, opencode, post-training, real-world-tasks, reinforcement-learning, training-signals, agent-training, agent-skill-development, iterative-learning, experience-sharing, collective-intelligence, agent-curriculum
  • lowreadme#3
    Add a 'Why Agent Apprenticeship?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Agent Apprenticeship?
    
    Agent Apprenticeship offers a structured, iterative, and curriculum-based approach to AI agent skill development and refinement, explicitly mimicking a human apprenticeship model. Unlike general agent orchestration frameworks, our focus is on enabling agents to continuously learn, improve, and share reusable experiences from real-world task execution.

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 Forsy-AI/agent-apprenticeship
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. OpenAI GPT-4 · recommended 1×
  3. Anthropic Claude 3 Opus · recommended 1×
  4. AutoGPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I build autonomous AI agents that learn and improve from real-world task execution?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. Anthropic Claude 3 Opus
    4. AutoGPT
    5. BabyAGI
    6. Hugging Face Transformers Agents
    7. Microsoft AutoGen
    8. RLHF
    9. DPO
    10. DeepMind's AlphaCode 2
    11. Google's Gemini

    AI recommended 11 alternatives but never named Forsy-AI/agent-apprenticeship. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to manage AI agent learning, experience exchange, and workflow loops.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    7. OpenAI Assistants API
    8. Rasa (RasaHQ/rasa)

    AI recommended 8 alternatives but never named Forsy-AI/agent-apprenticeship. 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 Forsy-AI/agent-apprenticeship?
    pass
    AI named Forsy-AI/agent-apprenticeship explicitly

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

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