by SALT-NLP · Agent Tool · ★ 196
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Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
| Stars | 196 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.75/100 |
| Open Issues | 8 |
| Last Updated | 2024-05-16 |
| Created | 2023-10-03 |
| Platforms | python |
| Est. Tokens | ~1603k |
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DyLAN is Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization. It is categorized as a Agent Tool with 196 GitHub stars.
DyLAN is primarily written in Python. It covers topics such as chatgpt, gpt4, llm.
You can find installation instructions and usage details in the DyLAN GitHub repository at github.com/SALT-NLP/DyLAN. The project has 196 stars and 28 forks, indicating an active community.
DyLAN is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to DyLAN on Agent Skills Hub include wcgw, helix, mcp-searxng. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.