diff --git a/README.md b/README.md index d781998..f81876e 100644 --- a/README.md +++ b/README.md @@ -143,6 +143,11 @@ English/[įŽäŊä¸æ](https://github.com/deepseek-ai/awesome-deepseek-integrati ### AI Agent frameworks
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+ SuperAgentX | +SuperAgentX: A Lightweight Open Source AI Framework Built for Autonomous Multi-Agent Applications with Artificial General Intelligence (AGI) Capabilities. | +
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Anda | diff --git a/docs/superagentx/README.md b/docs/superagentx/README.md new file mode 100644 index 0000000..69de83c --- /dev/null +++ b/docs/superagentx/README.md @@ -0,0 +1,33 @@ +# `SuperAgentX` + +> đ¤ SuperAgentX: A lightweight autonomous true multi-agent framework with AGI capabilities. + +**SuperAgentX Source Code**: [https://github.com/superagentxai/superagentx](https://github.com/superagentxai/superagentx) + +**DeepSeek AI Agent Example**: [https://github.com/superagentxai/superagentx/blob/master/tests/llm/test_deepseek_client.py](https://github.com/superagentxai/superagentx/blob/master/tests/llm/test_deepseek_client.py) + +**Documentation** : [https://docs.superagentx.ai/](https://docs.superagentx.ai/) + +The SuperAgentX framework integrates DeepSeek as its LLM service provider, enhancing the multi-agent's reasoning and decision-making capabilities. + +## đ¤ Introduction + +`SuperAgentX` SuperAgentX is an advanced agentic AI framework designed to accelerate the development of Artificial General Intelligence (AGI). It provides a powerful, modular, and flexible platform for building autonomous AI agents capable of executing complex tasks with minimal human intervention. + + + +### ⨠Key Features + +đ Open-Source Framework: A lightweight, open-source AI framework built for multi-agent applications with Artificial General Intelligence (AGI) capabilities. + +đ¯ Goal-Oriented Multi-Agents: This technology enables the creation of agents with retry mechanisms to achieve set goals. Communication between agents is Parallel, Sequential, or hybrid. + +đī¸ Easy Deployment: Offers WebSocket, RESTful API, and IO console interfaces for rapid setup of agent-based AI solutions. + +â¨ī¸ Streamlined Architecture: Enterprise-ready scalable and pluggable architecture. No major dependencies; built independently! + +đ Contextual Memory: Uses SQL + Vector databases to store and retrieve user-specific context effectively. + +đ§ Flexible LLM Configuration: Supports simple configuration options of various Gen AI models. + +đ¤đģ Extendable Handlers: Allows integration with diverse APIs, databases, data warehouses, data lakes, IoT streams, and more, making them accessible for function-calling features. diff --git a/docs/superagentx/assets/architecture.png b/docs/superagentx/assets/architecture.png new file mode 100644 index 0000000..f155158 Binary files /dev/null and b/docs/superagentx/assets/architecture.png differ