amem AI Memory Layer

Example Use Cases

• 1

  Persistent memory to recall user preferences and past corrections across sessions.

• 2

  Maintain project-specific context and architectural decisions automatically.

• 3

  Consolidate and rank relevant memories to improve response accuracy.

Description

amem is a local-first memory layer that integrates with any AI tool supporting the Model Context Protocol (MCP). It stores and recalls important memories such as corrections, decisions, patterns, and preferences, enabling AI assistants to maintain context across conversations without repeating information. It features smart ranking, conflict detection, memory consolidation, and project scoping, all running entirely on the user's machine with no cloud dependencies.