REPOGEO REPORT · LITE

modu-ai/moai-adk

Default branch main · commit a964772f · scanned 6/18/2026, 5:11:20 PM

GitHub: 1,084 stars · 199 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

33 /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

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 modu-ai/moai-adk, 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 opening to highlight CLI, spec-first, TDD/DDD

Why:

CURRENT

MoAI-ADK is a **high-performance AI development environment** for Claude Code. 24 specialized AI agents and 52 skills collaborate to produce quality code. It automatically applies TDD (default) for new projects and feature development, or DDD for existing projects with minimal test coverage, and supports dual execution modes with Sub-Agent and Agent Teams.

COPY-PASTE FIX

MoAI-ADK is a **high-performance CLI-based AI development environment** for Claude Code, designed for **spec-first agentic development** with **TDD/DDD quality gates**. It features 24 specialized AI agents and 52 skills that collaborate to produce high-quality code, automatically applying TDD (default) for new projects or DDD for existing ones.

mediumcomparison#2

Add a comparison section to README

Why:

COPY-PASTE FIX

## MoAI-ADK vs. Other Agent Frameworks

Unlike many Python-based or UI-driven agent frameworks, MoAI-ADK is a Go CLI tool focused on spec-first agentic development for Claude Code, emphasizing TDD/DDD quality gates and multi-language project support. This makes it ideal for developers prioritizing performance, strict quality assurance, and integration into Go-centric workflows.

lowtopics#3

Add 'command-line-interface' to topics

Why:

CURRENT

agent-teams, agentic-ai, agentic-coding, agentic-workflow, ai-agent, ai-coding, anthropic, claude, claude-code, claudecode, cli-tool, code-quality, ddd, developer-tools, ears-format, multi-agent, spec-driven-development, spec-first, tdd, vibe-coding

COPY-PASTE FIX

agent-teams, agentic-ai, agentic-coding, agentic-workflow, ai-agent, ai-coding, anthropic, claude, claude-code, claudecode, cli-tool, code-quality, command-line-interface, ddd, developer-tools, ears-format, multi-agent, spec-driven-development, spec-first, tdd, vibe-coding

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 modu-ai/moai-adk

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

AutoDev

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

AutoDev · recommended 1×
MetaGPT · recommended 1×
OpenDevin · recommended 1×
AgentOps · recommended 1×
CrewAI · recommended 1×

CATEGORY QUERY
How to implement spec-first AI agent development with TDD and DDD quality gates?
you: not recommended
Show full AI answer
CATEGORY QUERY
Looking for an agentic development framework to build high-quality code with Claude AI.
you: not recommended
AI recommended (in order):
1. AutoDev
2. MetaGPT
3. OpenDevin
4. AgentOps
5. CrewAI
6. LangChain Agents
7. LlamaIndex Agents
AI recommended 7 alternatives but never named modu-ai/moai-adk. 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 modu-ai/moai-adk?
pass
AI named modu-ai/moai-adk explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts modu-ai/moai-adk in production, what risks or prerequisites should they evaluate first?
pass
AI did not name modu-ai/moai-adk — 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?
In one sentence, what problem does the repo modu-ai/moai-adk solve, and who is the primary audience?
pass
AI named modu-ai/moai-adk explicitly
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/modu-ai/moai-adk.svg)](https://repogeo.com/en/r/modu-ai/moai-adk)

HTML

<a href="https://repogeo.com/en/r/modu-ai/moai-adk"><img src="https://repogeo.com/badge/modu-ai/moai-adk.svg" alt="RepoGEO" /></a>

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modu-ai/moai-adk — 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