GenAI Agents
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GenAI Agents is a comprehensive collection of 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
GenAI Agents is a comprehensive collection of 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
The Multi-Agent Framework for building the first AI Software Company, enabling natural language programming with multi-role collaboration for automated requirement analysis, design, coding, and testing.
LazyLLM is a lightweight multi-agent LLM application framework offering the easiest way to build multi-agent LLM apps, with built-in RAG, knowledge graph, fine-tuning, and integration with LangChain and LlamaIndex ecosystems.
Ouroboros is a spec-driven multi-agent framework that shifts from traditional prompting to specification-driven development, supporting multi-agent collaboration, MCP tool integration, and automated workflow orchestration for building high-quality agent systems.