awesome-claws — Agent Tool by machinae

by machinae · Agent Tool · ★ 341

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About awesome-claws

Awesome Claws A curated list of awesome AI agents inspired by OpenClaw. Main Projects OpenClaw - TypeScript - The original full-featured personal AI assistant with multi-agent routing, voice wake, live canvas, companion apps, and 15+ messaging channels. PicoClaw - Go - Ultra-efficient assistant for low-cost hardware with AI-bootstrapped migration, single-binary deploy, and support for old Android phones. ZeroClaw - Rust - Trait-driven, zero-overhead AI infrastructure with a fully swappable core that deploys across environments. nanobot - Python - Ultra-lightweight OpenClaw-style assistant focused on research workflows, one-click deploy, MCP support, and agent social networking. TinyClaw - Shell / TypeScript - Multi-agent, multi-team, multi-channel assistant where agents collaborate via chain execution and fan-out in isolated workspaces. [Nano

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Quick Facts

Stars341
Forks41
CategoryAgent Tool
LicenseMIT
Quality Score57.7105377393874/100
Open Issues1
Last Updated2026-03-17
Created2026-02-19
Platformsaws
Est. Tokens~3k

Compatible Skills

These tools work well together with awesome-claws for enhanced workflows:

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Frequently Asked Questions

What is awesome-claws?

awesome-claws is A curated list of awesome AI agents inspired by OpenClaw. It is categorized as a Agent Tool with 341 GitHub stars.

How do I install or use awesome-claws?

You can find installation instructions and usage details in the awesome-claws GitHub repository at github.com/machinae/awesome-claws. The project has 341 stars and 41 forks, indicating an active community.

What license does awesome-claws use?

awesome-claws is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-claws?

The top alternatives to awesome-claws on Agent Skills Hub include awesome-agent-skills, awesome-web-agents, awesome-ai-sdks. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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