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# MimiClaw: Pocket AI Assistant on a $5 Chip
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**[English ](README.md ) | [中文 ](README_CN.md )**
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<p align="center">
<img src="assets/banner.png" alt="MimiClaw" width="480" />
</p>
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**The world's first AI assistant(OpenClaw) on a $5 chip. No Linux. No Node.js. Just pure C**
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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.
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## Meet MimiClaw
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- **Tiny** — No Linux, no Node.js, no bloat — just pure C
- **Handy** — Message it from Telegram, it handles the rest
- **Loyal** — Learns from memory, remembers across reboots
- **Energetic** — USB power, 0.5 W, runs 24/7
- **Lovable** — One ESP32-S3 board, $5, nothing else
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## How It Works
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```
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┌─────────────── Agent Loop ───────────────┐
│ │
┌───────────┐ ┌─────▼─────┐ ┌─────────┐ ┌─────────┐ │
│ Channels │ │ Message │ │ Claude │ │ Tools │ │
│ │────▶│ Queue │────▶│ (LLM) │────▶│ │──┘
│ Telegram │ └───────────┘ └────┬─────┘ └────┬────┘
│ WebSocket │◀──────────────────────────-│ │
└───────────┘ Response │ │
┌─────▼────────────────▼────┐
│ Context │
│ ┌──────────┐ ┌────────┐ │
│ │ Memory │ │ Skills │ │
│ │ SOUL.md │ │ OTA │ │
│ │ USER.md │ │ CLI │ │
│ │ MEMORY.md │ │ ... │ │
│ └──────────┘ └────────┘ │
└───────────────────────────┘
ESP32-S3 Flash
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```
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You send a message on Telegram. The ESP32-S3 picks it up over WiFi, feeds it into an agent loop — Claude thinks, calls tools, reads memory — and sends the reply back. Everything runs on a single $5 chip with all your data stored locally on flash.
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## Quick Start
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### What You Need
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- An **ESP32-S3 dev board ** with 16 MB flash and 8 MB PSRAM (e.g. Xiaozhi AI board, ~$10)
- A **USB Type-C cable **
- A **Telegram bot token ** — talk to [@BotFather ](https://t.me/BotFather ) on Telegram to create one
- An **Anthropic API key ** — from [console.anthropic.com ](https://console.anthropic.com )
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### Install
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```bash
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# You need ESP-IDF installed first:
# https://docs.espressif.com/projects/esp-idf/en/stable/esp32s3/get-started/
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git clone https://github.com/memovai/mimiclaw.git
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cd mimiclaw
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idf.py set-target esp32s3
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idf.py build
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idf.py -p /dev/ttyACM0 flash monitor
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```
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### Set Up
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After flashing, a serial console appears. Type these commands:
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```
mimi> wifi_set YourWiFiName YourWiFiPassword
mimi> set_tg_token 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11
mimi> set_api_key sk-ant-api03-xxxxx
mimi> restart
```
That's it. After restart, find your bot on Telegram and start chatting.
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### More Commands
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```
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mimi> wifi_status # am I connected?
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mimi> set_model claude-opus-4-6 # use a different model
mimi> set_proxy 10.0.0.1 7897 # optional: route through HTTP proxy
mimi> clear_proxy # optional: remove proxy, connect directly
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mimi> memory_read # see what the bot remembers
mimi> heap_info # how much RAM is free?
mimi> session_list # list all chat sessions
mimi> session_clear 12345 # wipe a conversation
mimi> restart # reboot
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```
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## Memory
MimiClaw stores everything as plain text files you can read and edit:
| File | What it is |
|------|------------|
| `SOUL.md` | The bot's personality — edit this to change how it behaves |
| `USER.md` | Info about you — name, preferences, language |
| `MEMORY.md` | Long-term memory — things the bot should always remember |
| `2026-02-05.md` | Daily notes — what happened today |
| `tg_12345.jsonl` | Chat history — your conversation with the bot |
## Also Included
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- **WebSocket gateway** on port 18789 — connect from your LAN with any WebSocket client
- **OTA updates** — flash new firmware over WiFi, no USB needed
- **Dual-core** — network I/O and AI processing run on separate CPU cores
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- **HTTP proxy** — CONNECT tunnel support for restricted networks
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## For Developers
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Technical details live in the `docs/` folder:
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- **[docs/ARCHITECTURE.md ](docs/ARCHITECTURE.md )** — system design, module map, task layout, memory budget, protocols, flash partitions
- **[docs/TODO.md ](docs/TODO.md )** — feature gap tracker and roadmap
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## License
MIT
## Acknowledgments
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Inspired by [OpenClaw ](https://github.com/openclaw/openclaw ) and [Nanobot ](https://github.com/HKUDS/nanobot ). MimiClaw reimplements the core AI agent architecture for embedded hardware — no Linux, no server, just a $5 chip.