MCP ServersMemorious MCP
Created at 3 months ago
by cedricvidal
Memorious-MCP is a minimal Model Context Protocol (MCP) server that provides a persistent key-value memory store with vector-similarity lookup using ChromaDB.
Categories
Tags
memory
semantic
key-value
embedding
chromadb
python
what is Memorious MCP?
Memorious MCP is a minimal Model Context Protocol (MCP) server that provides a persistent key-value memory store with vector-similarity lookup using ChromaDB, designed for AI assistants to manage long-term memory locally.
how to use Memorious MCP?
To use Memorious MCP, install it via uvx or in a virtual environment, and configure it in your MCP client. You can then use its API to store, recall, or forget memories.
key features of Memorious MCP?
- 100% Local & Private: All data processing and storage happens on your machine.
- Persistent Memory: Data persists across sessions using ChromaDB's disk-based storage.
- Semantic Search: Vector embeddings enable similarity-based memory retrieval.
- Simple API: Three intuitive tools for memory management.
- FastMCP Integration: Built on FastMCP for efficient MCP server implementation.
use cases of Memorious MCP?
- Personal Assistant Memory: Remember user preferences and habits.
- Context Preservation: Maintain conversation context across sessions.
- Knowledge Management: Store and retrieve project-specific information.
- Personalization: Enable AI assistants to provide personalized responses.
- Privacy-First AI: Keep sensitive personal data local while having persistent memory.
FAQ from Memorious MCP?
- Is my data safe with Memorious MCP?
Yes! All data is stored locally on your machine, ensuring complete privacy.
- Can I use Memorious MCP for multiple projects?
Yes! You can manage different memories for various projects using the same server.
- What programming language is Memorious MCP built with?
Memorious MCP is built with Python and requires Python version 3.12 or higher.
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