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ZeroClaw is the runtime operating system for agentic workflows — a single Rust binary that abstracts AI models, communication channels, tools, memory, and execution so you can build agents once and run them anywhere. It starts in under 10ms, uses less than 5MB RAM, and runs on everything from a $10 board to a cloud VM.

Quickstart

Set up ZeroClaw and send your first agent message in minutes

Installation

Install on Linux, macOS, Windows, or ARM devices

Configuration

Configure providers, channels, memory, and runtime options

CLI Reference

Complete reference for all ZeroClaw commands and flags

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Why ZeroClaw

ZeroClaw is built for teams and individuals who need an autonomous AI assistant that is lean, secure, and fully under their control.

Lean by default

Less than 5MB RAM and sub-10ms cold starts. Runs on a $10 ARM board with the same binary as your production server.

Secure by design

Gateway pairing, strict sandbox, filesystem scoping, encrypted secrets, and deny-by-default channel allowlists.

Fully swappable

Every subsystem is a trait — swap AI providers, messaging channels, memory backends, and tools with a single config line.

No lock-in

OpenAI-compatible and Anthropic-compatible provider support. Run any model locally with Ollama, llama.cpp, or vLLM.

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Get started in three steps

1

Install ZeroClaw

Install via Homebrew, the one-line script, or download a pre-built binary for your platform.
# macOS / Linuxbrew
brew install zeroclaw

# One-line installer
curl -fsSL https://raw.githubusercontent.com/zeroclaw-labs/zeroclaw/master/install.sh | bash
2

Run onboarding

Configure your AI provider, channels, and workspace in a single command.
zeroclaw onboard --api-key sk-... --provider openrouter
3

Chat with your agent

Send a one-shot message or launch an interactive session.
# Single message
zeroclaw agent -m "Summarize the files in my workspace"

# Interactive mode
zeroclaw agent

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Explore by topic

Deployment

Run ZeroClaw as a daemon, background service, or in Docker

Channels

Connect Telegram, Discord, Slack, WhatsApp, and 70+ more

Providers

OpenAI, Anthropic, Ollama, llama.cpp, vLLM, and custom endpoints

Memory

SQLite hybrid search, PostgreSQL, Markdown, or no-op backends

Security

Pairing, sandboxing, allowlists, encrypted secrets

Hardware

Run on ARM boards, Android, STM32, and Raspberry Pi

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