RRepoGEO

REPOGEO REPORT · LITE

SmythOS/sre

Default branch main · commit 5c382a1e · scanned 6/22/2026, 4:02:02 PM

GitHub: 1,280 stars · 198 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
    Clarify 'SRE' acronym in README and emphasize 'AI Agents'

    Why:

    CURRENT
    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
    This repository contains the **Smyth Runtime Environment** (SRE) – *a dedicated runtime for AI agents, not Site Reliability Engineering* – along with its Software Development Kit (SDK) and Command Line Interface (CLI) for building and managing intelligent agents.
  • mediumreadme#2
    Add a 'Why SmythOS/sre?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    Add a new section (e.g., 'Why SmythOS/sre for AI Agents?' or 'SmythOS/sre vs. General Orchestration Tools') that explicitly contrasts its agent-centric focus with general-purpose tools like Kubernetes, Ray, or MLflow. For example: 'Unlike general-purpose orchestration tools like Kubernetes or distributed computing frameworks like Ray, SmythOS/sre is purpose-built for the unique lifecycle and resource management needs of AI agents, providing OS-level abstractions specifically for LLMs, vector databases, and other AI resources.'
  • lowtopics#3
    Add more specific 'AI agent runtime' topics

    Why:

    CURRENT
    agent-framework, agents, agi, ai, ai-agents, artificial-intelligence, autogpt, autonomous-agents, chatgpt, langchain, llm, llmops, mcp, multi-agent, multi-agent-systems, n8n, openai, orchestration, rag, retrieval-augmented-generation
    COPY-PASTE FIX
    agent-framework, agents, agi, ai, ai-agents, ai-agent-runtime, ai-os, artificial-intelligence, autogpt, autonomous-agents, chatgpt, langchain, llm, llmops, llm-runtime, mcp, multi-agent, multi-agent-systems, n8n, openai, orchestration, agent-orchestration-platform, rag, retrieval-augmented-generation

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
Ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ray · recommended 2×
  2. OpenFaaS · recommended 2×
  3. Kubernetes · recommended 1×
  4. MLflow · recommended 1×
  5. Apache Airflow · recommended 1×
  • CATEGORY QUERY
    What open-source runtime environment helps manage and orchestrate production-ready AI agents across environments?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. MLflow
    3. Ray
    4. Apache Airflow
    5. KubeFlow
    6. OpenFaaS

    AI recommended 6 alternatives but never named SmythOS/sre. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to build secure, scalable multi-agent AI systems with unified resource management.
    you: not recommended
    AI recommended (in order):
    1. Ray
    2. Akka
    3. OpenFaaS
    4. Microsoft Orleans
    5. Celery

    AI recommended 5 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?

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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