memory-cloud
★ 12
vs
awesome-mcp-servers
★ 96.8k
memory-cloud vs awesome-mcp-servers
memory-cloud: Kagura Memory Cloud is a self-hosted MCP server that gives AI agents and teams adaptive memory. It combines hybrid search with a neural memory graph that learns which memories belong together, and works with Claude, ChatGPT, Gemini and any MCP-compatible client.; awesome-mcp-servers: This repository is a curated list of awesome Model Context Protocol (MCP) servers. It focuses on production-ready and experimental MCP servers that extend AI capabilities through various integrations.
01
TL;DR
memory-cloudMCP Servers · ★ 12
Give AI agents memory that persists across conversations
awesome-mcp-serversMCP Servers · ★ 96.8k
When to choose:
- You are looking for the most comprehensive, actively maintained catalog of Model Context Protocol (MCP) servers for Cursor or Claude Desktop.
- You need categorized listings with quality badges to quickly find tested servers across databases, cloud, dev tools, and APIs.
When to skip:
- You want an interactive web UI with specs comparisons and selection guides rather than a plain markdown list (AgentIndex provides full reviews).
- You are building an MCP server from scratch and need an SDK framework (use `fastmcp` or the official SDKs instead).
02
Side-by-Side Comparison
Field
memory-cloudawesome-mcp-serversCategory
MCP Servers
MCP Servers
Stars
★ 12
★ 96.8k
License
Apache-2.0
MIT
Install Command
git clone https://github.com/kagura-ai/memory-cloud.git
git clone https://github.com/punkpeye/awesome-mcp-servers.git
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
adaptive-memory, agent-memory, ai-agents
MCP, AI, Servers
03
Features
memory-cloud01Hybrid search plus a neural memory graph
02Python SDK with REST clients and a file ingestor
03Self-hosted with an LLM knowledge base pattern
awesome-mcp-servers01Curated list of MCP servers (production-ready and experimental)
02Enables AI models to securely interact with local and remote resources
03Extends AI capabilities via file access, database connections, and API integrations
04Categorized implementations across diverse domains like databases, art, and developer tools
05Supports various programming languages and operating systems for server development
04
Use Cases
memory-cloud↳Give AI agents memory that persists across conversations
↳Share a team knowledge base with several AI clients
awesome-mcp-servers↳Allowing AI models to access local and remote resources securely
↳Integrating AI with various external APIs and databases for extended functionality
↳Unifying multiple AI tools and services through a single, intelligent MCP interface
05
Best For
memory-cloud—
awesome-mcp-serversMost PopularEssentialTrending
FAQ
FAQ
What is the difference between memory-cloud and awesome-mcp-servers?
Both memory-cloud and awesome-mcp-servers are in the MCP Servers category. memory-cloud has 12 stars, while awesome-mcp-servers has 96.8k stars.
Which is better, memory-cloud or awesome-mcp-servers?
The best choice depends on your use case. Choose memory-cloud if Give AI agents memory that persists across conversations, and awesome-mcp-servers if Allowing AI models to access local and remote resources securely.
Is memory-cloud free or open source?
Yes, memory-cloud is open source on GitHub (Apache-2.0).
Is awesome-mcp-servers free or open source?
Yes, awesome-mcp-servers is open source on GitHub (MIT).
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