REPOGEO REPORT · LITE

yohey-w/multi-agent-shogun

Default branch main · commit 6f07cb51 · scanned 5/17/2026, 6:56:12 AM

GitHub: 1,268 stars · 271 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

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 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 yohey-w/multi-agent-shogun, 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 README H1/opening to explicitly state core function

Why:

CURRENT

# multi-agent-shogun

**Command your AI army like a feudal warlord.**

Run 10 AI coding agents in parallel — **Claude Code, OpenAI Codex, GitHub Copilot, Kimi Code** — orchestrated through a samurai-inspired hierarchy with zero coordination overhead.

COPY-PASTE FIX

# multi-agent-shogun

**A Samurai-inspired multi-agent system for orchestrating parallel AI coding assistants (Claude Code, OpenAI Codex, GitHub Copilot, Kimi Code) via tmux.**

Command your AI army like a feudal warlord, running 10 AI coding agents in parallel with zero coordination overhead.

mediumhomepage#2
Add repository URL as homepage in About section
Why:
COPY-PASTE FIX
```
https://github.com/yohey-w/multi-agent-shogun
```

lowtopics#3

Add more specific topics to reinforce niche

Why:

CURRENT

ai-agent, anthropic, automation, claude-code, llm, multi-agent, parallel-processing, samurai, shogun, tmux

COPY-PASTE FIX

ai-agent, anthropic, automation, claude-code, llm, multi-agent, parallel-processing, samurai, shogun, tmux, ai-coding-assistant, agent-orchestration, terminal-multiplexer

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 yohey-w/multi-agent-shogun

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
OpenAI API · recommended 1×
GPT-4 · recommended 1×
Anthropic's Claude · recommended 1×

CATEGORY QUERY
How can I efficiently manage and coordinate multiple AI coding assistants in parallel?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. OpenAI API
4. GPT-4
5. Anthropic's Claude
6. Google's Gemini
7. asyncio
8. aiohttp
9. queue module
10. GitHub Actions
11. GitLab CI/CD
12. Jenkins
13. Docker Compose
14. Kubernetes
15. Apache Airflow
16. Prefect
17. Dagster
AI recommended 17 alternatives but never named yohey-w/multi-agent-shogun. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a system to orchestrate parallel AI code generation tasks using a terminal multiplexer.
you: not recommended
AI recommended (in order):
1. tmux
2. GNU Screen
3. Ray
4. Dask
5. GNU Parallel
6. Ansible
7. Slurm Workload Manager
AI recommended 7 alternatives but never named yohey-w/multi-agent-shogun. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
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 yohey-w/multi-agent-shogun?
pass
AI named yohey-w/multi-agent-shogun explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts yohey-w/multi-agent-shogun in production, what risks or prerequisites should they evaluate first?
pass
AI named yohey-w/multi-agent-shogun 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 yohey-w/multi-agent-shogun solve, and who is the primary audience?
pass
AI did not name yohey-w/multi-agent-shogun — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/yohey-w/multi-agent-shogun.svg)](https://repogeo.com/en/r/yohey-w/multi-agent-shogun)

HTML

<a href="https://repogeo.com/en/r/yohey-w/multi-agent-shogun"><img src="https://repogeo.com/badge/yohey-w/multi-agent-shogun.svg" alt="RepoGEO" /></a>

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yohey-w/multi-agent-shogun — 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