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ai.zimac/mnema

Official

by Zimac-AI

Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.

ai.zimac/mnema β€” Model Context Protocol (MCP) Server

The ai.zimac/mnema MCP server provides local-first, formally verified memory for AI agents via MCP tools for consult, learn, related, and list. It exposes a single shared store so multiple clients can access the same durable memory.

πŸ› οΈ Key Features

  • MCP interface for consult/learn/related/list
  • Single, durable memory store for agents’ learned information
  • Local storage in ~/.mnema; data does not leave the machine unless explicitly pointed elsewhere
  • β€œVerified engine”: embedded engram database is formally specified and machine-checked (property catalog)

πŸš€ Use Cases

  • Use consult to retrieve memory before taking action
  • Use learn to store durable facts
  • Use related to traverse a memory graph
  • Use list to view recent items

⚑ Developer Benefits

  • Centralized shared store across clients
  • Supports memory workflows over standard MCP

⚠️ Limitations

  • No additional capabilities beyond consult/learn/related/list are described in the provided source.