官方说明7 个来源MCP 服务8 天前
ankitmalik84/notion-mcp-server
🐍 ☁️ - Notion integration
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add agentic-longterm-memory -- npx -y agentic_longterm_memory
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 5 ★ · ankitmalik84/Agentic_Longterm_Memory · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 5 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
ankitmalik84/Agentic_Longterm_Memory；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
🧠 Agentic Long-Term Memory with Notion Integration
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
This project explores the concept of long-term memory in AI agents and demonstrates how to build sophisticated agentic memory systems using various approaches and tools. **Now featuring complete Notion workspace integration and MCP (Model Context Protocol) implementation!**
Feel free to ⭐️ the repo if it helps you understand long-term memory for agents!
🚀 **What's New - Enhanced Features**
**🔥 Complete Notion Integration**
- **15+ Notion Functions**: Search, read, create, update, and analyze your Notion workspace
- **Smart Content Management**: Add paragraphs, headings, bullets, todos with intelligent formatting
- **Advanced Content Types**: Bookmarks and internal page links with URL validation
- **Workspace Analytics**: Get insights about your Notion usage patterns
- **Bulk Operations**: Handle multiple pages and operations efficiently with smart pagination
- **Function Chaining**: Complex multi-step workflows handled automatically
- **Production-Ready MCP Server**: **Complete Notion MCP Server V2.1** with bulletproof validation and comprehensive testing
**🎯 MCP (Model Context Protocol) Implementation**
- **Multiple Transport Support**: HTTP and stdio transport protocols
- **Production Ready**: Deployable MCP servers with fallback strategies
- **Tool Discovery**: Automatic tool registration and discovery
- **Error Handling**: Comprehensive error management and recovery
📚 **Comprehensive Documentation**
**📖 Core Documentation**
- **🤖 Complete System Explanation** - _Detailed walkthrough of the entire chatbot system_
- **🔧 How MCP Tools Work** - _Deep dive into MCP implementation and tool mechanics_
- **🚀 Notion Integration Guide** - _Complete Notion ServerV2 integration documentation_
- **🔗 Notion MCP Server** - _**Complete Notion MCP Server V2.1** - Production-ready server with bulletproof validation_
**🔍 Implementation Guides**
- **📊 MCP Implementation Comparison** - _Comparison of different MCP implementation approaches_
- **🎯 MCP Notion README** - _Specific MCP Notion integration setup and usage_
- **⚙️ Production Configuration** - _Production deployment and configuration guide_
**🧠 Memory System Research**
- **Memory in LLM Agents** - _Research paper reference_
- **MemGPT Paper** - _PDF available in the repo_
📚 **What You'll Learn**
1. How to design a **custom agentic long-term memory** system
2. How to implement **long-term memory using Vector DB and Graph DB** with **LangChain** and **LangGraph**
3. How to structure memory into **semantic**, **episodic**, and **procedural** components
4. **Complete Notion workspace integration** with natural language processing
5. **MCP (Model Context Protocol)** implementation for scalable tool integration
6. **Production-ready MCP server development** - see our **Notion MCP Server V2.1**
7. **Advanced function chaining** for complex multi-step workflows
8. **Production-ready deployment** strategies and configurations
💾 **How to Run the Project**
⚠️ **Note**: Please use Python 3.11 as Python 3.12 may cause compatibility issues with some dependencies.
**1. Environment Setup**
**2. Database Preparation**
**3. Environment Variables**
**4. Run the Enhanced Chatbot**
**5. Test the Integration**
🎯 **Available Chatbot Versions**
**Version 1: Basic Chatbot** (basic_chatbot_v1.py)
- Simple conversation handling
- Basic OpenAI integration
**Version 2: Agentic Chatbot** (chatbot_agentic_v2.py)
Feel free to ⭐️ the repo if it helps you understand long-term memory for agents!
🚀 **What's New - Enhanced Features**
**🔥 Complete Notion Integration**
- **15+ Notion Functions**: Search, read, create, update, and analyze your Notion workspace
- **Smart Content Management**: Add paragraphs, headings, bullets, todos with intelligent formatting
- **Advanced Content Types**: Bookmarks and internal page links with URL validation
- **Workspace Analytics**: Get insights about your Notion usage patterns
- **Bulk Operations**: Handle multiple pages and operations efficiently with smart pagination
- **Function Chaining**: Complex multi-step workflows handled automatically
- **Production-Ready MCP Server**: **Complete Notion MCP Server V2.1** with bulletproof validation and comprehensive testing
**🎯 MCP (Model Context Protocol) Implementation**
- **Multiple Transport Support**: HTTP and stdio transport protocols
- **Production Ready**: Deployable MCP servers with fallback strategies
- **Tool Discovery**: Automatic tool registration and discovery
- **Error Handling**: Comprehensive error management and recovery
📚 **Comprehensive Documentation**
**📖 Core Documentation**
- **🤖 Complete System Explanation** - _Detailed walkthrough of the entire chatbot system_
- **🔧 How MCP Tools Work** - _Deep dive into MCP implementation and tool mechanics_
- **🚀 Notion Integration Guide** - _Complete Notion ServerV2 integration documentation_
- **🔗 Notion MCP Server** - _**Complete Notion MCP Server V2.1** - Production-ready server with bulletproof validation_
**🔍 Implementation Guides**
- **📊 MCP Implementation Comparison** - _Comparison of different MCP implementation approaches_
- **🎯 MCP Notion README** - _Specific MCP Notion integration setup and usage_
- **⚙️ Production Configuration** - _Production deployment and configuration guide_
**🧠 Memory System Research**
- **Memory in LLM Agents** - _Research paper reference_
- **MemGPT Paper** - _PDF available in the repo_
📚 **What You'll Learn**
1. How to design a **custom agentic long-term memory** system
2. How to implement **long-term memory using Vector DB and Graph DB** with **LangChain** and **LangGraph**
3. How to structure memory into **semantic**, **episodic**, and **procedural** components
4. **Complete Notion workspace integration** with natural language processing
5. **MCP (Model Context Protocol)** implementation for scalable tool integration
6. **Production-ready MCP server development** - see our **Notion MCP Server V2.1**
7. **Advanced function chaining** for complex multi-step workflows
8. **Production-ready deployment** strategies and configurations
💾 **How to Run the Project**
⚠️ **Note**: Please use Python 3.11 as Python 3.12 may cause compatibility issues with some dependencies.
**1. Environment Setup**
**2. Database Preparation**
**3. Environment Variables**
**4. Run the Enhanced Chatbot**
**5. Test the Integration**
🎯 **Available Chatbot Versions**
**Version 1: Basic Chatbot** (basic_chatbot_v1.py)
- Simple conversation handling
- Basic OpenAI integration
**Version 2: Agentic Chatbot** (chatbot_agentic_v2.py)
- 来源
- awesome · https://github.com/ankitmalik84/Agentic_Longterm_Memory/tree/main/src/
- 按领域浏览
- MCP 服务
- Traction
- 5 ★
- 收录于
- 昨天
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每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。