#typescript #agents #ai_agents #ai_agents_framework #anthropic_claude #aws #aws_bedrock #aws_cdk #aws_lambda #chatbot #framework #generative_ai #machine_learning #openai #openaiapi #orchestrator #python #serverless #typescript

The Multi-Agent Orchestrator is a powerful tool that helps manage multiple AI agents to handle complex conversations. It intelligently routes user queries to the most suitable agent based on context and content, ensuring coherent interactions. Here are the key benefits Automatically directs user queries to the right agent.
- **Context Management** Supports both streaming and non-streaming responses, and can run on various platforms including AWS Lambda and local environments.
- **Customization** Comes with ready-to-use agents and classifiers for quick deployment.

This makes it ideal for applications ranging from simple chatbots to sophisticated AI systems, providing efficient and scalable solutions.

https://github.com/awslabs/multi-agent-orchestrator

#jupyter_notebook #agents #ai #ai_agent_framework #ai_agent_sdk #ai_agents #ai_agents_framework #ai_agents_sdk #ai_framwork #aiagent #aiagentframework #aiagents #aiagentsframework #framework #multi_agent #multi_agent_collaboration #multi_agent_system #multi_agent_systems #multi_agents #multi_ai_agent #multi_ai_agents

PraisonAI is a powerful tool that helps you build and manage AI agents easily. It combines different frameworks like CrewAI and AutoGen to create multi-agent systems with minimal coding. Here are the key benefits You can quickly create AI agents without much coding.
- **Multiple Interfaces** The tool allows internet searches to get up-to-date information.
- **Vision Language Model Support** You can integrate custom tools and configure the system using YAML files.
- **Low-Code Solution**: It offers both no-code and coding options, making it accessible to users of all skill levels.

Overall, PraisonAI simplifies the process of working with AI agents, making it easier to automate tasks, collaborate with AI, and customize your workflow.

https://github.com/MervinPraison/PraisonAI

#python #agents #ai_agents #ai_agents_framework #artificial_intelligence #developer_tools #devtools #generative_ai #knowledge_graph #memory #rag

Potpie is an open-source platform that helps you automate code analysis, testing, and development tasks. It creates AI agents that understand your codebase deeply, allowing them to assist with debugging, feature development, and more. You can use pre-built agents for common tasks like debugging and testing, or create custom agents to handle specific needs. Potpie integrates seamlessly into your existing development workflow and works with codebases of any size or language. This makes it easier for developers to understand the codebase quickly, review code changes, and generate tests, saving time and improving efficiency.

https://github.com/potpie-ai/potpie

#jupyter_notebook #agentic_ai #agentic_framework #agentic_rag #ai_agents #ai_agents_framework #autogen #generative_ai #semantic_kernel

This course helps you learn about AI Agents from the basics to advanced levels. AI Agents are systems that use large language models to perform tasks by accessing tools and knowledge. The course includes 10 lessons covering topics like agent fundamentals, frameworks, and use cases. It provides code examples and supports multiple languages. By completing this course, you can build your own AI Agents and apply them in various applications, such as customer support or event planning, making complex tasks easier and more efficient.

https://github.com/microsoft/ai-agents-for-beginners