BrainLayer Persistent Memory

Example Use Cases

• 1

  Persistent memory across multiple conversations and sessions.

• 2

  Semantic search combined with knowledge graph entity relations.

• 3

  Local-first, zero-infrastructure memory with real-time indexing and enrichment.

Description

BrainLayer provides a persistent memory layer for MCP-compatible AI agents, allowing them to remember, think, and recall information across sessions. It features 9 MCP tools including semantic search, knowledge graph entity lookup, and real-time indexing hooks. Running fully locally with no cloud dependencies, it supports enrichment via local LLMs and includes a native macOS daemon for always-on memory access.