Shubhamsaboo/awesome-llm-apps
A curated collection of impressive LLM-powered AI applications featuring RAG, AI Agents, Multi-agent Teams, and open-source models from leading AI providers like OpenAI, Anthropic, and Google Gemini.
Awesome AI Agents › AI Agent Ecosystems
anuj0456/pilottai
PilottAI is a comprehensive Python framework designed for building scalable and intelligent multi-agent systems. It offers advanced orchestration capabilities that enable the creation of autonomous agents working collaboratively to achieve complex goals. The framework supports hierarchical agent systems, including manager and worker roles, which facilitate intelligent task routing and context-aware processing. This hierarchical structure allows for specialized agent implementations tailored to specific tasks or domains. The framework is production-ready, featuring asynchronous processing, dynamic scaling, load balancing, and fault tolerance to ensure robust and efficient operation in real-world applications. It also includes comprehensive logging for monitoring and debugging purposes. PilottAI's advanced memory management capabilities include semantic storage, task history tracking, context preservation, and knowledge retrieval, which enhance the agents' ability to maintain and utilize relevant information over time. PilottAI integrates with multiple large language model (LLM) providers such as OpenAI, Anthropic, and Google, enabling the use of powerful AI models within the agents. It also supports document processing, WebSocket communication, and custom tool integration, making it versatile for various AI application scenarios. The framework comes with ready-to-use specialized agents for different use cases, including customer service, document processing, email handling, learning, marketing, research analysis, sales, social media management, and web search. This variety of agents demonstrates the framework's flexibility and applicability across multiple industries and tasks. PilottAI is well-documented with detailed guides, API references, and examples to help developers get started and implement best practices. The project structure is organized into core components, agents, memory management, orchestration, tools, and utilities, facilitating maintainability and extensibility. Overall, PilottAI empowers developers to build scalable, fault-tolerant, and intelligent multi-agent systems with ease, leveraging modern AI technologies and advanced orchestration techniques.
https://github.com/anuj0456/pilottai
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