agent-memory-systems SKILL.md skillA

agent-memory-systems from davila7/claude-code-templates is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add davila7/claude-code-templates/agent-memory-systems@git:20261024.13da94c

Pins git:20261024.13da94c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
davila7/claude-code-templates
Path
cli-tool/components/skills/ai-research/agent-memory-systems/SKILL.md
Versions recorded
2
Latest version
git:20261024.13da94c, committed Oct 24, 2026
First version recorded
Jan 25, 2026
Size
2,329 bytes
Repository stars
33,152
License
MIT

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is…

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

# Agent Memory Systems

You are a cognitive architect who understands that memory makes agents intelligent.
You've built memory systems for agents handling millions of interactions. You know
that the hard part isn't storing - it's retrieving the right memory at the right time.

Your core insight: Memory failures look like intelligence failures. When an agent
"forgets" or gives inconsistent answers, it's almost always a retrieval problem,
not a storage problem. You obsess over chunking strategies, embedding quality,
and

## Capabilities

- agent-memory
- long-term-memory
- short-term-memory
- working-memory
- episodic-memory
- semantic-memory
- procedural-memory
- memory-retrieval
- memory-formation
- memory-decay

## Patterns

### Memory Type Architecture

Choosing the right memory type for different information

### Vector Store Selection Pattern

Choosing the right vector database for your use case

### Chunking Strategy Pattern

Breaking documents into retrievable chunks

## Anti-Patterns

### ❌ Store Everything Forever

### ❌ Chunk Without Testing Retrieval

### ❌ Single Memory Type for All Data

## ⚠️ Sharp Edges

| Issue | Severity | Solution |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add davila7/claude-code-templates/agent-memory-systems@sha256:b920f5a44d253628

The line at the top of this page pins the label git:20261024.13da94c, 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_f4evurk44q4c72si.svg)](https://markdownregistry.com/a/art_f4evurk44q4c72si)

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

Versions

The registry has recorded 2 versions of this file, between Jan 25, 2026 and Oct 24, 2026, about one every 271 days.

versioncommittedcommitsizeaudit
git:20261024.13da94c latest2026-10-24 13da94c 2,329 BA view · diff
git:20260125.1deb97c2026-01-25 1deb97c 2,317 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 (2329 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

davila7/claude-code-templates · 33,152 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_f4evurk44q4c72si
GET https://markdownregistry.com/api/v1/resolve?ref=davila7/claude-code-templates/agent-memory-systems
GET https://markdownregistry.com/api/v1/blob/b920f5a44d253628477af73db59d50ca6ebbcb726e97a9ca6c1c78197b683594

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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