RRepoGEO

REPOGEO REPORT · LITE

MiroMindAI/MiroFlow

Default branch main · commit 95857bc9 · scanned 5/12/2026, 10:18:10 PM

GitHub: 2,967 stars · 312 forks

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 MiroMindAI/MiroFlow, 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 the README's opening statement to clearly define MiroFlow's purpose

    Why:

    CURRENT
    This repo is the official implementation of the **MiroMind Research Agent Project**. It is a leading-performance, fully open-source system designed to perform multi-step internet research for addressing complex challenges such as future event prediction. The project currently comprises four key components:
    
    - 🤖 **MiroFlow**: an open-source research agent framework that offers reproducible state-of-the-art performance on representative benchmarks (e.g., FutureX, GAIA, HLE, xBench-DeepSearch, and BrowserComp benchmarks), included in this repo. See [[Get Started in Under 5 Minutes]](#-get-started-in-under-5-minutes) for a quick start.
    COPY-PASTE FIX
    MiroFlow is a leading-performance, open-source **AI research agent framework** designed for **multi-step internet research** and **complex problem solving**, including **future event prediction**. It offers reproducible state-of-the-art performance on benchmarks like FutureX, GAIA, HLE, xBench-DeepSearch, and BrowserComp. This repo is the official implementation of the MiroMind Research Agent Project, which currently comprises four key components:
    
    - 🤖 **MiroFlow**: an open-source research agent framework that offers reproducible state-of-the-art performance on representative benchmarks (e.g., FutureX, GAIA, HLE, xBench-DeepSearch, and BrowserComp benchmarks), included in this repo. See [[Get Started in Under 5 Minutes]](#-get-started-in-under-5-minutes) for a quick start.
  • mediumabout#2
    Optimize the 'About' description to explicitly state MiroFlow's function

    Why:

    CURRENT
    🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI
    COPY-PASTE FIX
    MiroFlow is a leading open-source AI research agent framework for multi-step internet research and complex problem solving. It achieves top-1 performance on 5+ benchmarks, features a Web UI, and supports MiroThinker, Claude, Kimi, and OpenAI.
  • lowtopics#3
    Expand repository topics with more descriptive and general terms

    Why:

    CURRENT
    agent-framework, agents, browsecomp, claude, deep-research, futurex, gaia, gpt-5, hle, research-agent, xbench
    COPY-PASTE FIX
    agent-framework, agents, browsecomp, claude, deep-research, futurex, gaia, gpt-5, hle, research-agent, xbench, ai-agent, internet-research, problem-solving, prediction, multi-step-reasoning, llm-agent

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 MiroMindAI/MiroFlow
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. AutoGPT · recommended 1×
  4. BabyAGI · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent for multi-step internet research and complex problem solving?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. CrewAI
    6. OpenAI API
    7. Anthropic Claude
    8. SerpAPI
    9. Google Search API

    AI recommended 9 alternatives but never named MiroMindAI/MiroFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performance open-source framework for deep internet research and future prediction.
    you: not recommended
    AI recommended (in order):
    1. Apache Spark
    2. TensorFlow Extended (TFX)
    3. Apache Flink
    4. Hugging Face Transformers
    5. Ray

    AI recommended 5 alternatives but never named MiroMindAI/MiroFlow. 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 MiroMindAI/MiroFlow?
    pass
    AI named MiroMindAI/MiroFlow explicitly

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

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