NanoClaw vs OpenClaw: Containers and a Tiny Codebase, or Everything?

NanoClaw began as a reaction to OpenClaw: the same idea of a personal agent you message from WhatsApp, Telegram or Slack, but small enough to read and with every agent locked in a container. It launched January 31, 2026, about two months after OpenClaw. The two now make very different bets about what a self-hoster wants.

Isolation

NanoClaw’s strongest argument. One Node host process routes messages to agents that each run in their own Linux container and can only see the folders you mount, so shell access stays off your host. Outbound API calls go through a credential gateway with per-agent policies and rate limits, so agents never hold raw keys. An optional hardened image from its partner Echo is available with a free account; building the image locally is the default.

OpenClaw runs on your host with sandboxing off by default. It has a sandbox and approvals you can turn on, but out of the box the agent can run commands directly, with access to your email, messages and any third-party skills you install. See Is OpenClaw safe? for the risks.

How you customize it

This is where they split hardest.

OpenClaw is configured the usual way and extended with community skills and 142 official plugins, with 64 model and media providers to choose from.

NanoClaw has no config files by design. You customize your own fork by asking Claude Code to change the code, and you add channels the same way, with /add-<channel> skills for Teams, Matrix, Google Chat, Signal, WeChat, email and others. That keeps the codebase small and yours, but it means Claude Code is part of the toolchain for customizing, debugging and adding channels.

Models

NanoClaw is built on Anthropic’s Claude Agent SDK and uses Claude by default. OpenCode, Codex and Ollama providers can be added per agent with skills, so local models are possible, but Claude is the default path. OpenClaw is model-agnostic from the start and runs local models through Ollama.

Install and platforms

NanoClaw’s setup script installs Node, pnpm and Docker if needed, then pairs a channel. It runs on macOS or Linux, and on Windows only through WSL2. Requirements: Node.js 22+, pnpm 10+, Docker, and Claude Code.

OpenClaw installs with a script, npm, desktop apps, Docker or a one-click Railway deploy, and runs on macOS, Windows and Linux with native iOS and Android apps. It needs Node 24.16+ or 26.1+, which its installer provisions.

Channels

Out of the box NanoClaw pairs Slack, Telegram, Discord, WhatsApp or iMessage, with more added through skills. You can run one or several agents per channel. OpenClaw works in 29 channels without modifying code.

Telemetry

Both phone home by default, in small ways. NanoClaw sends anonymous setup diagnostics unless you set NANOCLAW_NO_DIAGNOSTICS=1. OpenClaw sends a daily update check with version and system details unless you set update.checkOnStart: false. Neither trains on your data, and both keep state on your machine.

Scale and maturity

OpenClaw had 394,193 GitHub stars on November 8, 2026, against NanoClaw’s 31,096, and is stewarded by the nonprofit OpenClaw Foundation. Both are MIT licensed and free; you pay your model provider either way.

Verdict

• Run NanoClaw if you want OpenClaw-style chat agents with real container isolation and scoped credentials, already use Claude and Claude Code, and like the idea of owning a small fork instead of configuring a large app. Set NANOCLAW_NO_DIAGNOSTICS=1.
• Run OpenClaw if you want a different model than Claude as the default, phone and desktop apps, native Windows, or the plugin ecosystem, and you don’t want an AI coding tool in your config loop. Turn on its sandbox and approvals first.
• If you want isolation without the Claude Code dependency, ZeroClaw is the other strong option; compare them all in our OpenClaw alternatives.