REPOGEO REPORT · LITE

standardagents/dmux

Default branch main · commit 241ba5d9 · scanned 5/14/2026, 2:03:14 PM

GitHub: 1,556 stars · 118 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 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 core value proposition to emphasize local developer environment

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">
  dmux is a CLI tool for developers to manage multiple AI coding agents locally, providing isolated git worktrees for parallel development. Branch, develop, and merge &mdash; all in parallel.
</p>

hightopics#2

Add more specific topics related to git worktrees and local development

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, git-worktrees, local-development, isolated-environments, developer-tool, tmux

mediumreadme#3

Add a 'Why dmux?' or 'How is dmux different?' section to the README

Why:

COPY-PASTE FIX

## Why dmux? How it's different

dmux provides a unique approach to managing AI coding agents by focusing on **local, isolated development environments** using `git worktrees` and `tmux`.

*   **Not a CI/CD system:** Unlike GitLab CI/CD or GitHub Actions, dmux is a developer tool for your local machine, enabling parallel agent work without complex pipeline configurations.
*   **Not a containerization tool:** While it provides isolation, dmux uses `git worktrees` and `tmux` for lightweight, git-native isolation, distinct from Docker's container-based approach.
*   **Not an agent framework:** dmux orchestrates existing AI agents (like Claude Code, Copilot CLI) within isolated environments, rather than providing a framework for building new agents (like LangChain or CrewAI). It's about *managing* agents, not *creating* them.

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

Docker

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Docker · recommended 2×
langchain-ai/langchain · recommended 1×
joaomdmoura/crewAI · recommended 1×
GitHub · recommended 1×
GitLab · recommended 1×

CATEGORY QUERY
How to manage multiple AI coding agents working on separate features concurrently?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. CrewAI (joaomdmoura/crewAI)
3. GitHub
4. GitLab
5. Bitbucket
6. Docker
7. Kubernetes (kubernetes/kubernetes)
8. Jira
9. Trello
10. Asana
11. Slack
12. Microsoft Teams
13. Discord
AI recommended 13 alternatives but never named standardagents/dmux. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool for orchestrating parallel agentic workflows with isolated development environments using git worktrees?
you: not recommended
AI recommended (in order):
1. GitLab CI/CD
2. Kubernetes
3. GitLab Runners
4. GitHub Actions
5. Docker
6. Apache Airflow
7. KubernetesExecutor
8. Prefect
9. Temporal
AI recommended 9 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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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