growth-os

Growth-OS is an autonomous agent designed to optimize content strategies for Twitter, specifically targeting the platform's ranking algorithm post-December 2025. It leverages an evolutionary loop combining Karpathy autoresearch, EvoHarness tree search, and an offline Twitter simulator, alongside Grok opponent study. The agent learns from lessons derived from Oyster Labs' Growth 1.0, simulating a competitive environment. Developers and researchers interested in automated content optimization and understanding Twitter's algorithm would find this agent useful.

Growth-OS automates the complex process of identifying and implementing effective content strategies on Twitter to maximize visibility within the platform's ranking algorithm. Manually testing and iterating on these strategies is time-consuming and difficult, making Growth-OS a valuable tool for those seeking to optimize their Twitter presence.