LLMs interact with Memos server via MCP for searching, creating, retrieving, and managing memos using this Python package.
A basic persistent memory implementation using a local knowledge graph, enabling Claude to remember user information across chats.
MCP server enabling persistent memory for Claude through a local knowledge graph, focused on local development and improved implementation.
Memory Cache Server efficiently caches data between language model interactions, reducing token consumption for MCP clients.
Titan Memory MCP is a neural memory system for LLMs, enabling learning, prediction, and state maintenance across interactions.
MCP Memory Server: Manages structured memory for Claude Desktop across chat sessions, enhancing project-based context and knowledge retention.
Enhances MCP memory server with custom memory locations and timestamping for better knowledge graph management via language models.
Basic Memory: Build persistent knowledge graphs from AI conversations, stored as Markdown files for full data control and Obsidian integration.
MCP server for sequential thinking & story, mnemonic techniques for problem-solving, enhancing memory retention and understanding.
MemoryMesh: A knowledge graph server using MCP for structured memory persistence in AI models, enhancing text-based RPGs and storytelling.
