REPOGEO REPORT · LITE

standardagents/dmux

Default branch main · commit 67cd2b6e · scanned 6/25/2026, 3:19:43 AM

GitHub: 1,667 stars · 131 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)

3 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 standardagents/dmux, 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 paragraph to clarify its interactive, local developer tool nature

Why:

CURRENT

<p align="center"> Manage multiple AI coding agents in isolated git worktrees.<br/> Branch, develop, and merge &mdash; all in parallel.</p>

COPY-PASTE FIX

<p align="center"> An interactive CLI for local AI agent development, enabling parallel work with coding agents in isolated git worktrees.<br/> Branch, develop, and merge &mdash; all in parallel.</p>

mediumtopics#2

Add 'developer-tool' and 'local-development' to repository topics

Why:

CURRENT

agentic-workflow, ai, ai-agents, cli, coding-agents, coordinator, orchestration

COPY-PASTE FIX

agentic-workflow, ai, ai-agents, cli, coding-agents, coordinator, orchestration, developer-tool, local-development

lowreadme#3

Add a 'Comparison' section to the README

Why:

COPY-PASTE FIX

## Comparison

dmux is an interactive CLI for local AI agent development, not a CI/CD pipeline (like GitHub Actions or Jenkins), a backend message queue (like RabbitMQ or Kafka), or a general-purpose agent framework (like LangChain). It focuses on providing isolated, parallel development environments for coding agents directly on your machine.

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 standardagents/dmux

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

GitHub Actions

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

GitHub Actions · recommended 2×
LangChain · recommended 1×
RabbitMQ · recommended 1×
Apache Kafka · recommended 1×
PostgreSQL · recommended 1×

CATEGORY QUERY
How to manage multiple AI coding agents working on separate features simultaneously?
you: not recommended
AI recommended (in order):
1. LangChain
2. RabbitMQ
3. Apache Kafka
4. PostgreSQL
5. MongoDB
6. AutoGPT
7. GitHub Copilot Workspace
8. OpenAI API
9. Anthropic Claude
10. Google Gemini
11. Git
12. CrewAI
13. Smol-developer
14. Azure DevOps
15. GitHub Actions
AI recommended 15 alternatives but never named standardagents/dmux. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool to orchestrate AI development agents across isolated git branches or worktrees?
you: not recommended
AI recommended (in order):
1. GitHub Actions
2. GitLab CI/CD
3. Jenkins (jenkinsci/jenkins)
4. Argo Workflows (argoproj/argo-workflows)
5. Apache Airflow (apache/airflow)
6. Dagster (dagster-io/dagster)
7. Prefect (PrefectHQ/prefect)
AI recommended 7 alternatives but never named standardagents/dmux. 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 standardagents/dmux?
pass
AI named standardagents/dmux explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts standardagents/dmux in production, what risks or prerequisites should they evaluate first?
pass
AI named standardagents/dmux 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 standardagents/dmux solve, and who is the primary audience?
pass
AI named standardagents/dmux explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Pro

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standardagents/dmux — 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