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Memento MCP server

by jee1·io.github.jee1/memento-mcp-server·v1.32.0

Agent memory MCP server with 4-type cognitive memory, hybrid search, and TTL-based forgetting.

B77/100grade B
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Safety scan
B77/100

not scanned yet

Adoption
Growing

0 stars293 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Memento tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New registry listings are scanned within a day of import.

Install directly

Runs npx -y memento-mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add memento-mcp-server -- npx -y memento-mcp-server
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Memento: common questions

Is Memento MCP server safe?
Mostly: it is graded B (77/100). Read the Memento safety report
How do I install Memento?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Memento need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Memento maintained?
The last commit was in the last day (2026-09-19). The latest release is v1.32.0.
What can I use instead of Memento?
Servers from other publishers that do the same job: IWE MCP server, ContextStream MCP Server and PDF MCP server. Compare all Memento alternatives.

Alternatives to Memento

Same job from other publishers: the closest match first, then the best rated.

All Memento alternatives →
  • IWE
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • ContextStream MCP Server
    Project memory, semantic code search, and grounded agent context.
    A
  • PDF
    Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.
    A
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A
  • haiku.rag
    Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval
    A

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