RRepoGEO

REPOGEO REPORT · LITE

Josh-XT/AGiXT

Default branch main · commit 3e9e90bb · scanned 5/14/2026, 3:56:33 AM

GitHub: 3,187 stars · 445 forks

AI VISIBILITY SCORE
40 /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
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 Josh-XT/AGiXT, 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 differentiate from frameworks

    Why:

    CURRENT
    > **AGiXT is a comprehensive AI automation platform that transforms how you interact with artificial intelligence. With 40+ built-in extensions, multi-provider support, and enterprise-grade features, AGiXT serves as the central nervous system for your digital and physical environments.**
    COPY-PASTE FIX
    > **AGiXT is a comprehensive AI automation platform, not just a framework or library. It transforms how you interact with artificial intelligence, serving as the central nervous system for your digital and physical environments with 40+ built-in extensions, multi-provider support, and enterprise-grade features.**
  • highreadme#2
    Add a dedicated comparison section to clarify positioning

    Why:

    COPY-PASTE FIX
    ## 🆚 AGiXT vs. AI Frameworks (LangChain, LlamaIndex, CrewAI)

Unlike traditional AI frameworks that provide libraries for building agents, AGiXT is a complete, ready-to-deploy automation platform. We offer a unified control plane for orchestrating multiple agents, managing complex workflows, and integrating diverse AI providers and real-world tools out-of-the-box, minimizing development effort and accelerating deployment.
  • mediumtopics#3
    Add more specific platform and orchestration topics

    Why:

    CURRENT
    agent-llm, agi, agixt, ai, artificial, automation, chromadb, intelligence, llama, llamacpp, llm, llmops, openai, python
    COPY-PASTE FIX
    agent-llm, agi, agixt, ai, artificial, automation, chromadb, intelligence, llama, llamacpp, llm, llmops, openai, python, ai-agent-platform, ai-orchestration, multi-agent-system, workflow-automation

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 Josh-XT/AGiXT
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. LlamaIndex · recommended 2×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    Looking for an AI agent platform to orchestrate complex tasks across multiple LLM providers.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. CrewAI
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named Josh-XT/AGiXT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source platforms for building comprehensive AI automation with adaptive memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. Open-Assistant
    5. Rasa
    6. AutoGen (microsoft/autogen)

    AI recommended 6 alternatives but never named Josh-XT/AGiXT. 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 Josh-XT/AGiXT?
    pass
    AI named Josh-XT/AGiXT explicitly

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

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

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

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Josh-XT/AGiXT — 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