folded-memory-implementation SKILL.md skillA

folded-memory-implementation from simbajigege/book2skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add simbajigege/book2skills/folded-memory-implementation@git:20260630.da82579

Pins git:20260630.da82579 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
simbajigege/book2skills
Path
skills/folded-memory-implementation/SKILL.md
Versions recorded
2
Latest version
git:20260630.da82579, committed Jun 30, 2026
First version recorded
Jun 30, 2026
Size
13,793 bytes
Repository stars
202
License
MIT

Developer implementation guide for building hierarchical (folded) memory into an Agent. Three-layer architecture where recent turns stay detailed, older content compresses into episodes, and the oldest distills into durable semantic facts. Use when compact-memory-implementation is not retaining enough, or when agents need to recall decisions from many sessions ago.

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

# folded-memory-implementation

A developer guide for hierarchical memory: instead of replacing history with a single flat summary, maintain three memory layers at different levels of detail. Old content is compressed more aggressively — not discarded. Each layer is independently stored and selectively recalled.

**Prerequisite**: read `compact-memory-implementation` first. Folded memory builds on the same fork-agent and trigger concepts.

---

## The core idea

```
L1 Working memory    [ turn 38..50 ] — raw turns, full detail, short window
L2 Episodic memory   [ turn 10..37 ] — compressed episodes, medium detail
L3 Semantic memory   [ turn 1..9  ] — abstract facts and decisions, sparse
```

When L1 fills up → fork an episode compactor → move oldest L1 turns into L2.
When L2 fills up → fork a semantic extractor → distill L2 into L3.

At each agent turn, inject the right combination of layers into the system prompt.

---

## Step 1 — Understand the setup

Same questions as `compact-memory-implementation`, plus:

- **How long do sessions run?** If sessions are short (<50 turns), flat compact is enough.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add simbajigege/book2skills/folded-memory-implementation@sha256:34fb42bb65737570

The line at the top of this page pins the label git:20260630.da82579, 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_kdibzwnqggcnq2zq.svg)](https://markdownregistry.com/a/art_kdibzwnqggcnq2zq)

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

Versions

The registry has recorded 2 versions of this file, all committed on Jun 30, 2026.

versioncommittedcommitsizeaudit
git:20260630.da82579 latest2026-06-30 da82579 13,793 BA view · diff
git:20260630.76c29e92026-06-30 76c29e9 14,098 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 (13793 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

simbajigege/book2skills · 202 stars · license MIT · pushed 2026-08-26 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kdibzwnqggcnq2zq
GET https://markdownregistry.com/api/v1/resolve?ref=simbajigege/book2skills/folded-memory-implementation
GET https://markdownregistry.com/api/v1/blob/34fb42bb657375703771aefb6fdb8f87a7f6f8029704f4b4201696f92acd5403

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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