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Zenmemoryai Zenmemory MCP Server

Decentralized AI Memory Infrastructure — powered by MCP and Solana Agent Kit.

Node.jsstdio

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Zenmemoryai Zenmemory, from the data

Zenmemoryai Zenmemory is a memory MCP server.

We haven't measured its tool list yet, so its token cost is unknown.

It runs locally on your machine over stdio.

Install Zenmemoryai Zenmemory MCP server

Install in Claude Code

claude mcp add zenmemoryai-zenmemory -- npx -y @iflow-mcp/zenmemoryai-zenmemory-mcp-server

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

How it compares in Memory

Against the most-starred memory servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
Zenmemoryai Zenmemory (this)——not measured—local
Memory91,356—not measuredActivelocal
Hindsight51,304—not measuredActive—
Codebase Memory46,873—not measuredActivelocal
Cognee32,506—not measuredActive—
Honcho7,681—not measuredActivehosted
All memory MCP servers

FAQ

›How do I install the Zenmemoryai Zenmemory MCP server in Claude Code?

Run: claude mcp add zenmemoryai-zenmemory -- npx -y @iflow-mcp/zenmemoryai-zenmemory-mcp-server. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Zenmemoryai Zenmemory require an API key?

No required environment variables are declared in its published metadata.

›Can I use Zenmemoryai Zenmemory as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Zenmemoryai Zenmemory in the official MCP registry?

No. It was indexed from npm.

Sources and method

Package registry (npm / PyPI)
listed
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Editorial standards are owned by Ramachandra Vikas Chamarthi, Founder & AI HPC Architect. Spot an error? Request a correction or claim the listing.

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