cedricvidal/memorious-mcp
Semantic Memory for MCP. 100% Local & Private. Store, recall, and forget with vector search via ChromaDB
Implements three core tools (`store`, `recall`, `forget`) built on FastMCP's stdio transport, with ChromaDB handling vector embeddings locally for semantic similarity search. Supports folder-scoped memory isolation ideal for VS Code and Claude agents, using disk-based persistent storage in a `.memorious` directory with configurable paths. Requires Python 3.12+ and processes all embeddings locally—no external API calls or cloud dependencies.
No commits in the last 6 months. Available on PyPI.
Stars
8
Forks
4
Language
Python
License
MIT
Category
Last pushed
Oct 01, 2025
Monthly downloads
80
Commits (30d)
0
Dependencies
4
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