RRepoGEO

REPOGEO REPORT · LITE

codejunkie99/agentic-stack

Default branch master · commit 00eda65c · scanned 5/26/2026, 2:37:08 PM

GitHub: 2,035 stars · 254 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 codejunkie99/agentic-stack, 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:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-orchestration, llm-tools, developer-tools, memory-management, skills-management, coding-assistant, portable-agents
  • highabout#2
    Refine the 'About' description to emphasize agent portability and tool type

    Why:

    CURRENT
    One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch.
    COPY-PASTE FIX
    A CLI tool for agent portability: manage a single .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python, keeping knowledge consistent across environments.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/codejunkie99/agentic-stack

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 codejunkie99/agentic-stack
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. Pinecone · recommended 1×
  3. Weaviate · recommended 1×
  4. ChromaDB · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to maintain agent memory and skills across different AI coding environments?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. ChromaDB
    5. LlamaIndex
    6. Milvus
    7. Qdrant
    8. FAISS
    9. OpenAI Assistants API
    10. Annoy
    11. Git

    AI recommended 11 alternatives but never named codejunkie99/agentic-stack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a system to generate training data from successful AI agent coding sessions.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. DeepMind Lab
    3. Unity ML-Agents
    4. PyGame
    5. Puppeteer
    6. Selenium
    7. Gazebo

    AI recommended 7 alternatives but never named codejunkie99/agentic-stack. 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 codejunkie99/agentic-stack?
    pass
    AI named codejunkie99/agentic-stack explicitly

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

  • If a team adopts codejunkie99/agentic-stack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codejunkie99/agentic-stack 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 codejunkie99/agentic-stack solve, and who is the primary audience?
    pass
    AI named codejunkie99/agentic-stack explicitly

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

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codejunkie99/agentic-stack — 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