AgentIndex icon
AgentIndex
memory-cloud logo
memory-cloud
★ 12
vs
MCP-Chinese-Getting-Started-Guide logo
MCP-Chinese-Getting-Started-Guide
★ 3.6k

memory-cloud vs MCP-Chinese-Getting-Started-Guide

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.; MCP-Chinese-Getting-Started-Guide: This guide provides a rapid introduction to the Model Context Protocol (MCP), an open-source protocol standardizing LLM interactions with external data and tools. It demonstrates building and debugging MCP servers, developing MCP clients for LLMs like DeepSeek, and integrating with Claude Desktop.

01

TL;DR

memory-cloud logo
memory-cloudMCP Servers · ★ 12

Give AI agents memory that persists across conversations

Read memory-cloud full review →
MCP-Chinese-Getting-Started-Guide logo
MCP-Chinese-Getting-Started-GuideMCP Servers · ★ 3.6k

Enhancing LLMs with real-time web search capabilities

Read MCP-Chinese-Getting-Started-Guide full review →
02

Side-by-Side Comparison

Field
memory-cloud logomemory-cloud
MCP-Chinese-Getting-Started-Guide logoMCP-Chinese-Getting-Started-Guide
Category
MCP Servers
MCP Servers
Stars
★ 12
★ 3.6k
License
Apache-2.0
—
Install Command
git clone https://github.com/kagura-ai/memory-cloud.git
uv add "mcp[cli]" httpx openai
Updated
1d ago
1y ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
adaptive-memory, agent-memory, ai-agents
MCP, LLM, Python
03

Features

memory-cloud logomemory-cloud
01Hybrid search plus a neural memory graph
02Python SDK with REST clients and a file ingestor
03Self-hosted with an LLM knowledge base pattern
MCP-Chinese-Getting-Started-Guide logoMCP-Chinese-Getting-Started-Guide
01Standardized Tool Integration
02Multiple Transport Protocols (stdio, SSE)
03Sampling/Tool Call Hooks
04Prompt Templating
05Resource Management
04

Use Cases

memory-cloud logomemory-cloud
↳Give AI agents memory that persists across conversations
↳Share a team knowledge base with several AI clients
MCP-Chinese-Getting-Started-Guide logoMCP-Chinese-Getting-Started-Guide
↳Enhancing LLMs with real-time web search capabilities
↳Implementing human-in-the-loop validation for tool executions
↳Extending LLM clients with custom tools and resources
FAQ

FAQ

What is the difference between memory-cloud and MCP-Chinese-Getting-Started-Guide?
Both memory-cloud and MCP-Chinese-Getting-Started-Guide are in the MCP Servers category. memory-cloud has 12 stars, while MCP-Chinese-Getting-Started-Guide has 3.6k stars.
Which is better, memory-cloud or MCP-Chinese-Getting-Started-Guide?
The best choice depends on your use case. Choose memory-cloud if Give AI agents memory that persists across conversations, and MCP-Chinese-Getting-Started-Guide if Enhancing LLMs with real-time web search capabilities.
Is memory-cloud free or open source?
Yes, memory-cloud is open source on GitHub (Apache-2.0).
Is MCP-Chinese-Getting-Started-Guide free or open source?
Yes, MCP-Chinese-Getting-Started-Guide is open source on GitHub.
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Related

Alternatives to memory-cloud →Alternatives to MCP-Chinese-Getting-Started-Guide →memory-cloud details →MCP-Chinese-Getting-Started-Guide details →