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Zeroclaw Ai Agent Runtime
Skill by adisinghstudent
skill-install — Terminal
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/adisinghstudent/zeroclaw-ai-agent-runtimeOr
---
name: zeroclaw-ai-agent-runtime
description: Expertise in ZeroClaw — the fast, lean, fully autonomous AI agent infrastructure written in Rust with swappable providers, channels, and tools
triggers:
- set up zeroclaw agent infrastructure
- deploy zeroclaw on edge hardware
- configure zeroclaw provider or model
- zeroclaw tool and channel integration
- build agentic workflow with zeroclaw
- zeroclaw cli commands and configuration
- swap zeroclaw provider or memory backend
- troubleshoot zeroclaw agent runtime
---
# ZeroClaw AI Agent Runtime
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
ZeroClaw is a zero-overhead, fully autonomous AI agent runtime written in Rust. It runs on <5MB RAM, starts in <10ms, and ships as a single static binary for ARM, x86, and RISC-V. Its trait-driven architecture makes every core system (LLM providers, communication channels, tools, memory backends, tunnels) hot-swappable without recompiling.
---
## Installation
### One-Click Setup (recommended)
```bash
curl -fsSL https://raw.githubusercontent.com/zeroclaw-labs/zeroclaw/master/install.sh | bash
Build from Source
# Prerequisites: Rust stable toolchain
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source $HOME/.cargo/env
git clone https://github.com/zeroclaw-labs/zeroclaw.git
cd zeroclaw
# Release build (optimised, small binary)
cargo build --release
# Verify binary size and startup performance
ls -lh target/release/zeroclaw
/usr/bin/time -l target/release/zeroclaw --help # macOS
/usr/bin/time target/release/zeroclaw --help # Linux
Verify Installation
zeroclaw --version
zeroclaw status
Core Concepts
| Concept | Description |
|---|---|
| Provider | LLM backend (OpenAI, Anthropic, local, custom OpenAI-compatible) |
| Channel | Input/output surface (CLI, HTTP, WebSocket, Slack, etc.) |
| Tool | Capability exposed to the agent (shell, browser, file I/O, custom) |
| Memory | Conversation + long-term storage backend (in-memory, vector DB, etc.) |
| Tunnel | Secure inbound connectivity (ngrok-style) for remote channels |
| Workspace | Scoped working directory with allowlisted paths and tool access |
Configuration
ZeroClaw uses a TOML config file. Default location: ~/.zeroclaw/config.toml (override with --config).
Minimal Config
# ~/.zeroclaw/config.toml
[provider]
kind = "openai" # or "anthropic", "ollama", "custom"
model = "gpt-4o"
api_key_env = "OPENAI_API_KEY" # env var name, never hardcode
[channel]
kind = "cli"
[workspace]
root = "/home/user/projects"
allow = ["/home/user/projects"] # explicit allowlist — nothing outside is accessible
Full Config with All Sections
Metadata
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Paste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-adisinghstudent-zeroclaw-ai-agent-runtime": {
"enabled": true,
"auto_update": true
}
}
}Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.
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