Memoripy is an open-source memory layer that brings human-like memory to AI agents. It provides short-term and long-term memory, enabling context-aware responses and reduced LLM costs. It works seamlessly with platforms like OpenAI and Ollama, empowering developers to build smarter, more adaptable AI systems for chatbots, autonomous systems, and more. Key features include advanced memory management, optimized LLM interaction, and concept clustering for efficient data retrieval and refined responses.
Memoripy provides both short-term and long-term memory capabilities. This allows AI agents to maintain context throughout interactions, improving the overall user experience and the efficiency of task completion. It helps in handling complex tasks, maintaining user preferences and offering personalized experiences.
By optimizing LLM calls and selectively retrieving the most relevant information from memory, Memoripy significantly reduces token usage and associated costs. This makes AI applications more cost-effective and efficient, enhancing their overall performance and scalability.
Memoripy leverages advanced techniques like concept clustering and memory decay to refine and prioritize the most valuable information, leading to more accurate and meaningful responses. This intelligent filtering helps improve response time and quality, while also focusing on relevant context.
Memoripy is designed for developers seeking to enhance AI with memory functionalities. Its open-source nature allows customization and integration into various projects. Support is available through the project's community forums and documentation.
Yes, Memoripy seamlessly integrates with popular platforms like OpenAI and Ollama. The integration is designed to be straightforward, leveraging existing APIs and SDKs to minimize disruption to your existing workflows.
The pricing model for Memoripy is open-source and free to use, under the terms of its license. There are no associated fees or subscription charges for using the core memory layer. However, depending on your usage and cloud infrastructure costs might apply.