RRepoGEO

REPOGEO REPORT · LITE

tinyflow-ai/tinyflow

Default branch main · commit 2db6491d · scanned 6/11/2026, 2:17:03 AM

GitHub: 677 stars · 78 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
28 /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
2 / 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 tinyflow-ai/tinyflow, 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 to clearly state purpose in English

    Why:

    CURRENT
    # Tinyflow
Tinyflow 是一个轻量的 AI 智能体解决方案，她不是一个 ”产品“，而是一个开发组件。
    COPY-PASTE FIX
    # Tinyflow: A Lightweight AI Agent Orchestration Component
  • hightopics#2
    Add relevant topics for AI agent orchestration

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-orchestration, workflow-engine, web-components, java, python, nodejs, llm, knowledge-base
  • mediumreadme#3
    Expand README introduction to clarify target audience and use cases

    Why:

    CURRENT
    Tinyflow 是一个轻量的 AI 智能体解决方案，她不是一个 ”产品“，而是一个开发组件。通过集成 Tinyflow，您可以使得任何的传统应用，具备 AI 智能体编排的能力。
    COPY-PASTE FIX
    Tinyflow is a lightweight, embeddable AI agent orchestration component, designed for developers. It enables any traditional application (Java, Python, Node.js, etc.) to integrate powerful AI agent workflow capabilities, transforming existing systems with intelligent automation.

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 tinyflow-ai/tinyflow
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. LangChain4j · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to embed AI agent orchestration capabilities into existing Java or Python applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangChain4j
    3. LlamaIndex
    4. Haystack
    5. AutoGen
    6. Spring AI
    7. Semantic Kernel
    8. OpenAI API
    9. Google Gemini API
    10. Anthropic Claude API
    11. openai
    12. google-generativeai
    13. anthropic
    14. openai-java
    15. google-cloud-java

    AI recommended 15 alternatives but never named tinyflow-ai/tinyflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What UI components are available for designing AI agent workflows in a web application?
    you: not recommended
    AI recommended (in order):
    1. React Flow (xyflow/react-flow)
    2. GoJS
    3. JointJS (clientIO/joint)
    4. mxGraph (jgraph/mxgraph)
    5. D3.js (d3/d3)
    6. X6 (ant-design/x6)

    AI recommended 6 alternatives but never named tinyflow-ai/tinyflow. 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 tinyflow-ai/tinyflow?
    pass
    AI did not name tinyflow-ai/tinyflow — 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 tinyflow-ai/tinyflow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tinyflow-ai/tinyflow 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 tinyflow-ai/tinyflow solve, and who is the primary audience?
    pass
    AI named tinyflow-ai/tinyflow explicitly

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

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tinyflow-ai/tinyflow — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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