RRepoGEO

REPOGEO REPORT · LITE

Yuan-lab-LLM/ClawManager

Default branch main · commit dae2f4e6 · scanned 5/23/2026, 8:31:42 PM

GitHub: 1,194 stars · 135 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 Yuan-lab-LLM/ClawManager, 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 specific AI agent and orchestration topics

    Why:

    CURRENT
    hermes, kubernetes, openclaw, webtop
    COPY-PASTE FIX
    hermes, kubernetes, openclaw, webtop, ai-agents, llm-agents, agent-orchestration, control-plane, kubernetes-native, multi-agent-systems, ai-management
  • highreadme#2
    Integrate core differentiator into README's opening paragraph

    Why:

    CURRENT
    A Kubernetes-native control plane for AI agent instance management, with governed AI access, runtime orchestration, and reusable resources across multiple agent runtimes.
    COPY-PASTE FIX
    ClawManager is a Kubernetes-native control plane specifically designed as a **dedicated and modular framework for the lifecycle and orchestration of AI agent instances.** It provides governed AI access, runtime orchestration, and reusable resources across multiple agent runtimes, enabling seamless management of complex, multi-agent systems.
  • mediumreadme#3
    Add a 'Why ClawManager?' section to clarify unique value

    Why:

    COPY-PASTE FIX
    ## Why ClawManager?
While platforms like Kubeflow and OpenShift AI offer general machine learning orchestration, ClawManager provides a dedicated and modular framework solely focused on the lifecycle and orchestration of tools for LLM agents. It is purpose-built for managing dynamic, multi-agent systems, offering specialized control over AI agent instances, their access, and shared resources.

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 Yuan-lab-LLM/ClawManager
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
KubeRay
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. KubeRay · recommended 2×
  2. Ray · recommended 2×
  3. OpenShift AI · recommended 2×
  4. Kubeflow · recommended 1×
  5. Kubeflow Pipelines · recommended 1×
  • CATEGORY QUERY
    How to manage and orchestrate multiple AI agent instances on Kubernetes?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. Kubeflow Pipelines
    3. KServe
    4. Katib
    5. Argo Workflows
    6. KubeRay
    7. Ray
    8. OpenShift AI
    9. Seldon Core

    AI recommended 9 alternatives but never named Yuan-lab-LLM/ClawManager. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a control plane for governed AI access and shared resources across agent runtimes.
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. KubeFlow
    3. OpenShift AI
    4. MLflow
    5. Docker Swarm
    6. Ray
    7. KubeRay
    8. Azure Machine Learning
    9. Google Cloud Vertex AI
    10. AWS SageMaker
    11. HashiCorp Nomad
    12. Consul

    AI recommended 12 alternatives but never named Yuan-lab-LLM/ClawManager. 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 Yuan-lab-LLM/ClawManager?
    pass
    AI named Yuan-lab-LLM/ClawManager explicitly

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

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

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

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MARKDOWN (README)
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Yuan-lab-LLM/ClawManager — 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