RRepoGEO

REPOGEO REPORT · LITE

docker/compose-for-agents

Default branch main · commit 630b35e7 · scanned 6/11/2026, 6:07:22 PM

GitHub: 975 stars · 431 forks

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 docker/compose-for-agents, 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's opening to clarify purpose and differentiate

    Why:

    COPY-PASTE FIX
    # Compose for Agents Demos

This repository provides a curated collection of ready-to-use Docker Compose examples for building and orchestrating multi-agent AI systems. It focuses on demonstrating how to integrate open-source LLMs, tools, and agent runtimes using Docker Compose, offering practical templates for developers working with AI agents.

## Prerequisites
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    agentic-workflows, ai-agents, docker, docker-compose, examples, large-language-models, llama-cpp, openai-gym, self-hosted
    COPY-PASTE FIX
    agentic-workflows, ai-agents, docker, docker-compose, examples, large-language-models, llama-cpp, openai-gym, self-hosted, ai-agent-orchestration, llm-examples, multi-agent-systems, docker-compose-examples, generative-ai
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/docker/compose-for-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 docker/compose-for-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
docker/compose
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. docker/compose · recommended 1×
  2. kubernetes/minikube · recommended 1×
  3. k3s-io/k3s · recommended 1×
  4. containers/podman-compose · recommended 1×
  5. rancher-sandbox/rancher-desktop · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI agent components using containers on a local machine?
    you: not recommended
    AI recommended (in order):
    1. Docker Compose (docker/compose)
    2. Minikube (kubernetes/minikube)
    3. K3s (k3s-io/k3s)
    4. Podman Compose (containers/podman-compose)
    5. Rancher Desktop (rancher-sandbox/rancher-desktop)

    AI recommended 5 alternatives but never named docker/compose-for-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking ready-to-use examples for building self-hosted large language model agent systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. MemGPT

    AI recommended 6 alternatives but never named docker/compose-for-agents. 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 docker/compose-for-agents?
    pass
    AI named docker/compose-for-agents explicitly

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

  • If a team adopts docker/compose-for-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named docker/compose-for-agents 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 docker/compose-for-agents solve, and who is the primary audience?
    pass
    AI named docker/compose-for-agents 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
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