back to top
HomeSoftwareAI ToolsPicoClaw: Lightweight AI Assistant CLI for Edge & Low-Cost Devices

PicoClaw: Lightweight AI Assistant CLI for Edge & Low-Cost Devices

- Advertisement -

File Information

FileDetails
NamePicoClaw
Versionv0.1.1
CategoryAI Assistant (CLI)
Platform SupportWindows, macOS (ARM64), Linux (amd64, arm64, riscv64)
Size24 MB
LicenseOpen Source (MIT License)
Github RepositoryGithub/picoclaw

Description

PicoClaw is an ultra-lightweight AI assistant written in Go, built to run on extremely low-resource hardware. It focuses on minimal footprint and fast boot times.

It was refactored from scratch in Go through a self-bootstrapping AI-driven migration process, meaning the architecture itself was heavily shaped by AI-assisted development.

It’s small. It’s portable. And it’s designed for edge devices, SBCs, and low-power systems.

Screenshots

Features of PicoClaw

FeatureWhat It Does
Ultra-LightweightRuns with under 10MB RAM (recent builds may use 10–20MB).
1-Second BootExtremely fast startup even on low-frequency CPUs.
Cross-ArchitectureSupports x86_64, ARM64, and RISC-V.
AI Assistant ModeChat with LLM providers through CLI.
Gateway ModeRun as a service for integrations.
Scheduled TasksBuilt-in cron-based reminders and automation.
Sandbox SecurityRestricts file and command access to workspace by default.
Heartbeat SystemPeriodic autonomous task execution.
Chat App IntegrationsWorks with Telegram, Discord, QQ, DingTalk, LINE.

System Requirements

ComponentRequirement
OSWindows / macOS (ARM64) / Linux
RAM64MB+ recommended (core <10MB usage)
CPUAny modern x86_64, ARM64, or RISC-V
InternetRequired for LLM APIs
API KeyRequired (OpenRouter, Gemini, OpenAI, etc.)

Early development stage. Not recommended for production environments before v1.0.

How to Install PicoClaw??

Windows

  1. Download picoclaw .exe file.
  2. Place it in a folder (e.g., C:\picoclaw).
  3. Open that folder.
  4. Click the address bar, type cmd, and press Enter.
  5. Drag & Drop that exe file In Command Prompt & press enter
  6. After that you’ll be prompted with picoclaw options to install & use it.

If double-clicked directly, nothing meaningful will happen because it’s a CLI application. You must run it through Command Prompt or PowerShell.


macOS (Apple Silicon ARM64)

  1. Download picoclaw-darwin-arm64.
  2. Move it to a folder (e.g., Downloads).
  3. Open Terminal.
  4. Navigate to the folder:
cd ~/Downloads
  1. Make it executable:
chmod +x picoclaw-darwin-arm64
  1. Run it:

./picoclaw-darwin-arm64 version

Linux (amd64 / arm64 / riscv64)

  1. Download the correct binary for your architecture.
  2. Open Terminal.
  3. Navigate to the download directory.
  4. Make executable:
chmod +x picoclaw-linux-amd64

(Replace filename accordingly.)

  1. Run:

./picoclaw-linux-amd64 version

Recommended For You: OpenClaw: Open-Source Local AI Assistant That Runs 100% on Your Own Machine

PicoClaw Quick Setup

1. Initialize

picoclaw onboard

This creates configuration and workspace directories.

2. Configure API Key

Edit:

~/.picoclaw/config.json

Add your LLM provider API key (OpenRouter, Gemini, OpenAI, etc.).

3️. Chat

One-shot:

picoclaw agent -m "What is 2+2?"

Interactive mode:

picoclaw agent

Download PicoClaw: Lightweight AI Assistant CLI

PicoClaw CLI Commands

CommandDescription
picoclaw onboardInitialize configuration & workspace
picoclaw agentInteractive chat mode
picoclaw agent -mOne-shot query
picoclaw gatewayStart gateway service
picoclaw statusShow status
picoclaw cronManage scheduled jobs
picoclaw skillsManage skills
picoclaw versionShow version

Conclusion

PicoClaw is built for efficiency. It runs in under 10MB of RAM & on low-cost hardware.

If you’re building AI systems for edge devices, SBCs, or minimal Linux boards, PicoClaw is one of the most lightweight agent frameworks available right now.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisment -

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy

YOU MAY ALSO LIKE
Linkora Open-Source Link Manager Desktop App

Linkora Desktop: Open-Source Link Manager App

0
Linkora Desktop is built for users who want full control over their bookmarks without relying on proprietary cloud services. All links are stored locally using SQLite, ensuring fast performance and privacy by default. You can create unlimited folders and subfolders, organize links with tags, and switch between multiple layout views for better visual management. If you need cross-device access, Linkora offers an optional self-hosted sync server, meaning you control where your data lives. With browser extension support and Android integration, Linkora makes saving and organizing links effortless across platforms.
Velo Fast & AI-Enhanced Desktop Email Client with Offline Support

Velo: Fast & AI-Enhanced Desktop Email Client with Offline Support

0
Velo is designed for speed, privacy, and efficiency. Your emails are stored locally in an SQLite database, so you stay in full control of your data without any external servers or hidden trackers. Its keyboard-first interface allows fast inbox management, while built-in AI features help you summarize threads, compose smart replies, and search naturally. If you want a fully offline client or prefer connecting to Gmail or IMAP/SMTP accounts, Velo adapts to your workflow.
ente photos google photos alternative

Ente Photos: The Private Google Photos Alternative with End-to-End Encryption

0
Ente Photos is an end-to-end encrypted, cloud-based photo backup and gallery app that doesn’t require you to trust the provider with your data. Your photos are encrypted on your device before they leave it, and only you hold the keys. You can use Ente’s hosted cloud service, or clone the repository and self-host it if you prefer running your own server. A free plan includes 10GB of storage to get started. It is one of the closest Open Source alternative to Google photos.