RRepoGEO

REPOGEO REPORT · LITE

holaboss-ai/holaOS

Default branch main · commit f52b5804 · scanned 6/17/2026, 11:36:53 PM

GitHub: 5,515 stars · 388 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
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 holaboss-ai/holaOS, 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 HolaOS's unique 'OS for AI Agents' positioning in the README's opening

    Why:

    CURRENT
    HolaOS is your super agent for work: local-first, learn your working context in mins and never forget it, below are the key features:
    COPY-PASTE FIX
    HolaOS is your super agent for work: local-first, learn your working context in mins and never forget it. It functions as an Operating System for AI Agents, providing core services to manage, orchestrate, and provide foundational services for your AI agents. Below are the key features:
  • mediumtopics#2
    Add topics that emphasize the 'local-first' and 'platform' aspects for AI agents

    Why:

    CURRENT
    agent, agent-harness, agent-os, agentic, ai, ai-agent, ai-agents, artificial-intelligence, electron, holaboss, holaos, llm, mcp, memory, model-context-protocol, proactive, proactive-ai, runtime, typescript, workspace
    COPY-PASTE FIX
    agent, agent-harness, agent-os, agentic, ai, ai-agent, ai-agents, ai-platform, artificial-intelligence, electron, holaboss, holaos, llm, local-first-ai, mcp, memory, model-context-protocol, proactive, proactive-ai, runtime, typescript, workspace
  • lowlicense#3
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    This project is released under [Specify License Name(s) and terms, e.g., a custom license, or a combination of licenses like Apache-2.0 and MIT]. See the LICENSE file for full details.

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 holaboss-ai/holaOS
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Obsidian · recommended 1×
  4. Smart Connections · recommended 1×
  5. Text Generator · recommended 1×
  • CATEGORY QUERY
    How can I find a local-first AI assistant that learns my work context?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Smart Connections
    3. Text Generator
    4. Local GPT
    5. Ollama
    6. ChromaDB
    7. FAISS
    8. LanceDB
    9. LlamaIndex
    10. LangChain
    11. LM Studio
    12. GPT4All
    13. Jan.ai
    14. Llama 3
    15. Mixtral
    16. PrivateGPT
    17. ctransformers
    18. AnythingLLM

    AI recommended 18 alternatives but never named holaboss-ai/holaOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI agent frameworks offer persistent memory and proactive assistance for my workflow?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. Microsoft Semantic Kernel
    5. Haystack

    AI recommended 5 alternatives but never named holaboss-ai/holaOS. 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 holaboss-ai/holaOS?
    pass
    AI did not name holaboss-ai/holaOS — 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?

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

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

Embed your GEO score

Drop this badge into the README of holaboss-ai/holaOS. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/holaboss-ai/holaOS.svg)](https://repogeo.com/en/r/holaboss-ai/holaOS)
HTML
<a href="https://repogeo.com/en/r/holaboss-ai/holaOS"><img src="https://repogeo.com/badge/holaboss-ai/holaOS.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

holaboss-ai/holaOS — 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