NeuroStack Knowledge Graph

Example Use Cases

• 1

  Efficient, tiered retrieval of knowledge from local Markdown notes.

• 2

  Maintain and update AI memories and detect stale or outdated information.

• 3

  Harvest and integrate session transcripts and build task-scoped context for improved interactions.

Description

NeuroStack is a Python CLI and MCP server that creates a structured knowledge graph from local Markdown notes, enabling tiered retrieval of information from structured facts to full content. It supports stale note detection, typed agent memories, session transcript harvesting, and integrates with any MCP client without modifying original files. The system offers scalable search capabilities, AI-generated summaries, and neuroscience-inspired maintenance features to improve knowledge management and retrieval.