RRepoGEO

REPOGEO REPORT · LITE

rivet-dev/agentos

Default branch main · commit 8a47689a · scanned 6/22/2026, 5:07:22 AM

GitHub: 3,030 stars · 151 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 rivet-dev/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 emphasize its role as an embeddable, secure AI agent runtime

    Why:

    CURRENT
    A portable open-source operating system for AI agents. Near-zero cold starts (~6 ms), up to 32x cheaper than sandboxes. Built-in ACP agents: Pi, Claude Code, and OpenCode
    COPY-PASTE FIX
    agentOS is a portable, open-source operating system designed for embedding high-performance, low-latency AI agent runtimes directly into your application backend. It offers near-zero cold starts (~6 ms) and up to 32x cheaper execution than traditional sandboxes, providing granular security for AI agents powered by WebAssembly and V8 isolates.
  • mediumtopics#2
    Add more specific topics to clarify the project's function and target use case

    Why:

    CURRENT
    agent, ai, javascript, llm, sandbox, v8, wasm, webassembly
    COPY-PASTE FIX
    agent, ai, javascript, llm, sandbox, v8, wasm, webassembly, runtime, embeddable, isolation, backend, serverless
  • lowreadme#3
    Clarify agentOS's relationship with AI agent frameworks in the README

    Why:

    COPY-PASTE FIX
    Add a sentence or short paragraph to the 'Why agentOS' or a new 'Integrations' section, clarifying that agentOS complements existing AI agent frameworks by providing the underlying high-performance, secure runtime for agents built with tools like LangChain or LlamaIndex, rather than replacing them.

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 rivet-dev/agentos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gVisor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gVisor · recommended 1×
  2. Kata Containers · recommended 1×
  3. Firecracker · recommended 1×
  4. WebAssembly (Wasm) / WebAssembly System Interface (WASI) · recommended 1×
  5. NSJail · recommended 1×
  • CATEGORY QUERY
    What are lightweight, secure alternatives to traditional sandboxes for running AI agents efficiently?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Kata Containers
    3. Firecracker
    4. WebAssembly (Wasm) / WebAssembly System Interface (WASI)
    5. NSJail
    6. Cloudflare Workers / Deno Deploy
    7. libseccomp

    AI recommended 7 alternatives but never named rivet-dev/agentos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I embed a high-performance, low-latency agent runtime directly into my application backend?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Function Calling/Tool Use
    6. CrewAI
    7. AutoGen

    AI recommended 7 alternatives but never named rivet-dev/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 rivet-dev/agentos?
    pass
    AI named rivet-dev/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 rivet-dev/agentos in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rivet-dev/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 rivet-dev/agentos solve, and who is the primary audience?
    pass
    AI named rivet-dev/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

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rivet-dev/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