AI Agent with MCP is a comprehensive framework designed to streamline the development of advanced AI agents capable of maintaining long-term context, performing multi-step reasoning, and adapting strategies based on memory. It leverages a modular design comprising Memory Manager, Conditional Planner, and Prompt Manager, allowing custom integrations and extension with various LLMs. The Memory Manager persistently stores past interactions, ensuring context retention. The Conditional Planner evaluates conditions at each step and dynamically selects the next action. The Prompt Manager formats inputs and chains tasks seamlessly. Built in Python, it integrates with OpenAI GPT models via API, supports retrieval-augmented generation, and facilitates conversational agents, task automation, or decision support systems. Extensive documentation and examples guide users through setup and customization.

ChatGPT Optimizer Boost-Y is designed to transform how you interact with ChatGPT, making it a more efficient and enjoyable experience. This tool brings forth several new features that allow for better customization and optimization of the AI's capabilities. Users can easily manage their prompts and responses, ensuring they get precise outputs tailored to their needs. With the ability to amplify ChatGPT's effectiveness, this extension is a must-have for anyone looking to maximize their use of AI for content creation, problem-solving, and more.