RRepoGEO

REPOGEO REPORT · LITE

craft-ai-agents/craft-agents-oss

Default branch main · commit 4144f795 · scanned 5/19/2026, 2:16:32 PM

GitHub: 6,022 stars · 816 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
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 craft-ai-agents/craft-agents-oss, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A UI-driven, open-source platform for intuitive multitasking with AI agents, connecting to any API, and enabling a document-centric workflow without code editors.
  • highreadme#2
    Refine the README's opening to highlight UI-driven agent orchestration

    Why:

    CURRENT
    # Craft Agents
    COPY-PASTE FIX
    # Craft Agents: A UI-driven Platform for Intuitive AI Agent Orchestration
  • mediumtopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, agent-orchestration, ui-platform, no-code, low-code, agent-framework, multitasking, api-integration, claude-sdk, pi-sdk

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 craft-ai-agents/craft-agents-oss
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. microsoft/semantic-kernel · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to manage multiple AI agents effectively and connect them to various APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. Haystack (deepset-ai/haystack)
    5. OpenAI Assistants API
    6. FastAPI (tiangolo/fastapi)
    7. Flask (pallets/flask)
    8. Celery (celery/celery)
    9. RabbitMQ (rabbitmq/rabbitmq)
    10. Kafka (apache/kafka)
    11. Prefect (PrefectHQ/prefect)
    12. Apache Airflow (apache/airflow)

    AI recommended 12 alternatives but never named craft-ai-agents/craft-agents-oss. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a UI-driven platform to orchestrate AI agents with prompt-based customization.
    you: not recommended
    AI recommended (in order):
    1. LangChain UI (LangServe/LangChain Playground) (langchain-ai/langchain)
    2. FlowiseAI (FlowiseAI/Flowise)
    3. LlamaIndex (LlamaCloud/LlamaParse) (run-llama/llama_index)
    4. Microsoft Azure AI Studio
    5. Google Cloud Vertex AI Workbench/Generative AI Studio
    6. Humanloop
    7. Vellum

    AI recommended 7 alternatives but never named craft-ai-agents/craft-agents-oss. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 craft-ai-agents/craft-agents-oss?
    pass
    AI did not name craft-ai-agents/craft-agents-oss — likely talking about a different project

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

  • If a team adopts craft-ai-agents/craft-agents-oss in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name craft-ai-agents/craft-agents-oss — likely talking about a different project

    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 craft-ai-agents/craft-agents-oss solve, and who is the primary audience?
    pass
    AI named craft-ai-agents/craft-agents-oss explicitly

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

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craft-ai-agents/craft-agents-oss — 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