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DevMemory
by ai-provenance
Track AI code attribution and query which model wrote which line of code automatically via Git hooks.
74 stars
Updated 6 months ago
Works in:Cursor
Exposes:Tools
What it does
DevMemory is a development memory system that tracks AI code attribution. It connects your codebase to the AI tools that modified it, allowing you to query precisely which model or tool generated specific lines of code. This provides an audit trail for AI-generated contributions and enables AI-attributed error tracking in production via Sentry.
Tools
attribution lookup: Identifies the AI tool and model responsible for a specific line in a file.attribution history: Lists all commits that touched a file and their AI attribution.attribution show: Displays all attribution data for a specific file.attribution list: Lists all files currently being tracked for AI attribution.status: Checks the health of the attribution system.
Installation
Install via pip and initialize in your project:
pip install devmemory
devmemory install --mode local
For Claude Desktop configuration:
{
"mcpServers": {
"devmemory": {
"command": "devmemory",
"args": ["mcp"]
}
}
}
Supported hosts
- Claude Desktop
- Cursor
Quick install
pip install devmemory && devmemory install --mode localInformation
- Pricing
- free
- Published
- 8/4/2026
- Updated
- 6 months ago
- stars
- 74
Categories
Choose your AI client and follow the steps below.
Cursor
Add to .cursor/mcp.json or project settings.Claude Desktop
{
"mcpServers": {
"devmemory": {
"command": "devmemory",
"args": ["mcp"]
}
}
}






