RRepoGEO

REPOGEO REPORT · LITE

i-am-bee/agentstack

Default branch main · commit 79c78604 · scanned 6/23/2026, 10:51:17 AM

GitHub: 1,125 stars · 181 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
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 i-am-bee/agentstack, 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 README H1/H4 to clarify specific niche

    Why:

    CURRENT
    <h1 align="center">
  Agent Stack
</h1>
...
<h4 align="center">Open infrastructure for turning AI agents into running services in minutes. </h4>
    COPY-PASTE FIX
    <h1 align="center">
  Agent Stack: Open Infrastructure for AI Agent Deployment
</h1>
...
<h4 align="center">Deploy, run, and manage AI agents as robust, vendor-agnostic services. </h4>
  • hightopics#2
    Add relevant GitHub topics

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-framework, agent-deployment, llm-agents, open-infrastructure, vendor-lock-in, a2a-protocol, linux-foundation
  • mediumreadme#3
    Strengthen README's initial problem/solution statement

    Why:

    CURRENT
    Agent Stack is open infrastructure for turning AI agents into running services in minutes. Run agents locally or in your environment, wire them into your app over HTTP, and ship agent-powered features without building deployment infrastructure from scratch. Built on the Agent2Agent (A2A) Protocol and hosted by the **Linux Foundation**, Agent Stack ensures you aren't locked into a proprietary vendor's ecosystem.
    COPY-PASTE FIX
    Tired of complex development and deployment for your AI agents? Agent Stack provides open infrastructure to turn your AI agents into running services in minutes. Run agents locally or in your environment, wire them into your app over HTTP, and ship agent-powered features without building deployment infrastructure from scratch. Built on the Agent2Agent (A2A) Protocol and hosted by the **Linux Foundation**, Agent Stack ensures you aren't locked into a proprietary vendor's ecosystem.

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 i-am-bee/agentstack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubernetes
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubernetes · recommended 2×
  2. Kubeflow · recommended 2×
  3. AWS SageMaker · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Azure Machine Learning · recommended 1×
  • CATEGORY QUERY
    How can I deploy and serve AI agents as robust, accessible application services?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Kubeflow
    3. AWS SageMaker
    4. Google Cloud Vertex AI
    5. Azure Machine Learning
    6. Hugging Face Inference Endpoints
    7. Ray Serve
    8. FastAPI
    9. Docker
    10. Nginx
    11. Caddy

    AI recommended 11 alternatives but never named i-am-bee/agentstack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open infrastructure to run and integrate AI agents without proprietary vendor lock-in.
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Kubeflow
    3. OpenShift
    4. Apache Mesos
    5. Marathon
    6. Aurora
    7. OpenStack
    8. Docker Swarm
    9. Nomad

    AI recommended 9 alternatives but never named i-am-bee/agentstack. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 i-am-bee/agentstack?
    pass
    AI named i-am-bee/agentstack explicitly

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

  • If a team adopts i-am-bee/agentstack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named i-am-bee/agentstack 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 i-am-bee/agentstack solve, and who is the primary audience?
    pass
    AI named i-am-bee/agentstack explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite