This orchestration layer sits between Claude and the memory MCP server to handle the messy parts of knowledge graph queries: parsing natural language into entity searches, deduplicating results above 85% similarity, and boosting scores when entities cross-reference each other. It ranks everything by recency times relevance times source authority, then hands back unified results. You'd reach for this when basic memory search isn't cutting it and you need multi-hop graph traversal or entity relationship tracking. The complexity is high and it's not user-invocable, so it's really infrastructure for other skills that need smarter memory retrieval. Think of it as a query optimization layer that prevents you from missing relevant context scattered across your knowledge graph.

skills.sh installs
243
GitHub stars
301
last updated
Aug 21, 2026

Install

$ npx -y skills add yonatangross/orchestkit --skill memory-fabric --agent claude-code

Installs into .claude/skills of the current project.

Files

Memory Fabric - Graph Orchestration

Knowledge graph orchestration via mcp__memory__* for entity extraction, query parsing, deduplication, and cross-reference boosting.

Overview

  • Comprehensive memory retrieval from the knowledge graph
  • Cross-referencing entities within graph storage
  • Ensuring no relevant memories are missed
  • Building unified context from graph queries

Architecture Overview

Sponsors

Details

Repository
github.com/yonatangross/orchestkit
Category
Automation & Workflows
First seen
Jun 3, 2026

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