memory-architecture SKILL.md skillA
memory-architecture from d-padmanabhan/agent-engineering-handbook is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add d-padmanabhan/agent-engineering-handbook/memory-architecture@git:20260806.9734465Pins git:20260806.9734465 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- d-padmanabhan/agent-engineering-handbook
- Path
skills/memory-architecture/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260806.9734465, committed Aug 6, 2026
- Size
- 9,071 bytes
- Repository stars
- 20
- License
- MIT
Design and review persistent memory and knowledge systems for AI agents, including durable project knowledge, team knowledge bases, retrieval, provenance, conflict handling, retention, and tenant isolation. Use when architecting agent memory across sessions, deciding where knowledge should persist, or reviewing memory quality and security. Do not use for ordinary note-taking or short-lived task context.
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 Architecture Design persistent memory as a governed knowledge system, not as a larger prompt. Separate evidence from claims, choose storage from durability and trust requirements, filter before retrieval, cite what is used, and measure whether memory improves outcomes. ## When to Use Use this skill for: - Agent or assistant memory that persists across sessions - Durable project or team knowledge bases - Retrieval pipelines that assemble context automatically - Note deduplication, contradiction handling, supersession, or retention - Security and privacy reviews of persistent AI memory Do not use it for: - One-off questions or ordinary documentation - Current-task handoff files such as `tmp/active-context.md` - Web research refreshes whose storage architecture is already defined - Model-provider API syntax without a memory-system design decision For temporary coding-agent context, use [agent workflow context management](../agent-workflow/references/context-management.md). For bounded web refreshes, use [web-research-kb-refresh](../web-research-kb-refresh/). For trust-boundary reviews, compose with [zero-trust](../zero-trust/). ## Non-Negotiables …
Read the whole file at its exact version.
How to install
mdr add d-padmanabhan/agent-engineering-handbook/memory-architecture@sha256:8bfd7f1e8ebccca4The line at the top of this page pins the label git:20260806.9734465, 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.
[](https://markdownregistry.com/a/art_r3ebz2f2fmy3b774)
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Versions
The registry has recorded 1 version of this file, committed on Aug 6, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
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- 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
d-padmanabhan/agent-engineering-handbook · 20 stars · license MIT · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_r3ebz2f2fmy3b774 GET https://markdownregistry.com/api/v1/resolve?ref=d-padmanabhan/agent-engineering-handbook/memory-architecture GET https://markdownregistry.com/api/v1/blob/8bfd7f1e8ebccca420e06504a4c6a2d8a6f55482677b73a000af018b6bcb666b
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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