memento-mcp

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Memento MCP: A Knowledge Graph Memory System for LLMs

Stars

420

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Forks

61

Contributors

2

npm DL / wk

PyPI DL / wk

Language

TypeScript

Last push

2025-10-27

About memento-mcp

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., Claude Desktop, Cursor, Github Copilot) with resilient, adaptive, and persistent long-term ontological memory. Entities are the primary nodes in the knowledge graph. Each entity has: Relations define directed connections between entities with enhanced properties:

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

memento-mcp alternatives

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Frequently asked questions

Is memento-mcp still maintained?
Activity is low: the last push was on 2025-10-27 (234 days before our latest snapshot).
What are the best memento-mcp alternatives?
Closest by category and size in our data: TencentEdgeOne/edgeone-pages-mcp, com.gitkraken/gk-cli, io.github.formulahendry/spec-driven-development — full list with live signals above.

Topics

Knowledge GraphsVector Databasescursormodelcontextprotocolclaude-desktopknowledge-graphvector-databaseneo4j

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Tracked since 2026-06-17 · data as of 2026-06-18 · 20 open issues · 2 releases