ai-agent-session-center — Codex Skill by coding-by-feng

by coding-by-feng · Codex Skill · ★ 72

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About ai-agent-session-center

AI Agent Session Center A lightweight, real-time dashboard that replaces heavy IDEs like VS Code and JetBrains for AI agent workflows. Monitor and control all your Claude Code, Gemini CLI, and Codex sessions from one place — with live SSH terminals, prompt history, tool logs, and queuing. Every session spawns an animated 3D robot in an interactive cyberdrome that visually reflects what the agent is doing. Runs on any device, anywhere. Demo Live demo → aasc.work/demo Desktop <img src="static/screenshot-project-tab-compact.png" alt="Split view w

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Quick Facts

Stars72
Forks9
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score61.48/100
Open Issues1
Last Updated2026-06-20
Created2026-02-11
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~18k

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Frequently Asked Questions

What is ai-agent-session-center?

ai-agent-session-center is Real-time dashboard that turns AI coding agent sessions (Claude Code, Gemini CLI, Codex) into animated 3D robots — with live terminals, prompt history, tool logs, and queuing. Runs on any device.. It is categorized as a Codex Skill with 72 GitHub stars.

What programming language is ai-agent-session-center written in?

ai-agent-session-center is primarily written in TypeScript. It covers topics such as ai, ai-agents, claude.

How do I install or use ai-agent-session-center?

You can find installation instructions and usage details in the ai-agent-session-center GitHub repository at github.com/coding-by-feng/ai-agent-session-center. The project has 72 stars and 9 forks, indicating an active community.

What license does ai-agent-session-center use?

ai-agent-session-center is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-agent-session-center?

The top alternatives to ai-agent-session-center on Agent Skills Hub include code-container, kindly-web-search-mcp-server, deepcontext-mcp. 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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