Is the MemoryMesh MCP server actively maintained?

The MemoryMesh MCP server was last committed 8mo ago and has 4 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

MemoryMesh MCP Server

Name: CheMiguel23/MemoryMesh
Rating: 3.1 (1 reviews)
Author: CheMiguel23

CheMiguel23/MemoryMesh

Score: 53.1 ↓ 1.1% Rank #14060 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/CheMiguel23--MemoryMesh)](https://agentrank-ai.com/tool/CheMiguel23--MemoryMesh/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of CheMiguel23/MemoryMesh? Claim this listing →

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

Add AgentRank to Claude Code Discover and compare tools like CheMiguel23/MemoryMesh — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

CheMiguel23/MemoryMesh is a TypeScript MCP server licensed under MIT. A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models. Topics: ai, mcp.

Ranked #14060 out of 24846 indexed tools.

Ecosystem

TypeScript MIT

aimcp

Score Breakdown

Stars 15% 354

354 stars → growing community

Freshness 25% 8mo ago

Last commit 8mo ago → stale

Issue Health 25% 50%

8/16 issues closed → decent issue management

Contributors 10% 4

4 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 49

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 240 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/CheMiguel23--MemoryMesh)](https://agentrank-ai.com/tool/CheMiguel23--MemoryMesh/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/CheMiguel23--MemoryMesh/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/CheMiguel23--MemoryMesh" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="CheMiguel23/MemoryMesh"></script>

Details

Stars: 354
Forks: 49
Open Issues: 8
Closed Issues: 8
Contributors: 4
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 8mo ago

Matched Queries

"model context protocol""model-context-protocol"topic:mcp

From the README

# MemoryMesh

MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions.

*The project is based on the [Knowledge Graph Memory Server](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) from the MCP servers repository and retains its core functionality.*

<a href="https://glama.ai/mcp/servers/kf6n6221pd"></a>

## IMPORTANT

**v0.3.0 Update:** The MCP SDK has been updated from v1.0.4 to v1.25.2 to comply with the current [Model Context Protocol specification (2025-11-25)](https://modelcontextprotocol.io/specification/2025-11-25). This is a major update that brings compatibility with the latest MCP clients including Claude Desktop, ChatGPT, Cursor, Gemini, and VS Code. After updating, run `npm install` to fetch the new dependencies.

Since `v0.2.7` the default location of schemas was ch

Read full README on GitHub →