xingyaoww/code-act
🟢Worth installingNew discovery — enrichment pending(New discovery — enrichment pending)
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
Why this repo matters
- •Introduces a novel method for LLMs to execute code for improved agent performance.
- •Directly tied to a recent ICML 2024 publication, indicating current research relevance.
- •Offers a framework and fine-tuning techniques for developing more capable LLM agents.
Key Metrics
- Stars: 1.7k
- Forks: 147
- Open Issues: 15
- Stars (7d delta): 0
- Stars (30d delta): 5
Scores & Metadata
- Trend Velocity Score: 0.00
- Opportunity Score: 50.00
- Confidence Score: 100.00
- Language: Python
- Topics:
- First Seen: 2 months ago
Star History
1.7k stars+12 over 10 snapshots8/8/2026 – 9/23/2026