maenifold

Name: maenifold
Availability: InStock
Author: msbrettorg

Connect Claude Code to Maenifold's knowledge graph and reasoning engine.

12|2|Updated Oct 27, 2025

Search Tags:#mcp #claude-code #context-engineering #knowledge-graph #wiki-links #memory-graph #maenifold

Ready to run

npx skills add https://github.com/msbrettorg/maenifold --skill maenifold

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: maenifold
Source: https://github.com/msbrettorg/maenifold/tree/main/integrations/claude-code/plugin-maenifold/skills/maenifold
Command: npx skills add https://github.com/msbrettorg/maenifold --skill maenifold

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Maenifold provides a persistent knowledge graph and reasoning infrastructure that Claude Code can leverage to retain context across sessions, ground AI outputs in structured memory and relationships, and orchestrate complex workflows without re-deriving insights.

Core Features & Use Cases

Memory tools: write, read, search, edit and delete memories, with WikiLinks integration and memory:// graph updates
Graph & Reasoning: buildcontext, findsimilarconcepts, visualize, and sync for dynamic knowledge graphs; workflow orchestration and multi-session thinking
Multi-session continuity: sequential thinking across sessions with stored context and cross-session handoffs

Quick Start

Install the Maenifold MCP server, load the maenifold skill in Claude Code, and start writing memories to seed your knowledge graph.

Frequently Asked Questions about maenifold

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enable persistent memory in Claude Code across multiple sessions?▼

You enable persistent memory in Claude Code by connecting it to a knowledge graph via an MCP server, allowing the AI to retain context and structured relationships across sessions without re-deriving insights.

What is a memory graph and how does it ground AI outputs?▼

A memory graph is a persistent knowledge structure that stores memories and their relationships. It grounds AI outputs by providing graph-based context, enabling sequential thinking and cross-session workflow orchestration.

How do I build context for Claude Code using a knowledge graph?▼

You build context for Claude Code by writing memories to a knowledge graph using memory tools, applying WikiLinks to connect concepts, and using graph tools to dynamically assemble context for AI reasoning.

Does Claude Code work with MCP servers for context engineering?▼

Yes, Claude Code works with MCP servers for context engineering by connecting to external reasoning engines and memory graphs, enabling features like finding similar concepts, graph visualization, and multi-session continuity.

Do I need to install any specific server to use memory graph features with Claude Code?▼

Yes, you need to install and run the Maenifold MCP server to use its memory graph features, which provides the tools for writing, reading, searching, and editing memories within Claude Code.

What safeguards exist when updating a knowledge graph to prevent duplicate memories?▼

The memory graph system includes built-in safeguards to avoid duplicates and ensure graph integrity when writing memories or updating relationships, preventing redundant data and maintaining structured context accuracy.