LLM4AAMAS: Add MAS on the shelf

README.md

@@ -234,12 +234,34 @@ Many models are available at the following URLs:
 - [MetaGPT](https://github.com/geekan/MetaGPT) is a framework for creating
   generative MAS dedicated to software development.
 
+- [ChatDev](https://github.com/OpenBMB/ChatDev) is a framework for creating
+  multi-agent collaboration networks for software development.
+
 - [CAMEL](https://github.com/camel-ai/camel) proposes a generative multi-agent
   framework for accomplishing complex tasks.
 
+- [Swarm](https://github.com/openai/swarm) is framework for building
+  asynchronous generative multi-agent systems.
+
 - [AutoGen](https://github.com/microsoft/autogen) is a versatile open-source
   framework for creating generative multi-agent systems.
 
+- [Magentic-One](https://github.com/microsoft/autogen/tree/main/python/packages/autogen-magentic-one)
+  is a multi-agent architecture built on
+  [AutoGen](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.teams.html#autogen_agentchat.teams.MagenticOneGroupChat)
+  where a lead Orchestrator agent is responsible for high-level planning,
+  directing other agents and tracking task progress.
+
+- [CrewAI](https://github.com/crewAIInc/crewAI) combines LLM-based agent with precise control flow.   
+
+- [Agno](https://github.com/agno-agi/agno) is a lightweight framework for
+  building generative multi-agent systems with workflows.
+
+- [Bee Agent
+  Framework](https://github.com/i-am-bee/bee-agent-framework/tree/main) for
+  ramework for building, deploying generative multi-agent workflows managing and
+  executing structured sequences of tasks.
+
 ## Authors
 
 Maxime MORGE