Memory-Plus
Provides a lightweight, local RAG memory store for Model Context Protocol (MCP) agents.
About
Memory-Plus is a local Retrieval-Augmented Generation (RAG) memory store designed for MCP agents, enabling them to record, retrieve, update, delete, and visualize persistent memories across sessions; it is particularly useful for developers working with multiple AI coders or anyone wanting their AI to retain information over time.
Key Features
- Visualize memory relationships using interactive graphs
- Import documents directly into memory
- Record memories for persistent storage
- Retrieve memories using keywords or topics
- Update existing memory entries
- 5 GitHub stars
Use Cases
- Maintaining context across multiple AI coder sessions
- Enabling AI agents to remember user data and preferences
- Creating a persistent knowledge base for AI agents
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