memory-fabric SKILL.md skillA

memory-fabric from yonatangross/orchestkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yonatangross/orchestkit/memory-fabric@v2.1.0

Pins v2.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yonatangross/orchestkit
Path
src/skills/memory-fabric/SKILL.md
Versions recorded
11
Latest version
v2.1.0, committed Oct 7, 2026
First version recorded
Jul 10, 2026
Size
8,268 bytes
Repository stars
299
License
MIT

Memory retrieval internals: knowledge graph orchestration with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting over unified recency, relevance, and authority ranking. Use when designing or debugging how memory search itself works. Everyday lookups belong to memory; entry storage to remember; consolidation to dream.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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

```
Memory Fabric Layer
┌─────────────┐ ┌──────────────┐
│Query Parser │ │Query Executor│
└──────┬──────┘ └──────┬───────┘
       └───────┬───────┘
┌──────────────┴─────────────┐
│Graph Query Dispatch        │
└──────────────┬─────────────┘
┌──────────────┴─────────────┐
│mcp__memory__*              │
│(Knowledge Graph)           │
└──────────────┬─────────────┘
┌──────────────┴─────────────┐
│Result Normalizer           │
└──────────────┬─────────────┘
┌──────────────┴─────────────┐
│Deduplication Engine        │
│(>85% sim)                  │
└──────────────┬─────────────┘
┌──────────────┴─────────────┐
│Cross-Reference Booster     │
└──────────────┬─────────────┘
┌──────────────┴─────────────┐
│Final Ranking: recency ×    │
│relevance × source_authority│
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yonatangross/orchestkit/memory-fabric@sha256:0031f3f2b890e4a6

The line at the top of this page pins the label v2.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_n7q3bxlhzlx5ahpo.svg)](https://markdownregistry.com/a/art_n7q3bxlhzlx5ahpo)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 11 versions of this file, between Jul 10, 2026 and Oct 7, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
v2.1.0 latest2026-10-07 480e358 8,268 BA view · diff
v2.1.02026-09-29 105a980 8,282 BA view · diff
v2.1.02026-09-28 220adb4 8,284 BA view · diff
v2.1.02026-09-25 01fd47b 8,301 BA view · diff
v2.1.02026-09-20 02cb935 8,242 BA view · diff
v2.1.02026-09-12 2774aad 8,242 BA view · diff
v2.1.02026-09-06 fc0b166 10,841 BA view · diff
v2.1.02026-08-29 2aed0b0 10,884 BA view · diff
v2.1.02026-08-05 1f4cf61 10,884 BA view · diff
v2.1.02026-07-25 47b78fb 10,861 BA view · diff
v2.1.02026-07-10 10a2d30 10,861 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8268 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yonatangross/orchestkit · 299 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_n7q3bxlhzlx5ahpo
GET https://markdownregistry.com/api/v1/resolve?ref=yonatangross/orchestkit/memory-fabric
GET https://markdownregistry.com/api/v1/blob/0031f3f2b890e4a68964f8335635a4b4096c19044d5be75cf13fa9b5294b3dfe

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in yonatangross/orchestkit

Other files named memory-fabric

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