RRepoGEO

REPOGEO REPORT · LITE

SpharxTeam/AgentOS

Default branch main · commit 81adae11 · scanned 5/10/2026, 3:26:45 AM

GitHub: 1,079 stars · 118 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 SpharxTeam/AgentOS, 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 the README's opening paragraph to state core value proposition immediately

    Why:

    CURRENT
    > The seminal fourth "Operating System Philosophy" in human computing history.
    COPY-PASTE FIX
    AgentOS is an intelligent agent operating system that provides comprehensive OS-level support for orchestrating agent teams. It delivers 200K+ context, 10M memory, 1000h tasks at 99.1% accuracy, 80% token reduction, and 5× industry efficiency, with native compatibility for OpenClaw, openJiuwen, LangChain, Claude & OpenAI APIs.
  • hightopics#2
    Add more specific topics related to AI agent orchestration and management

    Why:

    CURRENT
    ai, assistant, non-langchain-wrapper, os, own-your-data
    COPY-PASTE FIX
    ai, assistant, non-langchain-wrapper, os, own-your-data, agent-orchestration, autonomous-agents, llm-agents, ai-agents
  • mediumreadme#3
    Add a dedicated 'Why AgentOS?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section (e.g., 'Why AgentOS?' or 'Comparison') that explicitly highlights AgentOS's differentiator as a holistic operating system for autonomous AI agents, contrasting it with frameworks/libraries like LangChain, LlamaIndex, and CrewAI.

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 SpharxTeam/AgentOS
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. Microsoft Semantic Kernel · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Prefect · recommended 1×
  • CATEGORY QUERY
    What tools help manage and orchestrate multiple AI agents for complex, long-running tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. OpenAI Assistants API
    5. Prefect
    6. Apache Airflow

    AI recommended 6 alternatives but never named SpharxTeam/AgentOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient AI agent framework with OS-level capabilities for better data control and performance.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT (Significant-Gravitas/AutoGPT)
    2. BabyAGI (yoheinakajima/babyagi)
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. CrewAI (joaomdmoura/crewAI)
    6. Open Interpreter (KillianLucas/open-interpreter)

    AI recommended 6 alternatives but never named SpharxTeam/AgentOS. 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 SpharxTeam/AgentOS?
    pass
    AI named SpharxTeam/AgentOS explicitly

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

  • If a team adopts SpharxTeam/AgentOS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SpharxTeam/AgentOS 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 SpharxTeam/AgentOS solve, and who is the primary audience?
    pass
    AI named SpharxTeam/AgentOS 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 SpharxTeam/AgentOS. 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/SpharxTeam/AgentOS.svg)](https://repogeo.com/en/r/SpharxTeam/AgentOS)
HTML
<a href="https://repogeo.com/en/r/SpharxTeam/AgentOS"><img src="https://repogeo.com/badge/SpharxTeam/AgentOS.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

SpharxTeam/AgentOS — 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