| Name | Version | Summary | date |
| advanced_research |
0.1.5 |
Advanced Multi-Agent Research System - Enhanced implementation of Anthropic's orchestrator-worker pattern with 90.2% performance improvement over single-agent systems |
2025-08-12 04:49:49 |
| agent-lobbi |
1.0.1 |
Enhanced A2A+ Agent Collaboration Platform with Advanced Metrics and Neuromorphic Intelligence |
2025-07-15 23:17:29 |
| royalflush |
0.3.2 |
Royal FLush is a Python framework specifically designed to facilitate the development, execution and analysis of multi-agent systems (MAS) federated learning (FL) experiments. |
2025-01-17 01:12:31 |
| langagent |
2.1.6 |
LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. |
2024-12-06 08:03:36 |
| LangAgent |
0.3.1 |
LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. |
2024-10-04 18:32:40 |
| multi-agent-decision |
0.3 |
Simulates the actions which agents take under multi-agent systems and social networks |
2024-04-14 04:00:08 |
| multi-agent-coordination |
0.2 |
Identification of strategic choices under multi-agent systems, coordination game and social networks |
2024-04-13 15:16:00 |