Rank #2208 · on radar since 2026-07-07
code-act
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.
code-act is a AI agent on the Cresting radar since 2026-07-07, currently ranked #2208 of 2372 tracked tools with a momentum score of 19.9. It has 1,680 GitHub stars. Momentum measures how fast a tool is rising, not how big it is; the score recomputes hourly from public signals.
Momentum
19.9
24h· new7d· new
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.335 |
| Recency boost | 0.000 |
| Signal decay | 0.992 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks+0 in window · 140 latest · 2 snapshots
github · stars+0 in window · 1,680 latest · 2 snapshots
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