<div align="center"> <img src="assets/logo.webp" alt="PicoClaw" width="512"> <h1>PicoClaw: Ultra-Efficient AI Assistant in Go</h1> <h3>$10 Hardware · 10MB RAM · ms Boot · Let's Go, PicoClaw!</h3> <p> <img src="https://img.shields.io/badge/Go-1.25+-00ADD8?style=flat&logo=go&logoColor=white" alt="Go"> <img src="https://img.shields.io/badge/Arch-x86__64%2C%20ARM64%2C%20MIPS%2C%20RISC--V%2C%20LoongArch-blue" alt="Hardware"> <img src="https://img.shields.io/badge/license-MIT-green" alt="License"> <br> <a href="https://picoclaw.io"><img src="https://img.shields.io/badge/Website-picoclaw.io-blue?style=flat&logo=google-chrome&logoColor=white" alt="Website"></a> <a href="https://docs.picoclaw.io/"><img src="https://img.shields.io/badge/Docs-Official-007acc?style=flat&logo=read-the-docs&logoColor=white" alt="Docs"></a> <a href="https://deepwiki.com/sipeed/picoclaw"><img src="https://img.shields.io/badge/Wiki-DeepWiki-FFA500?style=flat&logo=wikipedia&logoColor=white" alt="Wiki"></a> <br> <a href="https://x.com/SipeedIO"><img src="https://img.shields.io/badge/X_(Twitter)-SipeedIO-black?style=flat&logo=x&logoColor=white" alt="Twitter"></a> <a href="./assets/wechat.png"><img src="https://img.shields.io/badge/WeChat-Group-41d56b?style=flat&logo=wechat&logoColor=white"></a> <a href="https://discord.gg/V4sAZ9XWpN"><img src="https://img.shields.io/badge/Discord-Community-4c60eb?style=flat&logo=discord&logoColor=white" alt="Discord"></a> </p>

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PicoClaw is an independent open-source project initiated by Sipeed, written entirely in Go from scratch — not a fork of OpenClaw, NanoBot, or any other project.

PicoClaw is an ultra-lightweight personal AI assistant inspired by NanoBot. It was rebuilt from the ground up in Go through a "self-bootstrapping" process — the AI Agent itself drove the architecture migration and code optimization.

Runs on $10 hardware with <10MB RAM — that's 99% less memory than OpenClaw and 98% cheaper than a Mac mini!

[!CAUTION] Security Notice

NO CRYPTO: PicoClaw has not issued any official tokens or cryptocurrency. All claims on pump.fun or other trading platforms are scams.

OFFICIAL DOMAIN: The ONLY official website is picoclaw.io, and company website is sipeed.com

BEWARE: Many .ai/.org/.com/.net/... domains have been registered by third parties. Do not trust them.

NOTE: PicoClaw is in early rapid development. There may be unresolved security issues. Do not deploy to production before v1.0.

NOTE: PicoClaw has recently merged many PRs. Recent builds may use 10-20MB RAM. Resource optimization is planned after feature stabilization.

📢 News

2026-03-17 🚀 v0.2.3 Released! System tray UI (Windows & Linux), sub-agent status query (spawn_status), experimental Gateway hot-reload, Cron security gating, and 2 security fixes. PicoClaw has reached 25K Stars!

2026-03-09 🎉 v0.2.1 — Biggest update yet! MCP protocol support, 4 new channels (Matrix/IRC/WeCom/Discord Proxy), 3 new providers (Kimi/Minimax/Avian), vision pipeline, JSONL memory store, model routing.

2026-02-28 📦 v0.2.0 released with Docker Compose and Web UI Launcher support.

2026-02-26 🎉 PicoClaw hits 20K Stars in just 17 days! Channel auto-orchestration and capability interfaces are live.

<details> <summary>Earlier news...</summary>

2026-02-16 🎉 PicoClaw breaks 12K Stars in one week! Community maintainer roles and Roadmap officially launched.

2026-02-13 🎉 PicoClaw breaks 5000 Stars in 4 days! Project roadmap and developer groups in progress.

2026-02-09 🎉 PicoClaw Released! Built in 1 day to bring AI Agents to $10 hardware with <10MB RAM. Let's Go, PicoClaw!

</details>

✨ Features

🪶 Ultra-lightweight: Core memory footprint <10MB — 99% smaller than OpenClaw.*

💰 Minimal cost: Efficient enough to run on $10 hardware — 98% cheaper than a Mac mini.

⚡️ Lightning-fast boot: 400x faster startup. Boots in <1s even on a 0.6GHz single-core processor.

🌍 Truly portable: Single binary across RISC-V, ARM, MIPS, and x86 architectures. One binary, runs everywhere!

🤖 AI-bootstrapped: Pure Go native implementation — 95% of core code was generated by an Agent and fine-tuned through human-in-the-loop review.

🔌 MCP support: Native Model Context Protocol integration — connect any MCP server to extend Agent capabilities.

👁️ Vision pipeline: Send images and files directly to the Agent — automatic base64 encoding for multimodal LLMs.

🧠 Smart routing: Rule-based model routing — simple queries go to lightweight models, saving API costs.

*Recent builds may use 10-20MB due to rapid PR merges. Resource optimization is planned. Boot speed comparison based on 0.8GHz single-core benchmarks (see table below).

| | OpenClaw | NanoBot | PicoClaw | | ------------------------------ | ------------- | ------------------------ | -------------------------------------- | | Language | TypeScript | Python | Go | | RAM | >1GB | >100MB | < 10MB* | | Boot time</br>(0.8GHz core) | >500s | >30s | <1s | | Cost | Mac Mini $599 | Most Linux boards ~$50 | Any Linux board</br>from $10 |

Hardware Compatibility List — See all tested boards, from $5 RISC-V to Raspberry Pi to Android phones. Your board not listed? Submit a PR!

🦾 Demonstration

🛠️ Standard Assistant Workflows

<table align="center"> <tr align="center"> <th><p align="center">Full-Stack Engineer Mode</p></th> <th><p align="center">Logging & Planning</p></th> <th><p align="center">Web Search & Learning</p></th> </tr> <tr> <td align="center"><p align="center"><img src="assets/picoclaw_code.gif" width="240" height="180"></p></td> <td align="center"><p align="center"><img src="assets/picoclaw_memory.gif" width="240" height="180"></p></td> <td align="center"><p align="center"><img src="assets/picoclaw_search.gif" width="240" height="180"></p></td> </tr> <tr> <td align="center">Develop · Deploy · Scale</td> <td align="center">Schedule · Automate · Remember</td> <td align="center">Discover · Insights · Trends</td> </tr> </table>

🐜 Innovative Low-Footprint Deployment

PicoClaw can be deployed on virtually any Linux device!

$9.9 LicheeRV-Nano E(Ethernet) or W(WiFi6) edition, for a minimal home assistant
$30~50 NanoKVM, or $100 NanoKVM-Pro, for automated server operations
$50 MaixCAM or $100 MaixCAM2, for smart surveillance

https://private-user-images.githubusercontent.com/83055338/547056448-e7b031ff-d6f5-4468-bcca-5726b6fecb5c.mp4

🌟 More Deployment Cases Await!

📦 Install

Download from picoclaw.io (Recommended)

Visit picoclaw.io — the official website auto-detects your platform and provides one-click download. No need to manually pick an architecture.

Download precompiled binary

Alternatively, download the binary for your platform from the GitHub Releases page.

Build from source (for development)

git clone https://github.com/sipeed/picoclaw.git

cd picoclaw
make deps

# Build core binary
make build

# Build Web UI Launcher (required for WebUI mode)
make build-launcher

# Build for multiple platforms
make build-all

# Build for Raspberry Pi Zero 2 W (32-bit: make build-linux-arm; 64-bit: make build-linux-arm64)
make build-pi-zero

# Build and install
make install

Raspberry Pi Zero 2 W: Use the binary that matches your OS: 32-bit Raspberry Pi OS -> make build-linux-arm; 64-bit -> make build-linux-arm64. Or run make build-pi-zero to build both.

🚀 Quick Start Guide

🌐 WebUI Launcher (Recommended for Desktop)

The WebUI Launcher provides a browser-based interface for configuration and chat. This is the easiest way to get started — no command-line knowledge required.

Option 1: Double-click (Desktop)

After downloading from picoclaw.io, double-click picoclaw-launcher (or picoclaw-launcher.exe on Windows). Your browser will open automatically at http://localhost:18800.

Option 2: Command line

picoclaw-launcher
# Open http://localhost:18800 in your browser

[!TIP] Remote access / Docker / VM: Add the -public flag to listen on all interfaces:
picoclaw-launcher -public

<p align="center"> <img src="assets/launcher-webui.jpg" alt="WebUI Launc

Picoclaw

Install / Use

README