RRepoGEO

REPOGEO REPORT · LITE

docker/docker-agent

Default branch main · commit ae603cee · scanned 5/20/2026, 4:06:18 PM

GitHub: 2,925 stars · 361 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 docker/docker-agent, 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 a prominent, explicit statement correcting AI's misinformation about project status and function.

    Why:

    COPY-PASTE FIX
    Add this text immediately after the main tagline/description:
"**Important Clarification:** This `docker/docker-agent` project is an active, maintained open-source tool for building and running AI agents. It is NOT deprecated, nor is it a Docker host management tool or an internal Docker Desktop component for security scanning. It is a standalone CLI plugin for AI agent development."
  • hightopics#2
    Add more specific topics to align with AI agent builder category.

    Why:

    CURRENT
    agents, ai
    COPY-PASTE FIX
    agents, ai, multi-agent-systems, ai-agents, agent-orchestration, no-code-ai, declarative-ai, llm-agents, docker-cli-plugin
  • mediumreadme#3
    Add a 'Why Docker Agent?' section to highlight core differentiators.

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps after 'Key Features':
"## Why Docker Agent?
Unlike code-heavy LLM frameworks, Docker Agent empowers developers and non-developers alike to build sophisticated multi-agent systems using simple, declarative YAML. It focuses on orchestration, tool integration, and shareability via OCI registries, making complex AI agent deployments accessible and versionable without writing custom code."

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/docker-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to build and orchestrate AI agents using a declarative configuration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. CrewAI

    AI recommended 6 alternatives but never named docker/docker-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best no-code platforms for creating intelligent multi-agent systems with custom tools?
    you: not recommended
    AI recommended (in order):
    1. Voiceflow
    2. Zapier Interfaces
    3. Bubble
    4. Make
    5. Airtable
    6. Pipedream

    AI recommended 6 alternatives but never named docker/docker-agent. 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 docker/docker-agent?
    pass
    AI named docker/docker-agent 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/docker-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named docker/docker-agent 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/docker-agent solve, and who is the primary audience?
    pass
    AI named docker/docker-agent 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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docker/docker-agent — 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