Context Sync
C

Context Sync

Context Sync is an open-source AI memory layer that provides persistent memory across sessions and projects for development tools, supports multiple platforms such as VS Code, Cursor, and Claude Desktop, and enables AI context synchronization through the MCP protocol.
2.5 points
2.9K

What is Context Sync?

Context Sync is an open-source server based on the Model Context Protocol (MCP) that creates a persistent memory layer for AI development tools. Imagine your AI assistant can remember the project details, architectural decisions, and code understanding discussed yesterday, even if you close the chat window or switch to a different development tool. Context Sync solves the most frustrating problem in AI development: context loss.

How to use Context Sync?

Context Sync integrates with various AI development tools through the MCP protocol. After installation, it automatically detects your development environment and runs in the background, providing functions such as project memory, code analysis, and file operations for AI tools. You just need to talk to the AI as usual, and Context Sync will provide the relevant project context when needed.

Use cases

Context Sync is particularly suitable for the following scenarios: 1. Freelancers in multi-project development - Maintain context when switching between different client projects 2. Team collaborative development - Share project architectural decisions and technology stack information 3. Long-term project development - Avoid re-explaining the project background every day 4. Cross-platform development - Synchronize context between tools such as VS Code, Cursor, and Claude Desktop

Main features

Cross-platform AI memory
Synchronize project context between different AI development tools such as VS Code, Cursor, and Claude Desktop to achieve a truly continuous development experience.
Project context management
Automatically detect and initialize projects, track technology stacks, architectural decisions, and development history, and provide structured project understanding for AI.
Notion integration
New feature: AI can directly read and write Notion pages to achieve document generation, project specification synchronization, and decision recording.
Code analysis and operation
Provide functions such as file reading, searching, and modification (approval required), and support dependency analysis, call graph tracking, and code symbol lookup.
Git integration
Get Git status, view differences, and analyze branch information to help AI understand code changes and project status.
Privacy-first architecture
100% local storage, using the SQLite database. All data is stored on your machine to ensure code privacy and security.
Advantages
Open source and free: MIT license, no fees or subscription restrictions
Local-first: All data is stored locally to protect privacy and security
Platform-independent: Supports any MCP-compatible AI tools
Efficient memory: Uses structured summaries instead of complete chat records, requiring only 1 - 3K tokens
Easy to use: Automatically configured after installation, guided by natural language for setup
Limitations
Requires MCP support: Only applicable to AI tools that support the Model Context Protocol
Mobile limitations: Currently mainly used on the desktop, with limited mobile support
Learning curve: Requires understanding of basic command-line operations and configuration concepts
Platform dependency: Some functions require support from specific editors or IDEs

How to use

Install Context Sync
Install the Context Sync server globally via npm
Restart the AI development tool
Completely restart your AI development tool (such as VS Code, Cursor, or Claude Desktop)
Initial setup
Request help in the AI chat, and Context Sync will automatically guide you through the setup
Configure Notion integration (optional)
If Notion integration is required, run the interactive setup wizard
Start using
Talk to the AI as usual, and Context Sync will provide the project context in the background

Usage examples

Switching between multi-project development
Freelancers can switch between different client projects without re-explaining the project background
Cross-platform continuous development
Developers can work on Cursor during the day and continue on Claude Desktop at night, maintaining context continuity
Automatic document generation
Automatically record architectural decisions in Notion and create project documents
New members getting up to speed quickly
New team members can quickly understand the project history and architecture through the AI

Frequently asked questions

Why don't AI companies build this feature in?
Will this fill up my context window?
Is my data safe?
Which development tools are supported?
How to handle multiple projects?
Is it free?

Related resources

GitHub repository
Source code, issue tracking, and contribution guidelines
Complete documentation
Detailed installation, configuration, and usage guides
Notion integration guide
Detailed configuration instructions for Notion API integration
Troubleshooting guide
Solutions to common problems and debugging tips
Roadmap
Feature planning and development roadmap
GitHub discussion area
Community discussions, feature requests, and experience sharing

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "context-sync": {
      "command": "npx",
      "args": ["-y", "@context-sync/server"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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