poco-claw — Codex Skill by poco-ai

by poco-ai · Codex Skill · ★ 1.3k

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

About poco-claw

Poco: Your Pocket Coworker A safer, more beautiful, and easier-to-use OpenClaw alternative English | 简体中文 Core Features Secure Sandbox All tasks run in an isolated container. Feel free to install dependencies, modify files, and execute commands — without affecting the host environment. More Than a Chatbot Supports Plan Mode, conversation queueing, conversation termination ... Project management: organize and switch between tasks and contexts more effectively File uploads: accept and work with multiple file formats Polished, Productive UI Artifacts view: render and preview many formats (HTML, PDF, Markdown, images, videos, Xmind, Excalidraw, Drawio, and more) Playback view: rep

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Quick Facts

Stars1,342
Forks126
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score64.9921650347689/100
Open Issues3
Last Updated2026-06-16
Created2026-01-08
Platformsbrowser, claude-code, python
Est. Tokens~14k

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Frequently Asked Questions

What is poco-claw?

poco-claw is A more beautiful and easier-to-use alternative to OpenClaw. It features a nicer Web UI, built-in IM support, a sandboxed runtime and channel-based team collaboration. Under the hood, it is powered by . It is categorized as a Codex Skill with 1.3k GitHub stars.

What programming language is poco-claw written in?

poco-claw is primarily written in Python. It covers topics such as agent, ai, chatbot.

How do I install or use poco-claw?

You can find installation instructions and usage details in the poco-claw GitHub repository at github.com/poco-ai/poco-claw. The project has 1.3k stars and 126 forks, indicating an active community.

What license does poco-claw use?

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

What are the best alternatives to poco-claw?

The top alternatives to poco-claw on Agent Skills Hub include tokscale, Wegent, argo. 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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