A-MEM

A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.

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.

An LLM-based intelligent agent as a digital lifeform that values warmth, authenticity and genuine connection, with long-term memory and personalized conversation.