by qwibitai · Claude Skill · ★ 28.6k
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An AI assistant that runs agents securely in their own containers. Lightweight, built to be easily understood and completely customized for your needs. nanoclaw.dev • 中文 • • Using Claude Code, NanoClaw can dynamically rewrite its code to customize its feature set for your needs. New: First AI assistant to support Agent Swarms. Spin up teams of agents that collaborate in your chat. Why I Built NanoClaw OpenClaw is an impressive project, but I wouldn't have been able to sleep if I had given complex software I didn't understand full access to my life. OpenClaw has nearly half a million lines of code, 53 config files, and 70+ dependencies. Its security is at the application level (allowlists, pairing codes) rather than true OS-level isolation. Everything runs in one Node process with shared memory. NanoClaw provides that same core functionality, but in a co
| Stars | 28,595 |
| Forks | 12,766 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 54.946/100 |
| Open Issues | 788 |
| Last Updated | 2026-05-05 |
| Created | 2026-01-31 |
| Platforms | claude-code, node |
| Est. Tokens | ~1070k |
These tools work well together with nanoclaw for enhanced workflows:
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nanoclaw is A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs direct. It is categorized as a Claude Skill with 28.6k GitHub stars.
nanoclaw is primarily written in TypeScript. It covers topics such as ai-agents, ai-assistant, claude-code.
You can find installation instructions and usage details in the nanoclaw GitHub repository at github.com/qwibitai/nanoclaw. The project has 28.6k stars and 12766 forks, indicating an active community.
nanoclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nanoclaw on Agent Skills Hub include hermes-agent, claude-mem, oh-my-openagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.