REPOGEO REPORT · LITE

Mininglamp-AI/Mano-P

Default branch main · commit 87673eff · scanned 6/26/2026, 10:03:22 PM

GitHub: 2,369 stars · 221 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

35 /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

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 Mininglamp-AI/Mano-P, 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 first overview sentence to specify platform and use case

Why:

CURRENT

**Mano-P** is a GUI-VLA agent project designed specifically for edge devices.

COPY-PASTE FIX

**Mano-P** is an open-source GUI-VLA agent designed for secure, local desktop control on edge devices, including Apple M-series Macs.

highhomepage#2
Add a project homepage URL
Why:
COPY-PASTE FIX
```
https://ccnt9oddmvfr.feishu.cn/wiki/QUwbwmUwriHdL4kkyqPcWNaPn9c
```

mediumtopics#3

Add more specific topics to improve categorization

Why:

CURRENT

computer-use-agents, desktop-automation, edge-computing, gui-automation, gui-grounding, local-inference, mano, mano-p, multimodal-ai, on-device-ai, osworld, vision-language-action, visual-language-model

COPY-PASTE FIX

computer-use-agents, desktop-automation, edge-computing, gui-automation, gui-grounding, local-inference, mano, mano-p, multimodal-ai, on-device-ai, osworld, vision-language-action, visual-language-model, apple-m-series, mac-automation, private-ai, local-gui-agent

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 Mininglamp-AI/Mano-P

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

microsoft/playwright

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

microsoft/playwright · recommended 1×
Python · recommended 1×
OpenAI's API · recommended 1×
Llama 3 · recommended 1×
ollama/ollama · recommended 1×

CATEGORY QUERY
How to achieve secure, local GUI automation using an AI agent on personal devices?
you: not recommended
AI recommended (in order):
1. Playwright (microsoft/playwright)
2. Python
3. OpenAI's API
4. Llama 3
5. Ollama (ollama/ollama)
6. OpenAI's GPT-4
7. Selenium (SeleniumHQ/selenium)
8. PyAutoGUI (asweigart/pyautogui)
9. TagUI (tebelorg/RPA-Challenge-TagUI)
10. Robot Framework (robotframework/robotframework)
11. SeleniumLibrary (robotframework/SeleniumLibrary)
12. Browser library (MarketSquare/robotframework-browser)
AI recommended 12 alternatives but never named Mininglamp-AI/Mano-P. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Which open-source vision-language-action models run locally on Apple M-series for desktop control?
you: not recommended
AI recommended (in order):
1. Mobile ALOHA
2. Hugging Face Transformers
3. Diffusers
4. Open-VLA
5. LLaVA
6. MiniGPT-4
7. LLaMA-Adapter V2
8. BLIP-2
9. AppleScript
10. pyautogui
11. Accessibility APIs
AI recommended 11 alternatives but never named Mininglamp-AI/Mano-P. 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 Mininglamp-AI/Mano-P?
pass
AI named Mininglamp-AI/Mano-P explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Mininglamp-AI/Mano-P in production, what risks or prerequisites should they evaluate first?
pass
AI named Mininglamp-AI/Mano-P 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 Mininglamp-AI/Mano-P solve, and who is the primary audience?
pass
AI named Mininglamp-AI/Mano-P 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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Mininglamp-AI/Mano-P — 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