SimpleMem
ActiveDescription
SimpleMem: Efficient Lifelong Memory for LLM Agents — supports text and multimodal memory for long-term information retention and retrieval.
SimpleMem: Efficient Lifelong Memory for LLM Agents — supports text and multimodal memory for long-term information retention and retrieval.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.
An agentic memory system for LLM agents inspired by human memory mechanisms, enabling dynamic memory generation, retrieval, and consolidation with automatic memory evolution and self-organization.
An MCP server powered by Mem0 for long-term agent memory, supporting user preference memory, context-aware retrieval, and cross-session memory persistence, also useful as a Python MCP server development template.
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems. Explores short-term, long-term, and working memory engineering for AI agents.