poco-agent — Claude Skill by poco-ai

by poco-ai · Claude Skill · ★ 1.1k

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About poco-agent

Poco: Your Pocket Coworker A safer, more beautiful, and easier-to-use OpenClaw alternative English | 简体中文 Core Features Server and Channel Collaboration Work in long-lived servers with channels, DMs, and reply threads. Mention persistent agents in the conversation, turn messages into trackable tasks, inspect execution progress in the drawer, and publish outputs into shared files for people and other agents to reuse. Secure Sandbox All tasks run in an isolated container. Feel free to install dependencies, modify files, and execute commands — without affecting the host environment. Local Directory Mounting — mount host directories into the sandbox so the agent can work with your real project files direct

agentaichatbotclaude-codeclawdbotmanusopenclaw

Quick Facts

Stars1,122
Forks104
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score45.25/100
Open Issues1
Last Updated2026-03-09
Created2026-01-08
Platformsbrowser, claude-code, node
Est. Tokens~1007k

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Frequently Asked Questions

What is poco-agent?

poco-agent is A more beautiful and easier-to-use alternative to OpenClaw. It features a nicer Web UI, built-in IM support, and a sandboxed runtime for improved safety. Under the hood, it is powered by a Claude Code. It is categorized as a Claude Skill with 1.1k GitHub stars.

What programming language is poco-agent written in?

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

How do I install or use poco-agent?

You can find installation instructions and usage details in the poco-agent GitHub repository at github.com/poco-ai/poco-agent. The project has 1.1k stars and 104 forks, indicating an active community.

What license does poco-agent use?

poco-agent 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-agent?

The top alternatives to poco-agent 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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