Agent Memory Systems

dokhacgiakhoa/agent-memory-systems

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 fragm

718 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill agent-memory-systems

What comes with it

964 bytes besides the instruction

sub-skills/chunk-without-testing-retrieval.md

sub-skills/chunking-strategy-pattern.md

sub-skills/memory-type-architecture.md

sub-skills/single-memory-type-for-all-data.md

sub-skills/store-everything-forever.md

sub-skills/vector-store-selection-pattern.md

The instruction itself

10 sections, as written by the author

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

🧠 Knowledge Modules (Fractal Skills)

1. Memory Type Architecture

2. Vector Store Selection Pattern

3. Chunking Strategy Pattern

4. ❌ Store Everything Forever

5. ❌ Chunk Without Testing Retrieval

6. ❌ Single Memory Type for All Data

How to use it

Copy the folder

Take dokhacgiakhoa/agent-memory-systems from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.