RRepoGEO

REPOGEO REPORT · LITE

rivet-dev/agent-os

Default branch main · commit ece7ce6f · scanned 5/25/2026, 7:26:56 PM

GitHub: 2,938 stars · 136 forks

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 rivet-dev/agent-os, 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 agentOS's unique positioning in the README's opening

    Why:

    CURRENT
    The current README opening is a centered paragraph.
    COPY-PASTE FIX
    ## agentOS: The In-Process Operating System for AI Agents

agentOS is a portable, open-source operating system designed specifically for AI agents, running directly within your application process. Unlike traditional cloud VMs, containers, or full Linux sandboxes, agentOS provides near-zero cold starts (~6 ms) and significantly lower execution costs by leveraging WebAssembly and V8 isolates. It offers granular security and direct host tool integration, making it ideal for embedding sophisticated AI agents without the overhead of external infrastructure.
  • highreadme#2
    Add a statement clarifying the programming model to counter AI hallucination

    Why:

    COPY-PASTE FIX
    Add a sentence to the README, perhaps in the 'Why agentOS' or a new 'How it works' section: 'agentOS provides a programmatic API for defining and orchestrating AI agent workflows, focusing on in-process execution and direct integration, rather than a visual or graph-based interface.'
  • mediumtopics#3
    Add more specific keywords to repository topics

    Why:

    CURRENT
    agent, ai, javascript, llm, sandbox, v8, wasm, webassembly
    COPY-PASTE FIX
    agent, ai, javascript, llm, sandbox, v8, wasm, webassembly, ai-workloads, low-latency, secure-execution, in-process-agents

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/agent-os
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Lambda
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 1×
  2. Google Cloud Run · recommended 1×
  3. Azure Container Apps · recommended 1×
  4. Kubernetes · recommended 1×
  5. Fly.io · recommended 1×
  • CATEGORY QUERY
    How to run AI agents with near-zero cold starts and low execution overhead?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Google Cloud Run
    3. Azure Container Apps
    4. Kubernetes
    5. Fly.io
    6. Vercel
    7. Render

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

    Show full AI answer
  • CATEGORY QUERY
    What are secure, lightweight alternatives to traditional sandboxes for executing AI workloads?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Kata Containers
    3. Firecracker
    4. WebAssembly (Wasm) with WASI
    5. NSjail
    6. Intel SGX
    7. AMD SEV

    AI recommended 7 alternatives but never named rivet-dev/agent-os. 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/agent-os?
    pass
    AI named rivet-dev/agent-os 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/agent-os in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rivet-dev/agent-os 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/agent-os solve, and who is the primary audience?
    pass
    AI did not name rivet-dev/agent-os — 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?

Embed your GEO score

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MARKDOWN (README)
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rivet-dev/agent-os — 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