Ultra-Lightweight
<10MB memory footprint — 99% smaller than OpenClaw. The smallest full-featured AI assistant ever built.
<10MB
RAM Usage
Open Source · MIT License
🦐
PicoClaw
Ultra-Lightweight AI Assistant
$10 Hardware · <10MB RAM · 1s Boot · Written in Go
The world's most efficient personal AI assistant. Run your own AI agent on a $10 RISC-V board with under 10MB of memory. 99% smaller than OpenClaw, 400x faster startup, truly portable across RISC-V, ARM64, and x86.
$10
Hardware Cost
<10MB
Memory Usage
<1s
Boot Time
400×
Faster Startup
Terminal
$ picoclaw onboard
# ✅ Config initialized
$ picoclaw agent -m "What is 2+2?"
# 🦐 PicoClaw: The answer is 4!
Why PicoClaw?
Built for the Edge, Powered by AI
PicoClaw brings the full power of AI assistants to minimal hardware. No cloud dependency, no expensive servers — just a tiny binary that runs anywhere.
Minimal Cost
Runs on hardware as cheap as $10 — that's 98% cheaper than a Mac Mini. AI for everyone.
$10
Hardware Cost
Lightning Fast
400× faster startup time. Boot in under 1 second even on a 0.6GHz single-core processor.
<1s
Boot Time
True Portability
Single self-contained binary across RISC-V, ARM64, and x86. One build, deploy anywhere.
3
Architectures
AI-Bootstrapped
95% agent-generated core with human-in-the-loop refinement. The AI built itself.
95%
AI-Generated
Open Source
MIT licensed, community-driven. Clean, readable codebase. PRs welcome!
MIT
License
Benchmark
How PicoClaw Compares
See how PicoClaw stacks up against other AI assistant frameworks in terms of resource usage, speed, and cost.
| Metric | OpenClaw | NanoBot | PicoClaw 🦐 |
|---|---|---|---|
| Language | TypeScript | Python | Go |
| RAM Usage | >1GB | >100MB | <10MB |
| Startup Time (0.8GHz core) | >500s | >30s | <1s |
| Min Hardware Cost | $599 (Mac Mini) | ~$50 (Linux SBC) | $10 (Any Linux Board) |
| Architecture Support | x86 only | x86, ARM | RISC-V, ARM64, x86 |
| Single Binary |
In Action
See PicoClaw In Action
PicoClaw handles standard AI assistant workflows with lightning speed — from coding to memory management and web search.
Full-Stack Engineer
Develop, deploy, and scale applications directly from your AI assistant. PicoClaw writes code, manages files, and automates workflows.
Logging & Planning
Schedule tasks, automate reminders, and maintain long-term memory. PicoClaw remembers your preferences and manages your workflow.
Web Search & Learning
Discover information, extract insights, and track trends. Integrated with Brave Search API for real-time web access.
Real-Time Memory Footprint
Watch PicoClaw run with under 10MB of RAM on a $10 LicheeRV Nano board. That's less memory than a single browser tab uses.
Deploy Anywhere
Supported Hardware
PicoClaw can be deployed on almost any Linux device! From $10 RISC-V boards to powerful servers — pick the right hardware for your use case.
Best Value
LicheeRV Nano
$9.9
E (Ethernet) or W (WiFi6) version. The perfect minimal home assistant platform.
- RISC-V Architecture
- WiFi6 or Ethernet
- Minimal Home Assistant
NanoKVM
$30–$100
Standard or Pro version. Perfect for automated server maintenance and remote management.
- KVM Functionality
- Server Maintenance
- Remote Management
MaixCAM / MaixCAM2
$50–$100
AI camera with built-in compute. Ideal for smart monitoring and computer vision applications.
- Built-in Camera
- AI Vision Capable
- Smart Monitoring
Get Started
Install PicoClaw
Get up and running in under 2 minutes. PicoClaw supports multiple installation methods to fit your workflow.
Download Precompiled Binary
The fastest way to get started. Download the binary for your platform and run it directly.
