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Neurodivergent Memory MCP Server

Status: Research Preview (pre-1.0) · Current Version: 0.1.3 · Released: 2026-03-28

A TypeScript-based MCP server implementing a memory system inspired by neurodivergent cognitive styles. It organizes thoughts into five districts (knowledge domains), ranks search results using BM25 semantic ranking, and stores memories as a persistent knowledge graph with bidirectional connections.

Quick Links

Page	Description
Architecture	District model, tag schema, archetypes, tools, retrieval, and graph operations
Getting Started	Installation, Claude Desktop config, Docker, and MCP Inspector
Release Notes	Full changelog from v0.1.1 through v0.1.3
Roadmap	Milestones from 0.2.x through 1.0.0
Experiment Report	Smoke test results, performance metrics, and validation
White Paper	Full research preview white paper (v0.1.3)

Model Flow

flowchart LR
  A[Client MCP Request] --> B[MCP Server Stdio Transport]
  B --> C{Request Type}
  C -->|Tools| D[Tool Handler]
  C -->|Resources| E[Resource Handler]
  C -->|Prompts| F[Prompt Handler]

  D --> G[NeurodivergentMemory Core]
  E --> G
  F --> G

  G --> H[Memory Graph Store]
  G --> I[BM25 Index]
  H --> J[Persisted JSON Snapshot]

  D --> K[MCP JSON Response]
  E --> K
  F --> K
  K --> A

Loading

• Memory operations update both graph state and BM25 index.
• Persistence writes to the local snapshot file for restart continuity.
• All MCP responses return through stdio transport.

Features at a Glance

Five Memory Districts

District	Purpose
logical_analysis	Structured thinking, problem solving, analytical processes
emotional_processing	Feelings, emotional responses, affective states
practical_execution	Action-oriented thoughts, tasks, implementation
vigilant_monitoring	Awareness, safety concerns, protective thinking
creative_synthesis	Novel connections, creative insights, innovative thinking

11 Memory Tools

store_memory · retrieve_memory · update_memory · delete_memory · connect_memories · search_memories · traverse_from · related_to · list_memories · memory_stats · import_memories

Prompts

• explore_memory_city — Guided exploration of districts and memory organization
• synthesize_memories — Create new insights by connecting existing memories

Semantic Search

Uses Okapi BM25 ranking (k1=1.5, b=0.75) — no embeddings or cloud calls required.

Installation

npm

npm install neurodivergent-memory

Docker Hub

docker run --rm -i twgbellok/neurodivergent-memory:latest

GitHub Container Registry

docker pull ghcr.io/jmeyer1980/neurodivergent-memory:0.1.3

For full setup instructions including Claude Desktop configuration, see Getting Started.

Readiness Position

Release 0.1.3 is:

• Ready for research use, controlled pilots, and single-agent memory workflows.
• Not yet ready for production-scale, multi-tenant, or high-criticality deployments.

This is intentional and consistent with semantic versioning expectations for 0.x software.

Author

Jerimiah Meyer (Jerry) — GitHub