Agentic Memory
StaleDescription
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems. Explores short-term, long-term, and working memory engineering for AI agents.
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems. Explores short-term, long-term, and working memory engineering for AI agents.
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.
An open-source AI coworker with persistent memory, supporting multi-turn conversations and context retention for knowledge management and collaborative task completion.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.
Local persistent memory store for LLM applications including Claude Desktop, GitHub Copilot, Codex, and more. Provides durable context memory capabilities for AI agents.