ContextKeep
Provides infinite long-term memory for AI agents with persistent, searchable storage of project details, preferences, and snippets. Reduces token costs by retrieving only relevant memories while keeping all data stored locally.
README
<div align="center">

ContextKeep 🧠
Infinite Long-Term Memory for AI Agents
ContextKeep is a powerful, standalone memory server that gives your AI tools (Claude, Cursor, VS Code, Gemini, OpenCode) a persistent, searchable brain. Stop repeating yourself—let your AI remember.
Features • Installation • Usage • Web Dashboard • Configuration
</div>
🌟 Features
- ♾️ Infinite Context: Store unlimited project details, preferences, and snippets.
- 💰 Save Money & Tokens: Reduce context window usage by only retrieving relevant memories, lowering API costs.
- 🔌 Universal Compatibility: Works with any MCP-compliant client via Stdio (Local) or SSE (Remote).
- 🖥️ Modern Web Dashboard: Manage your memories visually with Grid, List, and Calendar views.
- 🔒 Privacy First: 100% local storage. Your data never leaves your machine.
- 🔎 Smart Search: Find exactly what you need with semantic and keyword search.
- 🐧 Linux Service: Runs silently in the background as a system service.

🚀 Installation
Prerequisites
- Python 3.10 or higher
- Git (optional)
Quick Start
-
Clone the repository:
git clone https://github.com/mordang7/ContextKeep.git cd ContextKeep -
Run the Installer:
- Linux/Mac:
python3 install.py - Windows:
python install.py
- Linux/Mac:
-
Follow the Wizard: The installer will create a virtual environment, install dependencies, and generate a custom configuration file for you.
🔌 Configuration
After installation, you will find a mcp_config.json file in the root directory. Copy its contents into your AI client's configuration.
Example Configurations
1. Claude Desktop / Gemini CLI (Local)
{
"mcpServers": {
"context-keep": {
"command": "/absolute/path/to/ContextKeep/venv/bin/python",
"args": ["/absolute/path/to/ContextKeep/server.py"]
}
}
}
2. Remote Access (SSH)
Perfect for running ContextKeep on a home server (e.g., Raspberry Pi) and accessing it from your laptop.
{
"mcpServers": {
"context-keep": {
"command": "ssh",
"args": [
"-i", "/path/to/private_key",
"user@192.168.1.X",
"'/path/to/ContextKeep/venv/bin/python'",
"'/path/to/ContextKeep/server.py'"
]
}
}
}
3. SSE Mode (Http)
If you prefer HTTP transport (great for OpenCode or web apps):
{
"mcpServers": {
"context-keep": {
"transport": "sse",
"url": "http://localhost:5100/sse"
}
}
}
🌐 Web Dashboard
ContextKeep includes a beautiful web interface to manage your memories.
- URL:
http://localhost:5000 - Features:
- Dashboard: Overview of recent memories.
- Calendar: Visual timeline of your work.
- Search: Instant filtering.
- CRUD: Create, Read, Update, Delete memories manually.
To start it manually:
./venv/bin/python webui.py
🐧 Linux Service Setup (Optional)
Run ContextKeep as a background service (systemd) on Linux/WSL:
chmod +x install_services.sh
./install_services.sh
This will install:
contextkeep-server(Port 5100)contextkeep-webui(Port 5000)
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
☕ Support the Project
If ContextKeep helps you build cool things, consider buying me a coffee!
<div align="center"> <sub>Built with ❤️ by GeekJohn</sub> </div>
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。