Memory Cache System

MemOS: An Open Source System for Enhancing the Memory Capacity of Large Language Models

MemOS is an open source system focused on providing memory enhancements for Large Language Models (LLMs). It helps models better store, retrieve, and utilize contextual information through innovative memory management and scheduling mechanisms.MemOS excels in tasks such as multi-hop inference, open-domain quizzing, and temporal inference, compared...

Praxos: building a reliable structured knowledge base for AI intelligences

Praxos.ai is a kernel designed for AI Agents. It provides a development environment designed to address common challenges when building AI Intelligents, such as context management confusion, complex cue engineering, and system runtime failures. The core of Praxos works by combining various incoming...

Muscle-Mem

Muscle-Mem is an open source Python tool hosted on GitHub and developed by pig-dot-dev. It is designed to provide behavioral caching capabilities for AI agents to help reduce large language model (LLM) calls in repetitive tasks, thereby increasing runtime speed, reducing variability, and saving costs....

Mem0: an open source project that provides an intelligent memory layer for AI assistants and agents

Mem0 (pronounced "mem-zero") is an open source project that provides an intelligent memory layer for AI assistants and agents. It remembers user preferences, adapts to individual needs, and improves over time, making it ideal for customer-supported chatbots, AI assistants, and autonomous systems.Mem0 works by mixing...

PhiData: Building AI Intelligence with Memory, Knowledge and Tools

PhiData is a framework designed for developing intelligent AI assistants. It enables AI assistants to conduct long-term conversations, provide accurate business context, and perform various operations by enhancing memory, knowledge integration, and tool invocation capabilities.PhiData not only enhances the intelligence of AI assistants, but also extends their applica...