What is a knowledge graph and how does Memento use it?

A knowledge graph stores facts and relationships between entities in a structured way. Memento uses it as a local-first database so your AI tools can persistently remember information across conversations without relying on external services.

How do I install and run Memento?

Use Docker: `docker run ghcr.io/scrypster/memento:0.1.0`. It runs via stdio transport, meaning it communicates with your MCP client through standard input/output streams.

Is my data stored locally or in the cloud?

Memento is local-first, meaning your knowledge graph and memories are stored on your machine by default. You maintain full control over your data.

What does 'hybrid search' mean in Memento?

Hybrid search combines multiple search methods (likely semantic and keyword-based) to find relevant memories. This helps you retrieve information even when you don't remember exact terms or relationships.

Can I use Memento with multiple AI tools or just one?

As an MCP server, Memento can be connected to any MCP-compatible AI tool or application, allowing you to share persistent memory across multiple tools and workflows.

MCP ServerSTDIOOfficialv0.1.0

Memento MCP Server

Store and retrieve persistent knowledge across AI conversations using a local-first knowledge graph with hybrid search. Built for developers who need AI tools to remember context and facts between sessions.

io.github.scrypster/memento

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Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Memento MCP server does

How models use it and what it is built for.

Connect to Memento

Local install — runs as a subprocess.

docker run ghcr.io/scrypster/memento:0.1.0

Resources

Where to find authoritative docs and source for Memento.

Source repository

Example prompts for Memento

Paste any of these into Agent Studio after connecting Memento.

Add this customer interaction to my knowledge graph for future reference
Search my stored memories for anything related to project architecture decisions
Show me all facts I've saved about our API rate limits and constraints
What does the documentation say about the hybrid search capabilities?

Memento MCP server — FAQ

Common questions about connecting and running Memento.

What is a knowledge graph and how does Memento use it?
A knowledge graph stores facts and relationships between entities in a structured way. Memento uses it as a local-first database so your AI tools can persistently remember information across conversations without relying on external services.
How do I install and run Memento?
Use Docker: `docker run ghcr.io/scrypster/memento:0.1.0`. It runs via stdio transport, meaning it communicates with your MCP client through standard input/output streams.
Is my data stored locally or in the cloud?
Memento is local-first, meaning your knowledge graph and memories are stored on your machine by default. You maintain full control over your data.
What does 'hybrid search' mean in Memento?
Hybrid search combines multiple search methods (likely semantic and keyword-based) to find relevant memories. This helps you retrieve information even when you don't remember exact terms or relationships.
Can I use Memento with multiple AI tools or just one?
As an MCP server, Memento can be connected to any MCP-compatible AI tool or application, allowing you to share persistent memory across multiple tools and workflows.

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