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
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ContextKeep π§
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 yourselfβlet your AI remember.
Features β’ Installation β’ Usage β’ Web Dashboard β’ Configuration
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π Features
- βΎοΈ Infinite Context: Store unlimited project details, preferences, and snippets.
- π° Save Money & Tokens: Reduce context window usage by only retrieving relevant memories, lowering API costs.
- π Universal Compatibility: Works with any MCP-compliant client via Stdio (Local) or SSE (Remote).
- π₯οΈ Modern Web Dashboard: Manage your memories visually with Grid, List, and Calendar views.
- π Privacy First: 100% local storage. Your data never leaves your machine.
- π Smart Search: Find exactly what you need with semantic and keyword search.
- π§ Linux Service: Runs silently in the background as a system service.

π 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.
π 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"
}
}
}
π 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
π§ 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)
π€ Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
β Support the Project
If ContextKeep helps you build cool things, consider buying me a coffee!
<div align="center"> <sub>Built with β€οΈ by GeekJohn</sub> </div>
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