RRepoGEO

REPOGEO REPORT · LITE

coder/mux

Default branch main · commit da7ff65b · scanned 5/17/2026, 11:37:39 PM

GitHub: 1,751 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
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 coder/mux, 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
    Clarify README's opening to explicitly state AI agent focus and differentiate from remote dev platforms

    Why:

    CURRENT
    Mux is a desktop & browser application for parallel agentic development. It enables developers to plan and execute tasks with multiple AI agents on local or remote compute.
    COPY-PASTE FIX
    Mux is an AI agent orchestration and development environment, delivered as a desktop & browser application for parallel agentic development. It enables developers to plan and execute tasks with multiple AI agents on local or remote compute, and is distinct from remote development platforms or network proxies.
  • mediumtopics#2
    Add more specific AI agent-related topics

    Why:

    CURRENT
    agent, ide
    COPY-PASTE FIX
    ai-agents, agentic-ai, multi-agent-systems, llm-development, agent-orchestration, ide, desktop-app
  • lowreadme#3
    Add a 'Why Mux?' or comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Mux? Mux stands out from other AI agent frameworks like CrewAI or AutoGPT by offering a dedicated desktop and browser application for parallel agentic development. It provides isolated workspaces, a rich UI for managing multiple agents, VS Code integration, and multi-LLM support, focusing on a complete development environment rather than just a library.

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 coder/mux
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 2×
  2. AutoGPT · recommended 2×
  3. LangChain · recommended 2×
  4. AgentGPT · recommended 1×
  5. SuperAGI · recommended 1×
  • CATEGORY QUERY
    What desktop application helps orchestrate multiple AI agents for isolated coding tasks?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGPT
    3. AgentGPT
    4. SuperAGI
    5. LangChain
    6. Open Interpreter
    7. Smol-Developer
    8. BabyAGI

    AI recommended 8 alternatives but never named coder/mux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent development environment with multi-LLM support and remote execution capabilities.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. AutoGPT
    6. CrewAI
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named coder/mux. 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 coder/mux?
    pass
    AI named coder/mux explicitly

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

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

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

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coder/mux — 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