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Eigent vs Codex

Side-by-side comparison for macOS

Eigent

7.0
Productivity

Desktop AI agent

Codex

8.0
Developer Tools

OpenAI's coding agent that runs in your terminal

Metric Eigent Codex
Category Productivity Developer Tools
AI Score 7.0 8.0
30-day Installs 28 86.9K
90-day Installs 76 234.7K
365-day Installs 206 391.5K
Version 0.0.90 0.128.0
Auto-updates No No
Deprecated No No
GitHub Stars 12.9K 64.4K
GitHub Forks 1.5K 8.6K
Open Issues 171 1.8K
License Apache-2.0 Apache-2.0
Language TypeScript Rust
Last GitHub Commit 1mo ago 1mo ago
First Seen Jan 16, 2026 Oct 15, 2025

Reviews

Eigent

Eigent is an open-source, local-first AI agent designed to enhance productivity by acting as a virtual coworking tool. It offers a free alternative to services like Claude Cowork, focusing on multi-agent collaboration and privacy. Ideal for developers and productivity enthusiasts seeking a decentralized AI solution.

Eigent acts as an AI-powered coworking tool to help users enhance their productivity through multi-agent collaboration.

Pros

  • + Open-source and decentralized approach to AI productivity tools
  • + Free and local-first operation, respecting user privacy
  • + Built on the Camel-AI framework, supporting multi-agent collaboration

Cons

  • - No auto-update feature, requiring manual checks for updates
  • - Early-stage development with many open issues, indicating potential instability

Codex

Codex is an AI-powered coding assistant that integrates directly into your terminal, offering real-time code generation, debugging, and automation capabilities. It's particularly beneficial for developers seeking to enhance their coding efficiency and explore AI-driven solutions within their workflow.

Codex serves as a coding assistant that runs in the terminal, providing AI-driven support for code generation and debugging.

Pros

  • + Seamless terminal integration for developers
  • + Innovative AI-driven coding assistance
  • + Open-source with active community support

Cons

  • - Lack of auto-update feature
  • - High number of open issues may indicate maturation needs