by 0xSanei · Codex Skill · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules. <img src="https://colab.research.goog
| Stars | 101 |
| Forks | 8 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 47.598/100 |
| Last Updated | 2026-04-13 |
| Created | 2026-04-03 |
| Platforms | python |
| Est. Tokens | ~71k |
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darwinia is The Self-Evolving Agent Ecosystem — Trading agents that evolve through Darwinian selection and adversarial self-play. It is categorized as a Codex Skill with 101 GitHub stars.
darwinia is primarily written in Python. It covers topics such as adversarial-testing, ai-agents, autonomous-agents.
You can find installation instructions and usage details in the darwinia GitHub repository at github.com/0xSanei/darwinia. The project has 101 stars and 8 forks, indicating an active community.
darwinia is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to darwinia on Agent Skills Hub include stratevo, LockKnife, swarmclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.