ego-lite

About ego-lite

The best browser for both you and your AI agents work in parallel. ego (lite) is a browser where you and your AI agents work in parallel. Your agents run multiple browser tasks in their own Spaces while your tabs stay yours, and tasks complete faster on fewer tokens. Existing tools like browser-use and agent-br

agent-skills ai-agent automation browser browser-automation claude-code codex hermes-agent skills skills-sh

Quick Facts

Stars	9,249
Forks	440
Language	JavaScript
Category	Codex Skill
License	MIT
Quality Score	69.5295150449159/100
Open Issues	85
Last Updated	2026-08-07
Created	2026-04-16
Platforms	browser, claude-code, codex, node
Est. Tokens	~15k

Compatible Skills

These tools work well together with ego-lite for enhanced workflows:

parallel-browser-mcp — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
solana-dev-skill — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
getdesign — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
canvas-cowork — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is ego-lite?

ego-lite is The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero conf. It is categorized as a Codex Skill with 9.2k GitHub stars.

What programming language is ego-lite written in?

ego-lite is primarily written in JavaScript. It covers topics such as agent-skills, ai-agent, automation.

How do I install or use ego-lite?

You can find installation instructions and usage details in the ego-lite GitHub repository at github.com/citrolabs/ego-lite. The project has 9.2k stars and 440 forks, indicating an active community.

What license does ego-lite use?

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

View on GitHub → Browse Codex Skill tools