by AIFrontierLab · AI 工具 · ★ 240
🛸 AgentArk Distilling Multi-Agent Intelligence into a Single LLM Agent. Yinyi Luo1 · Yiqiao Jin2 · Weichen Yu1 · Mengqi Zhang3 · Srijan Kumar2 · Xiaoxiao Li5 · Weijie Xu4 · Xin Chen4; Jindong Wang3 1Carnegie Mellon University 2Georgia Institute of Technology 3William & Mary 4Amazon 5University of British Columbia At a glance Abstract While large language model (LLM) multi-agent systems achieve superior reasoning performance through iterative debate, practical deployment is limited by their high computational...
| Stars | 240 |
| Forks | 30 |
| Language | Python |
| Category | AI 工具 |
| License | Apache-2.0 |
| Quality Score | 70.0942760109686/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-09 |
| Created | 2026-02-02 |
| Platforms | python |
| Est. Tokens | ~522k |
These tools work well together with AgentArk for enhanced workflows:
Explore other popular ai 工具 tools:
AgentArk is Official Implementation for the Paper [AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent](https://arxiv.org/abs/2602.03955). It is categorized as a AI 工具 with 240 GitHub stars.
AgentArk is primarily written in Python. It covers topics such as agent, ai, cmu.
You can find installation instructions and usage details in the AgentArk GitHub repository at github.com/AIFrontierLab/AgentArk. The project has 240 stars and 30 forks, indicating an active community.
AgentArk is released under the Apache-2.0 license, making it free to use and modify according to the license terms.