PicoClaw: Ultra-Efficient AI Assistant in Go

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

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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!

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.

🪶 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 (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!

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

🌟 More Deployment Cases Await!

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

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

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.

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

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.

# 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

# 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

The TUI (Terminal UI) Launcher provides a full-featured terminal interface for configuration and management. Ideal for servers, Raspberry Pi, and other headless environments.

picoclaw-launcher-tui

Getting started:

Use the TUI menus to: 1) Configure a Provider -> 2) Configure a Channel -> 3) Start the Gateway -> 4) Chat!

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

Give your decade-old phone a second life! Turn it into a smart AI Assistant with PicoClaw.

Option 1: Termux (available now)

1. Install Termux (download from GitHub Releases, or search in F-Droid / Google Play)
2. Run the following commands:

# Download the latest release
wget https://github.com/sipeed/picoclaw/releases/latest/download/picoclaw_Linux_arm64.tar.gz
tar xzf picoclaw_Linux_arm64.tar.gz
pkg install proot
termux-chroot ./picoclaw onboard   # chroot provides a standard Linux filesystem layout

Then follow the Terminal Launcher section below to complete configuration.

Option 2: APK Install (coming soon)

A standalone Android APK with built-in WebUI is in development. Stay tuned!

picoclaw onboard

{
  "agents": {
    "defaults": {
      "model_name": "gpt-5.4"
    }
  },
  "model_list": [
    {
      "model_name": "gpt-5.4",
      "model": "openai/gpt-5.4"
      // api_key is now loaded from .security.yml
    }
  ]
}

# One-shot question
picoclaw agent -m "What is 2+2?"

# Interactive mode
picoclaw agent

# Start gateway for chat app integration
picoclaw gateway

PicoClaw supports 30+ LLM providers through the model_list configuration. Use the protocol/model format:

* AWS Bedrock requires build tag: go build -tags bedrock. Set api_base to a region name (e.g., us-east-1) for automatic endpoint resolution across all AWS partitions (aws, aws-cn, aws-us-gov). When using a full endpoint URL instead, you must also configure AWS_REGION via environment variable or AWS config/profile.

{
  "model_list": [
    {
      "model_name": "local-llama",
      "model": "ollama/llama3.1:8b",
      "api_base": "http://localhost:11434/v1"
    }
  ]
}

{
  "model_list": [
    {
      "model_name": "local-vllm",
      "model": "vllm/your-model",
      "api_base": "http://localhost:8000/v1"
    }
  ]
}

Talk to your PicoClaw through 17+ messaging platforms:

All webhook-based channels share a single Gateway HTTP server (gateway.host:gateway.port, default 127.0.0.1:18790). Feishu uses WebSocket/SDK mode and does not use the shared HTTP server.

For detailed channel setup instructions, see Chat Apps Configuration.

PicoClaw can search the web to provide up-to-date information. Configure in tools.web:

PicoClaw includes built-in tools for file operations, code execution, scheduling, and more. See Tools Configuration for details.

Skills are modular capabilities that extend your Agent. They are loaded from SKILL.md files in your workspace.

Install skills from ClawHub:

picoclaw skills search "web scraping"
picoclaw skills install <skill-name>

Configure ClawHub token (optional, for higher rate limits):

Add to your config.json:

{
  "tools": {
    "skills": {
      "registries": {
        "clawhub": {
          "auth_token": "your-clawhub-token"
        }
      }
    }
  }
}

For more details, see Tools Configuration - Skills.

PicoClaw natively supports MCP — connect any MCP server to extend your Agent's capabilities with external tools and data sources.

{
  "tools": {
    "mcp": {
      "enabled": true,
      "servers": {
        "filesystem": {
          "enabled": true,
          "command": "npx",
          "args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
        }
      }
    }
  }
}

For full MCP configuration (stdio, SSE, HTTP transports, Tool Discovery), see Tools Configuration - MCP.

Connect PicoClaw to the Agent Social Network simply by sending a single message via the CLI or any integrated Chat App.

Read https://clawdchat.ai/skill.md and follow the instructions to join ClawdChat.ai

PicoClaw supports scheduled reminders and recurring tasks through the cron tool:

• One-time reminders: "Remind me in 10 minutes" -> triggers once after 10min
• Recurring tasks: "Remind me every 2 hours" -> triggers every 2 hours
• Cron expressions: "Remind me at 9am daily" -> uses cron expression

For detailed guides beyond this README:

PRs welcome! The codebase is intentionally small and readable.

See our Community Roadmap and CONTRIBUTING.md for guidelines.

Developer group building, join after your first merged PR!

User Groups:

Discord: https://discord.gg/V4sAZ9XWpN

WeChat: