xingyaoww/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.
Latest metrics (snapshot 2026-10-15)
| stars | 1712 |
|---|---|
| forks | 147 |
| issues | 15 |
| pushed_at | 2024-05-23T23:14:59Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 1712 |
ADC Momentum: 26/100
| Growth velocity | 43 |
|---|---|
| Consistency | 34 |
| Recency | 0 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/xingyaoww/code-act)<a href="https://agentdataco.com/repo/xingyaoww/code-act"><img src="https://agentdataco.com/badge/repo/xingyaoww/code-act.svg" alt="ADC Momentum"></a>Details
| description | 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. |
|---|---|
| url | https://github.com/xingyaoww/code-act |
| language | Python |
| license | MIT |
| topics | llm llm-agent llm-finetuning llm-framework |
| created_at | 2024-01-13T08:06:04Z |
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