RRepoGEO

REPOGEO REPORT · LITE

agiresearch/AIOS

Default branch main · commit 4171a8ea · scanned 6/26/2026, 12:11:57 AM

GitHub: 5,977 stars · 836 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)

3 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 agiresearch/AIOS, 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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, llm-agents, agent-orchestration, operating-system, multi-agent-systems, ai-kernel, agent-sdk, llm
  • highreadme#2
    Strengthen README's opening to highlight 'operating system' differentiator

    Why:

    CURRENT
    AIOS is the AI Agent Operating System, which embeds large language model (LLM) into the operating system and facilitates the development and deployment of LLM-based AI Agents. AIOS is designed to address problems (e.g., scheduling, context switch, memory management, storage management, tool management, Agent SDK management, etc.) during the development and deployment of LLM-based agents, towards a better AIOS-Agent ecosystem for agent developers and agent users. AIOS includes the AIOS Kernel (this AIOS repository) and the AIOS SDK (the Cerebrum repository). AIOS supports both Web UI and Terminal UI.
    COPY-PASTE FIX
    AIOS is the **AI Agent Operating System**, a foundational layer that embeds large language models (LLMs) directly into the OS to provide comprehensive system-level management for AI agents. Unlike traditional agent frameworks, AIOS offers an 'operating system' approach to address critical challenges like scheduling, context switching, memory, storage, and tool management, fostering a robust AIOS-Agent ecosystem. It comprises the AIOS Kernel (this repository) and the AIOS SDK (Cerebrum), supporting both Web and Terminal UIs for developing and deploying sophisticated LLM-based agents.
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is released under [Specify License Name(s) here, e.g., a custom license, or a combination of licenses like Apache-2.0 and MIT]. Please refer to 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 agiresearch/AIOS
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. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I efficiently manage and deploy multiple LLM-based AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Assistants API
    6. Kubernetes
    7. Ray

    AI recommended 7 alternatives but never named agiresearch/AIOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks simplify the development and orchestration of complex AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. CrewAI (joaomdmoura/crewAI)
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 6 alternatives but never named agiresearch/AIOS. 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 agiresearch/AIOS?
    pass
    AI named agiresearch/AIOS explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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agiresearch/AIOS — 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