Terminal
# Download from GitHub Releases
# Choose your platform: linux-amd64, linux-arm64, linux-riscv64
wget https://github.com/sipeed/picoclaw/releases/latest/download/picoclaw-linux-amd64
# Make it executable
chmod +x picoclaw-linux-amd64
# Initialize
./picoclaw-linux-amd64 onboard
# Start chatting!
./picoclaw-linux-amd64 agent -m "Hello PicoClaw!"Build from Source
Get the latest features and contribute to development. Requires Go 1.21+.
Terminal
# Clone the repository
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw
# Install dependencies
make deps
# Build for your platform
make build
# Or build for all platforms
make build-all
# Build and install globally
make installDocker Compose
Run PicoClaw without installing anything locally. Perfect for servers and automated deployments.
Terminal
# Clone and configure
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw
cp config/config.example.json config/config.json
vim config/config.json # Set your API keys
# Build and start
docker compose --profile gateway up -d
# Check logs
docker compose logs -f picoclaw-gateway
# Or run one-shot agent
docker compose run --rm picoclaw-agent -m "What is 2+2?"Quick Configuration
Set your API key in ~/.picoclaw/config.json to get started:
~/.picoclaw/config.json
{
"agents": {
"defaults": {
"model": "glm-4.7",
"max_tokens": 8192
}
},
"providers": {
"openrouter": {
"api_key": "YOUR_API_KEY"
}
}
}
Multi-Platform
Connect Your Favorite Chat App
Talk to PicoClaw through the messaging platforms you already use. Simple setup, powerful results.
Telegram
Easy SetupRecommended. Just create a bot token via @BotFather and configure. Supports voice messages with Groq Whisper transcription.
Discord
Easy SetupCreate a Discord bot, enable Message Content Intent, and add to your server. Full chat support with allow-list security.
Connect via QQ Open Platform with AppID and AppSecret. Optional user allow-list for access control.
DingTalk
Medium SetupCreate an internal app on DingTalk Open Platform. Uses Client ID and Client Secret for authentication.
Reference
CLI Commands
PicoClaw's command-line interface is simple and intuitive. Here are the most common commands.
picoclaw onboard
Initialize config & workspace
picoclaw agent -m "..."
Chat with the agent (one-shot)
picoclaw agent
Interactive chat mode
picoclaw gateway
Start the gateway for chat apps
picoclaw status
Show current status
picoclaw cron list
List all scheduled jobs
picoclaw cron add ...
Add a scheduled job or reminder
FAQ
Frequently Asked Questions
What hardware does PicoClaw run on?
PicoClaw runs on any Linux device with as little as 10MB of RAM. This includes $10 RISC-V boards like the LicheeRV Nano, ARM64 devices, and standard x86 machines. It supports RISC-V, ARM64, and x86 architectures natively with a single self-contained binary.
How much memory does PicoClaw use?
PicoClaw uses less than 10MB of RAM — that's 99% less memory than OpenClaw (which requires over 1GB) and significantly less than NanoBot (100MB+). This makes it possible to run on the cheapest Linux boards available.
Is PicoClaw free and open source?
Yes! PicoClaw is completely free and open source under the MIT license. You can find the source code on GitHub at github.com/sipeed/picoclaw. PRs are welcome!
What chat platforms does PicoClaw support?
PicoClaw supports Telegram (recommended), Discord, QQ, DingTalk, and more chat platforms. You can interact with your AI assistant through any of these platforms. Telegram also supports voice messages with Whisper transcription via Groq.
How fast does PicoClaw boot?
PicoClaw boots in under 1 second, even on a 0.6GHz single-core processor. That's 400× faster than OpenClaw (500s+) and 30× faster than NanoBot (30s+). Thanks to Go's native compilation and zero runtime dependencies.
Which LLM providers are supported?
