PicoClaw: Ultra-Efficient AI Assistant in Go

$10 Hardware · 10MB RAM · ms Boot · Let's Go, PicoClaw!

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PicoPaw AI is now live at picopaw.ai.

Create, preview, and share playful AI companions for the PicoClaw ecosystem.

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 PicoClaw website is picoclaw.io, and company website is sipeed.com
• BEWARE: Many lookalike .ai/.org/.com/.net/... domains have been registered by third parties. Only trust domains explicitly linked from this README.
• 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

2026-06-11 🐾 PicoPaw AI is live! Explore the new PicoPaw companion experience at picopaw.ai, with animated AI pet previews and ecosystem updates for PicoClaw users.

2026-05-11 🛒 LicheeRV-Claw on AliExpress! You can now purchase LicheeRV-Claw from AliExpress, making it easier to try PicoClaw on compact RISC-V hardware.

2026-05-28 🚀 v0.2.9 Released! MCP server management in Web UI, configurable Sogou-backed web search, tool feedback animation in channels, pretty_print and disable_escape_html defaults, and numerous bug fixes across providers and channels.

2026-05-14 🚀 v0.2.8 Released! MCP CLI commands (show, add, list, remove, test, edit), empty object instead of null for MCP tool parameters, and build fixes.

2026-05-07 🚀 v0.2.7 Released! Configurable Sogou-backed web search, channel tool feedback animation, linter fixes.

2026-04-23 🚀 v0.2.6 Released! Hooks with respond action and comprehensive documentation, isolation support, help banner fix.

2026-04-11 🚀 v0.2.5 Released! Zoneinfo from TZ/ZONEINFO env, Matrix CommonMark rendering alignment, read_file by lines.

2026-03-31 📱 Android Support! PicoClaw now runs on Android! Download the APK at picoclaw.io

2026-03-25 🚀 v0.2.4 Released! Agent architecture overhaul (SubTurn, Hooks, Steering, EventBus), WeChat/WeCom integration, security hardening (.security.yml, sensitive data filtering), new providers (AWS Bedrock, Azure, Xiaomi MiMo), and 35 bug fixes. PicoClaw has reached 26K Stars!

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.

Earlier news...

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

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!

✨ 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).

(0.8GHz core) | >500s | >30s | <1s | | Cost | Mac Mini $599 | Most Linux boards ~$50 | Any Linux board

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

Full-Stack Engineer Mode	Logging & Planning	Web Search & Learning
Develop · Deploy · Scale	Schedule · Automate · Remember	Discover · Insights · Trends

🐜 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)

Prerequisites:

• Go 1.25+
• Node.js 22+ and pnpm 10.33.0+ for Web UI / launcher builds

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

cd picoclaw
make deps

# Install frontend dependencies
(cd web/frontend && pnpm install --frozen-lockfile)

# Build the core binary for the current platform
make build

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

# Build core binaries for all Makefile-managed 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: bash picoclaw-launcher -public

Getting started:

Open the WebUI, then: 1) Configure a Provider (add your LLM API key) -> 2) Configure a Channel (e.g., Telegram) -> 3) Start the Gateway -> 4) Chat!

For detailed WebUI documentation, see docs.picoclaw.io.

Docker (alternative)

# 1. Clone this repo
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw

# 2. First run — auto-generates docker/data/config.json then exits
#    (only triggers when both config.json and workspace/ are missing)
docker compose -f docker/docker-compose.yml --profile launcher up
# The container prints "First-run setup complete." and stops.

# 3. Set your API keys
vim docker/data/config.json

# 4. Start
docker compose -f docker/docker-compose.yml --profile launcher up -d
# Open http://localhost:18800

Docker / VM users: The Gateway listens on 127.0.0.1 by default. Set PICOCLAW_GATEWAY_HOST=0.0.0.0 or use the -public flag to make it accessible from the host.

# Check logs
docker compose -f docker/docker-compose.yml logs -f

# Stop
docker compose -f docker/docker-compose.yml --profile launcher down

# Update
docker compose -f docker/docker-compose.yml pull
docker compose -f docker/docker-compose.yml --profile launcher up -d

macOS — First Launch Security Warning