Persistent project context runtime for AI coding agents — local-first, MCP-native, token-efficient.
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# Promem-MCP > Project Memory MCP — persistent project context for AI coding agents. Built by DIP-RO. [](https://pypi.org/project/promem-mcp/) [](https://pepy.tech/project/promem-mcp) [](https://pepy.tech/project/promem-mcp) [](https://pypi.org/project/promem-mcp/) [](https://github.com/DIP-RO/MCP_Package/blob/main/LICENSE) [](https://github.com/DIP-RO/MCP_Package/actions/workflows/ci.yml) ```bash pip install promem-mcp ``` **No database setup. No cloud. No daemon. No manual config.** Promem-MCP is a local-first, MCP-native context runtime that gives AI coding agents persistent project understanding — architecture, rules, decisions, conventions, environment intelligence, and Git context — without repeated explanations or context waste. ## Quick Start ```bash pip install promem-mcp ``` That's it. On first run, Promem-MCP **auto-detects and auto-configures** all your installed AI coding clients (Cursor, Claude, VS Code, Cline, etc.). Just restart your AI client after install. **Prefer manual control?** ```bash # See which clients are detected promem config # Auto-configure all detected clients at once promem config --all # Configure a specific client promem config cursor promem config claude-code promem config vscode ``` Or manually add to your client's MCP config: ```json { "mcpServers": { "promem-mcp": { "command": "promem", "args": [] } } } ``` > **VS Code note:** VS Code uses `"servers"` key, not `"mcpServers"`. Run `promem config vscode` for the correct format. …
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