Raw capture โ€” raw/mimiclaw.md


url: https://github.com/memovai/mimiclaw date_fetched: 2026-07-05 backfilled: true


The world's first AI assistant(OpenClaw) on a $5 chip. No Linux. No Node.js. Just pure C

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 โ€” it handles any task you throw at it and evolves over time with local memory โ€” all on a chip the size of a thumb.

You send a message on Telegram. The ESP32-S3 picks it up over WiFi, feeds it into an agent loop โ€” the LLM thinks, calls tools, reads memory โ€” and sends the reply back. Supports both Anthropic (Claude) and OpenAI (GPT) as providers, switchable at runtime. Everything runs on a single $5 chip with all your data stored locally on flash.

# You need ESP-IDF v5.5+ installed first:
# https://docs.espressif.com/projects/esp-idf/en/v5.5.2/esp32s3/get-started/
git clone https://github.com/memovai/mimiclaw.git
cd mimiclaw
idf.py set-target esp32s3

Ubuntu Install

Recommended baseline:

Install and build on Ubuntu:

sudo apt-get update
sudo apt-get install -y git wget flex bison gperf python3 python3-pip python3-venv \
  cmake ninja-build ccache libffi-dev libssl-dev dfu-util libusb-1.0-0
./scripts/setup_idf_ubuntu.sh
./scripts/build_ubuntu.sh

macOS Install

Recommended baseline:

Install and build on macOS:

xcode-select --install
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
./scripts/setup_idf_macos.sh
./scripts/build_macos.sh

MimiClaw uses a two-layer config system: build-time defaults in mimi_secrets.h, with runtime overrides via the serial CLI. CLI values are stored in NVS flash and take priority over build-time values.

cp main/mimi_secrets.h.example main/mimi_secrets.hEdit main/mimi_secrets.h:

#define MIMI_SECRET_WIFI_SSID       "YourWiFiName"
#define MIMI_SECRET_WIFI_PASS       "YourWiFiPassword"
#define MIMI_SECRET_TG_TOKEN        "123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11"
#define MIMI_SECRET_API_KEY         "sk-ant-api03-xxxxx"
#define MIMI_SECRET_MODEL_PROVIDER  "anthropic"     // "anthropic" or "openai"
#define MIMI_SECRET_SEARCH_KEY      ""              // optional: Brave Search API key
#define MIMI_SECRET_TAVILY_KEY      ""              // optional: Tavily API key (preferred)
#define MIMI_SECRET_PROXY_HOST      ""              // optional: e.g. "10.0.0.1"
#define MIMI_SECRET_PROXY_PORT      ""              // optional: e.g. "7897"

Then build and flash:

# Clean build (required after any mimi_secrets.h change)
idf.py fullclean && idf.py build
# Find your serial port
ls /dev/cu.usb*          # macOS
ls /dev/ttyACM*          # Linux
# Flash and monitor (replace PORT with your port)
# USB adapter: likely /dev/cu.usbmodem11401 (macOS) or /dev/ttyACM0 (Linux)
idf.py -p PORT flash monitor

Important: Plug into the correct USB port!Most ESP32-S3 boards have two USB-C ports. You must use the one labeledUSB(native USB Serial/JTAG),notthe one labeledCOM(external UART bridge). Plugging into the wrong port will cause flash/monitor failures.

Connect via serial to configure or debug. Config commands let you change settings without recompiling โ€” just plug in a USB cable anywhere.

Runtime config (saved to NVS, overrides build-time defaults):

mimi> wifi_set MySSID MyPassword   # change WiFi network
mimi> set_tg_token 123456:ABC...   # change Telegram bot token
mimi> set_api_key sk-ant-api03-... # change API key (Anthropic or OpenAI)
mimi> set_model_provider openai    # switch provider (anthropic|openai)
mimi> set_model gpt-4o             # change LLM model
mimi> set_proxy 127.0.0.1 7897  # set HTTP proxy
mimi> clear_proxy                  # remove proxy
mimi> set_search_key BSA...        # set Brave Search API key
mimi> set_tavily_key tvly-...      # set Tavily API key (preferred)
mimi> config_show                  # show all config (masked)
mimi> config_reset                 # clear NVS, revert to build-time defaults

Debug & maintenance:

mimi> wifi_status              # am I connected?
mimi> memory_read              # see what the bot remembers
mimi> memory_write "content"   # write to MEMORY.md
mimi> heap_info                # how much RAM is free?
mimi> session_list             # list all chat sessions
mimi> session_clear 12345      # wipe a conversation
mimi> heartbeat_trigger           # manually trigger a heartbeat check
mimi> cron_start                  # start cron scheduler now
mimi> restart                     # reboot

Most ESP32-S3 dev boards expose two USB-C ports:

Port Use for
USB(JTAG) idf.py flash, JTAG debugging
COM(UART) REPL CLI, serial console

REPL requires the UART (COM) port.The USB (JTAG) port does not support interactive REPL input.

Port details & recommended workflow

Port Label Protocol
USB USB / JTAG Native USB Serial/JTAG
COM UART / COM External UART bridge (CP2102/CH340)

The ESP-IDF console/REPL is configured to use UART by default (CONFIG_ESP_CONSOLE_UART_DEFAULT=y).

If you have both ports connected simultaneously:

Recommended workflow:

# Flash via USB (JTAG) port
idf.py -p /dev/cu.usbmodem11401 flash
# Open REPL via UART (COM) port
idf.py -p /dev/cu.usbserial-110 monitor
# or use any serial terminal: screen, minicom, PuTTY at 115200 baud

MimiClaw stores everything as plain text files you can read and edit:

File What it is
SOUL.md The bot's personality โ€” edit this to change how it behaves
USER.md Info about you โ€” name, preferences, language
MEMORY.md Long-term memory โ€” things the bot should always remember
HEARTBEAT.md Task list the bot checks periodically and acts on autonomously
cron.json Scheduled jobs โ€” recurring or one-shot tasks created by the AI
2026-02-05.md Daily notes โ€” what happened today
tg_12345.jsonl Chat history โ€” your conversation with the bot

MimiClaw supports tool calling for both Anthropic and OpenAI โ€” the LLM can call tools during a conversation and loop until the task is done (ReAct pattern).

Tool Description
web_search Search the web via Tavily (preferred) or Brave for current information
get_current_time Fetch current date/time via HTTP and set the system clock
cron_add Schedule a recurring or one-shot task (the LLM creates cron jobs on its own)
cron_list List all scheduled cron jobs
cron_remove Remove a cron job by ID

To enable web search, set a Tavily API key via MIMI_SECRET_TAVILY_KEY (preferred), or a Brave Search API key via MIMI_SECRET_SEARCH_KEY in mimi_secrets.h.

MimiClaw has a built-in cron scheduler that lets the AI schedule its own tasks. The LLM can create recurring jobs ("every N seconds") or one-shot jobs ("at unix timestamp") via the cron_add tool. When a job fires, its message is injected into the agent loop โ€” so the AI wakes up, processes the task, and responds.

Jobs are persisted to SPIFFS (cron.json) and survive reboots. Example use cases: daily summaries, periodic reminders, scheduled check-ins.

The heartbeat service periodically reads HEARTBEAT.md from SPIFFS and checks for actionable tasks. If uncompleted items are found (anything that isn't an empty line, a header, or a checked - [x] box), it sends a prompt to the agent loop so the AI can act on them autonomously.

This turns MimiClaw into a proactive assistant โ€” write tasks to HEARTBEAT.md and the bot will pick them up on the next heartbeat cycle (default: every 30 minutes).

Technical details live in the docs/ folder:

Please read CONTRIBUTING.md before opening issues or pull requests.

Thanks to everyone who has contributed to MimiClaw.

MIT

Inspired by OpenClaw and Nanobot. MimiClaw reimplements the core AI agent architecture for embedded hardware โ€” no Linux, no server, just a $5 chip.