mcasdfgf/mcp-roo-memory

Overview

This is a Python-based MCP server that provides persistent, graph-based memory for Roo Code. It stores and retrieves structured knowledge using a graph model, allowing long-term context retention across sessions via the Model Context Protocol.

Best for

Best for
Developers using Roo Code who need persistent, graph-based memory for their AI workflows

Use cases

• Store and retrieve long-term context for Roo Code sessions
• Manage structured knowledge graphs for AI assistants
• Enable persistent memory across multiple interactions

Notes

This is a Python-based MCP server that provides persistent, graph-based memory for Roo Code. It stores and retrieves structured knowledge using a graph model, allowing long-term context retention across sessions via the Model Context Protocol.

0 stars on GitHub. Last updated 2026-06-14. Licensed MIT.

Use cases

• Store and retrieve long-term context for Roo Code sessions
• Manage structured knowledge graphs for AI assistants
• Enable persistent memory across multiple interactions

Pros

• Lightweight Python implementation with minimal dependencies
• Graph-based structure captures relationships between memory entities
• Integrates via standard MCP for easy addition to Roo Code workflows

Cons

• Zero stars on GitHub indicates very early stage or low adoption
• Python-only implementation limits ecosystem compatibility
• Requires running a separate MCP server process

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