RRepoGEO

REPOGEO REPORT · LITE

Emiyaaaaa/HiveMind

Default branch main · commit d03a8c76 · scanned 6/29/2026, 2:17:53 PM

GitHub: 1,073 stars · 108 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
30 /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
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 Emiyaaaaa/HiveMind, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise About description for AgentFlow

    Why:

    COPY-PASTE FIX
    AgentFlow (Emiyaaaaa/HiveMind) is a Python-first runtime layer for multi-agent systems, providing persistent state, streaming events, and a consistent execution model for frameworks like LangGraph, AutoGen, or CrewAI.
  • mediumreadme#2
    Reinforce AgentFlow's role in the multi-agent ecosystem in the README opening

    Why:

    CURRENT
    > A Python-first runtime layer for multi-agent systems, with persistent run state, streaming execution events, and a pluggable orchestration interface.
    COPY-PASTE FIX
    > AgentFlow is a Python-first runtime layer specifically designed for multi-agent systems, providing essential infrastructure like persistent run state, streaming execution events, and a pluggable orchestration interface. It complements, rather than replaces, existing agent frameworks.

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 Emiyaaaaa/HiveMind
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Kafka
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Kafka · recommended 1×
  2. Confluent Platform · recommended 1×
  3. Kafka Connect · recommended 1×
  4. Schema Registry · recommended 1×
  5. ksqlDB · recommended 1×
  • CATEGORY QUERY
    How to add persistent run state and event streaming to my Python agent system?
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka
    2. Confluent Platform
    3. Kafka Connect
    4. Schema Registry
    5. ksqlDB
    6. RabbitMQ

    AI recommended 6 alternatives but never named Emiyaaaaa/HiveMind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer a consistent execution model for existing multi-agent frameworks?
    you: not recommended
    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 Emiyaaaaa/HiveMind?
    pass
    AI named Emiyaaaaa/HiveMind explicitly

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

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

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

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Emiyaaaaa/HiveMind — 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