RRepoGEO

REPOGEO REPORT · LITE

SmythOS/sre

Default branch main · commit 5c382a1e · scanned 5/12/2026, 9:52:37 AM

GitHub: 1,264 stars · 192 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 SmythOS/sre, 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
    Add explicit disambiguation for "SRE" in the README's opening

    Why:

    CURRENT
    This repository contains the **Smyth Runtime Environment** Kernel (SRE)...
    COPY-PASTE FIX
    This repository contains the **Smyth Runtime Environment** Kernel (SRE) – *not* Site Reliability Engineering – along with the **Software Development Kit** (SDK) and **Command Line Interface** (CLI) for running and creating AI agents.
  • mediumreadme#2
    Rewrite README's introductory paragraph to highlight core value proposition

    Why:

    CURRENT
    Reliable Agent Engineering starts with great, open source infrastructure. This repository contains the **Smyth Runtime Environment** Kernel (SRE), the **Software Development Kit** (SDK) and **Command Line Interface** (CLI) for running agents and creating them with code.
    COPY-PASTE FIX
    Reliable Agent Engineering starts with great, open source infrastructure. This repository contains the **Smyth Runtime Environment** Kernel (SRE), the **Software Development Kit** (SDK) and **Command Line Interface** (CLI) for running and creating AI agents. SmythOS/sre provides OS-level abstractions for AI resources—LLMs, vector databases, storage, and caching—with a unified API that works identically across all providers, enabling you to write agent logic once and scale it anywhere.
  • lowreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Create a new section in the README, e.g., "SmythOS/sre vs. [Kubernetes/KubeEdge/LangChain/AutoGen]", explaining how SmythOS/sre complements or differs from these tools in the context of AI agent deployment and orchestration.

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 SmythOS/sre
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubernetes (K8s)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubernetes (K8s) · recommended 1×
  2. K3s · recommended 1×
  3. MicroK8s · recommended 1×
  4. Open Horizon · recommended 1×
  5. KubeEdge · recommended 1×
  • CATEGORY QUERY
    What open-source runtime environment helps deploy and manage AI agents across cloud and edge?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (K8s)
    2. K3s
    3. MicroK8s
    4. Open Horizon
    5. KubeEdge

    AI recommended 5 alternatives but never named SmythOS/sre. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an SDK to build and orchestrate autonomous multi-agent systems with unified LLM APIs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. Haystack
    6. Mirascope

    AI recommended 6 alternatives but never named SmythOS/sre. 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 SmythOS/sre?
    pass
    AI named SmythOS/sre explicitly

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

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