| Name | Version | Summary | date |
| swarms |
6.7.5 |
Swarms - TGSC |
2024-12-21 01:49:28 |
| liteswarm |
0.2.0 |
A lightweight framework for building AI agent systems |
2024-12-20 16:36:22 |
| zetascale |
2.7.7 |
Rapidly Build, Optimize, and Train SOTA AI Models |
2024-12-15 21:46:57 |
| Mesa |
3.1.1 |
Agent-based modeling (ABM) in Python |
2024-12-14 16:26:38 |
| gpt-multi-atomic-agents |
0.6.3 |
Combine multiple graphql-based or function-based agents with dynamic routing - based on atomic-agents. |
2024-12-12 19:40:13 |
| aegis-framework |
0.1.18 |
A comprehensive, extensible AI agent framework with local LLM integration |
2024-11-25 16:52:28 |
| agentsys |
0.7.0 |
An educational multi-agent orchestration framework |
2024-11-18 04:40:57 |
| archeai |
0.0.5 |
ArcheAI is a lightweight Python framework that simplifies AI agent development. Build smarter, more capable agents with ease using ArcheAI's easy tool integration, LLM interaction, and agent orchestration. |
2024-11-14 18:50:05 |
| fastagency |
0.3.4 |
The fastest way to bring multi-agent workflows to production |
2024-11-12 15:33:52 |
| metagpt-simple |
0.8.1.20241029 |
The Multi-Agent Framework |
2024-10-29 15:31:55 |
| Mesa-Geo |
0.8.1 |
GIS Agent-based modeling (ABM) in Python |
2024-09-03 20:21:37 |
| momaland |
0.1.1 |
A standard API for Multi-Objective Multi-Agent Decision making and a diverse set of reference environments. |
2024-06-19 12:43:17 |
| maadstml |
3.48 |
Multi-Agent Accelerator for Data Science (MAADS): Transactional Machine Learning |
2024-04-17 14:20:24 |
| scml-vis |
0.3.2 |
"A simple visualiser for SCML worlds and tournaments" |
2024-04-12 04:45:53 |
| negmas |
0.10.23 |
NEGotiations Managed by Agent Simulations |
2024-04-07 03:49:12 |
| multigrid |
0.1.0 |
Fast multi-agent gridworld reinforcement learning environments. |
2023-07-13 17:12:56 |