Ultra-fast persistent memory workspace with tenant isolation and cross-model continuity.
MCP Server: io.github.msingatullin/mmw
The io.github.msingatullin/mmw MCP server provides an ultra-fast persistent memory workspace. It supports tenant isolation to separate data across tenants and enables cross-model continuity, allowing memory to remain consistent across model interactions.
๐ ๏ธ Key Features
Ultra-fast persistent memory workspace
Tenant isolation
Cross-model continuity
๐ Use Cases
Isolating memory/state between different tenants
Maintaining continuity of stored memory across different models
โก Developer Benefits
Persistent memory that can carry across model usage
Clear separation of tenant data via isolation
โ ๏ธ Limitations
Public description includes only the workspace, isolation, and continuity claims; tool list and detailed behaviors are not provided in the available data.
Official Model Context Protocol (MCP) connection kit and client configuration guides for MMW (Managed Memory Workspace).
MMW provides ultra-fast (<2ms) persistent memory, tenant isolation, and cryptographic provenance for autonomous AI agents across sessions and tool executions.
โก Quickstart
MMW supports two connection modes:
๐ก Local-First Resilient Spool (Recommended): Zero data loss. Writes are persisted instantly (<1ms) to local SQLite (~/.config/mmw/spool.db) and synchronized in the background to MMW Cloud with automatic retries if offline or network fails.
๐ Direct Cloud Remote: Connects directly via Streamable HTTP (https://mcp.mmwhub.tech/mcp).
๐ป Client Configuration
๐ก Mode A: Local-First Resilient Spool (No data loss)