#long-term-memory
7 results found
memory-mcp-server
A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across multiple sessions. It uses semantic search with embeddings to provide relevant context from past interactions and development decisions.
Pieces MCP Net
An MCP server to interact with Pieces LTM
MCP-Mem0: Long-Term Memory for AI Agents
MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!
SelfMemory
It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking and chatbot features. For B2B, it becomes a knowledge backbone, storing project context, organizational knowledge, documents, and data sources to power company-wide AI systems.
Memanto MCP
MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.