MCP Mem0
StaleDescription
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 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.
Context management for Claude Code with hooks for state maintenance via ledgers and handoffs. Enables MCP execution without context pollution and agent orchestration with isolated context windows for long-running conversations.
A flexible multi-interface AI agent framework supporting reasoning, tool use, memory, deep research, blockchain interaction, and MCP protocol, capable of building agent applications ranging from simple conversations to complex research tasks.
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems. Explores short-term, long-term, and working memory engineering for AI agents.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.