PicoClaw supports multiple LLM providers including OpenRouter (access to all models), Zhipu (best for Chinese users), Anthropic (Claude), OpenAI (GPT), Google Gemini, DeepSeek, and Groq (also provides free voice transcription). OpenRouter is recommended as it gives access to multiple models.
Can PicoClaw schedule tasks and reminders?
Yes! PicoClaw supports scheduled reminders and recurring tasks through the cron tool. You can set one-time reminders ("Remind me in 10 minutes"), recurring tasks ("Remind me every 2 hours"), and cron-based schedules ("Remind me at 9am daily").
How was PicoClaw built?
PicoClaw was inspired by NanoBot and refactored from the ground up in Go through a self-bootstrapping process. The AI agent itself drove the entire architectural migration and code optimization — 95% of the core code was generated by AI with human-in-the-loop refinement.
In the News
Press & Community
PicoClaw launched on February 9, 2026 and hit 12,000+ GitHub stars in just one week. Here's what the tech community is saying.
CNX Software
PicoClaw ultra-lightweight personal AI Assistant runs on just 10MB of RAM
"PicoClaw further builds on the nanobot project, refactored from the ground up in Go… runs on devices that cost as little as $10."
February 10, 2026 Hackster.io
Forget the Mac Mini: Run This OpenClaw Alternative for Just $10
"Sipeed has just released PicoClaw, an ultra-lightweight personal AI assistant that was built to run on microcontrollers using 99% less memory."
February 10, 2026 Medium
PicoClaw: The Ultra-Lightweight AI Assistant That Runs on Almost Anything
"PicoClaw's moat is vertical integration. Sipeed makes the $10 RISC-V boards and the AI agent software optimized for those boards."
February 19, 2026 YouTube
PicoClaw: The $10 AI Assistant Running on 10MB RAM
"Deploy PicoClaw as a single binary on RISC-V, ARM, or x86 devices like the LicheeRV-Nano or NanoKVM."
February 12, 2026 Bitdoze
PicoClaw Setup Guide: Go Binary AI Assistant on $10 Hardware
"PicoClaw is a Go rewrite of nanobot that compiles down to a single binary, boots in under a second, and uses less than 10MB of RAM."
February 19, 2026 FAUN
OpenClaw Lightweight Alternative Launches: A 10MB AI Assistant on $10 Hardware
"Sipeed has released PicoClaw — an open-source AI assistant written in Go that runs in under 10MB of RAM and boots in about one second."
February 14, 2026
12,000+
GitHub Stars in 1 Week
270+
Merged Pull Requests
v0.1.2
Latest Stable Release
7+
Chat Integrations
Changelog
Latest Updates
PicoClaw is under active development with rapid community contributions. Here are the latest milestones.
Feb 22, 2026
v0.1.2 Released
Major release with 270+ merged PRs: Ollama local AI support, I2C/SPI hardware tools, health check endpoints for Kubernetes, 32-bit architecture support (linux/loong64), Discord typing indicator, skill validation system, and goreleaser CI/CD pipeline.
Feb 16, 2026
12K Stars — Community Maintainers Needed
PicoClaw hit 12,000 GitHub stars in one week! Community roadmap and volunteer roles officially published. The project is growing faster than expected.
Feb 13, 2026
v0.1.1 — Chat Channels & Agent Memory
Added Telegram, Discord, QQ, DingTalk, LINE, WeCom, and Slack integrations. New agent memory system, cron scheduler, ClawdChat social network, OpenClaw workspace migration tool, and security sandbox.
Feb 13, 2026
PicoLM — Local Brain for PicoClaw
The PicoLM project launched: a 1-billion parameter language model optimized to run on the same $10 RISC-V boards. Together with PicoClaw, they form a fully offline AI stack.
Feb 9, 2026
PicoClaw Launched! 🦐
Built in 1 day to bring AI Agents to $10 hardware with <10MB RAM. Open source under MIT license. The beginning of ultra-lightweight edge AI.
Ready to Run AI on $10 Hardware?
Join the community of developers running personal AI assistants on minimal hardware. Open source, MIT licensed, and ready to deploy.