Ross ROSS = Recommend OSS · open-source software intelligence for agents

memovai/mimiclaw

MimiClaw: Harness on a $5 chip. No OS(Linux). No Node.js. No Mac mini. No Raspberry Pi. No VPS. Hardware agents OS. observed · 2026-08-28

github.com/memovai/mimiclaw · homepage · C · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

69/100

  • Activity 98
  • Release rhythm 63
  • Longevity 15
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 35
  • age_days: 210
  • days_rel: 169
  • days_push: 12
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

5731 stars · 891 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MimiClaw is a bare-metal AI agent framework written in pure C that runs an OpenClaw-style personal AI assistant on a $5 ESP32-S3 microcontroller with no OS or Node.js. It connects to Telegram over WiFi, runs a ReAct agent loop with Anthropic or OpenAI LLMs, calls tools, and persists memory in flash across reboots at 0.5W.

Use cases

  • run an AI assistant on a microcontroller without Linux or a server
  • build a Telegram-controlled AI agent on cheap hardware
  • deploy an always-on edge AI agent with persistent memory
  • control GPIO sensors and actuators from an LLM agent
  • host a personal AI assistant on a $5 chip instead of a VPS
  • flash an OpenClaw-compatible agent onto ESP32-S3

When to choose

  • you want a tiny, low-power, always-on AI agent on dedicated hardware
  • you prefer bare-metal C with no OS, runtime, or cloud server dependency
  • you need local persistent memory that survives reboots and stays on-device
  • you want hardware interaction (GPIO, sensors) driven by an LLM agent

When to avoid

  • you need heavy local LLM inference — it relies on cloud Anthropic/OpenAI APIs
  • you need a full OS, rich libraries, or Node.js ecosystem tooling
  • you don't want to buy an ESP32-S3 board or use ESP-IDF build tooling
  • you need high-throughput or multi-user server-side agent workloads

Facets

framework · maturity active

agent-framework llm-inference chatbot embedded websocket http-client artificial-intelligence large-language-models embedded-systems iot chatbots hardware embedded iot cross-platform esp32-s3 bare-metal edge-ai telegram-bot openclaw esp-idf pure-c microcontroller persistent-memory hardware-agent memory ai-agents telegram

2 sources

Member repositories

RepositoryRoleHealth v2
memovai/mimiclawmain69

For agents

markdown · JSON · MCP: product_card(name="memovai/mimiclaw")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem