RRepoGEO

REPOGEO REPORT · LITE

open-jarvis/OpenJarvis

Default branch main · commit eb46feba · scanned 6/18/2026, 1:56:45 AM

GitHub: 6,827 stars · 1,486 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 open-jarvis/OpenJarvis, 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:

    COPY-PASTE FIX
    personal-ai, local-ai, on-device-ai, ai-framework, ai-agents, llm-agents, edge-ai, privacy-first, open-source
  • highreadme#2
    Strengthen the README's opening statement to clarify project identity

    Why:

    CURRENT
    The README excerpt shows the first meaningful text after the description as 'Why OpenJarvis? Personal AI agents are exploding in popularity...'
    COPY-PASTE FIX
    Insert a sentence like: 'OpenJarvis is an open-source framework for building local-first personal AI agents, designed to run on your own devices without cloud dependency.' right after the initial description/title in the README.
  • mediumcomparison#3
    Add a 'Comparison' or 'Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## How OpenJarvis Compares' or '## Differentiators', explaining how it differs from simple LLM runners (like Ollama/LM Studio) and low-level ML deployment tools (like TensorFlow Lite/Core ML) by focusing on its role as an *agent framework*.

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 open-jarvis/OpenJarvis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 1×
  2. TensorFlow Lite · recommended 1×
  3. PyTorch Mobile · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. MediaPipe · recommended 1×
  • CATEGORY QUERY
    Seeking a framework for building on-device AI assistants without cloud dependency.
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. TensorFlow Lite
    3. PyTorch Mobile
    4. ONNX Runtime
    5. MediaPipe
    6. ML.NET

    AI recommended 6 alternatives but never named open-jarvis/OpenJarvis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What software stack enables private, local-first AI assistants for personal use?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. AnythingLLM
    6. PrivateGPT
    7. Home Assistant
    8. Whisper.cpp
    9. Bark.cpp

    AI recommended 9 alternatives but never named open-jarvis/OpenJarvis. 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 open-jarvis/OpenJarvis?
    pass
    AI named open-jarvis/OpenJarvis explicitly

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

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

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

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open-jarvis/OpenJarvis — 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