Codex Autoresearch — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Codex Autoresearch. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 16, 2026 • Sentiment updated: Unknown

GitHub Statistics

• GitHub Stars: 1,936
• Forks: 116
• Open Issues: 1
• Primary Language: Python
• License: MIT
• Weekly Star Velocity: +28 stars/week

Why Codex Autoresearch Stands Out

The Codex Autoresearch Skill is a self-directed iterative system that continuously improves your codebase by modifying, verifying, and retaining or discarding changes, allowing you to come back to a log of experiments and a better codebase.

Built With

Python, Codex, OpenAI

Getting Started

1. Start Codex with Goals, hooks, and Full Access enabled
2. Install the Codex Autoresearch Skill
3. Restart Codex and open your project
4. Run $codex-autoresearch and provide a goal

About

Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.

Category & Tags

Category: trading

Tags: automation, autonomous-agent, autoresearch, codex, codex-cli, codex-skill, developer-tools, iteration, openai, skill