PicoClaw - Ultra-Lightweight AI Assistant | Go-Powered, Performance First

4 min read Original article ↗

Go-Powered · Open Source

Ultra-lightweight personal AI assistant. Memory usage under 10MB, starts in under 1 second, supports multi-architecture deployment. From $10 hardware to high-performance servers, AI within reach.

Rewritten in Go, 10x performance boost. From Raspberry Pi to servers, from Telegram to DingTalk, run AI anywhere.

Memory usage under 10MB, saving 99% resources compared to alternatives. Runs smoothly even on $10 hardware, making AI accessible to everyone.

Starts in under 1 second even on single-core 0.6GHz processors. Say goodbye to long waits, start AI conversations anytime, anywhere.

Supports x86_64, ARM64, and RISC-V architectures. From Raspberry Pi to servers, from embedded devices to cloud, deploy anywhere with one click.

Supports Telegram, Discord, QQ, DingTalk, and more. Launch gateway with one command, integrate AI into your daily workflow.

Built-in cron support with one-time reminders, recurring tasks, and standard cron expressions. Automate your daily work, free your hands.

Supports OpenRouter, Zhipu, Anthropic, OpenAI, DeepSeek, Groq, and more. Switch freely to find the AI that suits you best.

Rewritten in Go, 10x performance boost

From personal productivity to professional workflows, PicoClaw adapts to your needs.

code

Local code completion, debugging, and documentation generation. Keep your proprietary code private while getting AI assistance.

edit_note

Write blog posts, emails, and documents with AI assistance. All your drafts and ideas stay on your device.

analytics

Analyze sensitive business data locally. No data leaves your infrastructure, ensuring complete confidentiality.

calendar_month

Manage your calendar, emails, and tasks with voice commands and automation. 100+ integrations available.

school

Summarize papers, answer questions, and organize knowledge bases. Perfect for students and researchers.

api

Build custom applications with PicoClaw's REST API. Integrate AI capabilities into your existing workflows.

Single binary file, no complex configuration. Supports Windows, macOS, Linux, and more.

  • • Linux / macOS / Windows
  • • Supports x86_64 / ARM64 / RISC-V
  • • Memory ≥ 64MB (512MB recommended)
  • • LLM API Key (Optional)
  • • Interactive Chat Conversations
  • • Multi-Platform Bot Integration
  • • Smart Scheduled Task Management
  • • Long-Term Memory & Skill System

  1. 1

    Clone Repository

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

  2. 2

    Initialize Configuration

    cd picoclaw && picoclaw onboard

    Follow prompts to configure LLM API key and preferences

  3. 3

    Start Chatting

    picoclaw agent
# Or send a single message:
picoclaw agent -m "Hello, introduce yourself"

    Supports interactive conversations and single-query modes

macOS

Linux

Windows (WSL2)

Raspberry Pi

Docker

PicoClaw is an ultra-lightweight personal AI assistant built with Go, inspired by the nanobot project. It features extremely low resource usage (under 10MB memory), multi-architecture deployment, and integration with multiple messaging platforms. 95% of the core code is auto-generated by AI agents, continuously optimized through human-in-the-loop.

Compared to OpenClaw (TypeScript) and NanoBot (Python), PicoClaw reduces memory usage by 99% (from 100MB+ to 10MB) and startup time from 30 seconds to under 1 second. It also supports RISC-V architecture, running on hardware as cheap as $10, significantly lowering the barrier to entry.

PicoClaw supports multiple mainstream messaging platforms including Telegram, Discord, QQ, and DingTalk. Simply run the `picoclaw gateway` command to start the gateway service, configure the respective bot tokens, and use your AI assistant on these platforms.

PicoClaw has extremely low hardware requirements, recommended 64MB+ memory (minimum 10MB). Supports x86_64, ARM64, and RISC-V architectures, running on Raspberry Pi, embedded devices, Mac, Linux, Windows, and more.

PicoClaw supports multiple mainstream LLM providers including OpenRouter, Zhipu AI, Anthropic, OpenAI, DeepSeek, Groq, and more. You can freely switch between models to find the best balance between performance, price, and quality.

You can find PicoClaw on GitHub: github.com/sipeed/picoclaw. Star the project to follow the latest updates and feature releases!

PicoClaw has built-in cron support for various task types: one-time reminders (e.g., "remind me in 1 hour"), recurring tasks (e.g., "send daily report at 8am"), and standard cron expressions. You can easily manage scheduled tasks through configuration files to automate your workflow.