REPOGEO REPORT · LITE

memovai/mimiclaw

Default branch main · commit bb10ea01 · scanned 6/22/2026, 4:07:19 AM

GitHub: 5,508 stars · 809 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

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 memovai/mimiclaw, 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

Strengthen README's opening sentence with embedded AI keywords

Why:

CURRENT

MimiClaw turns a tiny ESP32-S3 board into a personal AI assistant. Plug it into USB power, connect to WiFi, and talk to it through Telegram — it handles any task you throw at it and evolves over time with local memory — all on a chip the size of a thumb.

COPY-PASTE FIX

MimiClaw is an embedded AI agent framework that runs OpenClaw on a tiny, low-cost ESP32-S3 microcontroller, enabling a personal AI assistant without Linux, Node.js, or Raspberry Pi. It transforms a $5 ESP32-S3 board into a fully functional, locally-memory-enabled AI assistant.

mediumtopics#2

Add specific embedded AI and microcontroller topics

Why:

CURRENT

ai, assistant, clawdbot, edge-ai-agents, memory, openclaw

COPY-PASTE FIX

ai, assistant, clawdbot, edge-ai-agents, memory, openclaw, embedded-ai, microcontroller, esp32, low-power, no-os, hardware-agents

lowhomepage#3

Ensure homepage clearly states embedded AI focus

Why:

COPY-PASTE FIX

Ensure the homepage's primary headline and opening paragraph clearly state 'MimiClaw: Embedded AI assistant on ESP32-S3' or similar, emphasizing the hardware and low-cost aspects.

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 memovai/mimiclaw

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

tensorflow/tflite-micro

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

tensorflow/tflite-micro · recommended 1×
apache/tvm · recommended 1×
Edge Impulse · recommended 1×
ARM-software/CMSIS-NN · recommended 1×
Node.js · recommended 1×

CATEGORY QUERY
How to deploy an AI assistant on a tiny, low-power microcontroller without Linux?
you: not recommended
AI recommended (in order):
1. TensorFlow Lite for Microcontrollers (TFLite Micro) (tensorflow/tflite-micro)
2. MicroTVM (Apache TVM) (apache/tvm)
3. Edge Impulse
4. CMSIS-NN (ARM Cortex-M specific) (ARM-software/CMSIS-NN)
AI recommended 4 alternatives but never named memovai/mimiclaw. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an embedded AI agent with local memory on a $5 chip, no Node.js or Raspberry Pi.
you: not recommended
AI recommended (in order):
1. Node.js
2. Raspberry Pi
3. Espressif ESP32-S3
4. TensorFlow Lite for Microcontrollers
5. ESP-IDF
6. Ambiq Apollo3 Blue Plus
7. STMicroelectronics STM32H7 series
8. STM32Cube.AI
9. ArduCAM ESP32-S3-EYE
10. Microchip SAM E54 / SAM D51
AI recommended 10 alternatives but never named memovai/mimiclaw. 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 memovai/mimiclaw?
pass
AI named memovai/mimiclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts memovai/mimiclaw in production, what risks or prerequisites should they evaluate first?
pass
AI named memovai/mimiclaw 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 memovai/mimiclaw solve, and who is the primary audience?
pass
AI named memovai/mimiclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of memovai/mimiclaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/memovai/mimiclaw.svg)](https://repogeo.com/en/r/memovai/mimiclaw)

HTML

<a href="https://repogeo.com/en/r/memovai/mimiclaw"><img src="https://repogeo.com/badge/memovai/mimiclaw.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite