Saves insights, decisions, or code facts to long-term storage with searchable concept tags so you can retrieve them later with `recall`. The workflow is straightforward: pull the key insight from what the user said, tag it with 2-5 specific concept phrases like "jwt-refresh-rotation" instead of vague ones like "auth", attach any referenced file paths, and confirm the save. The emphasis on concrete, specific tags is smart because generic concepts make retrieval useless. Think of it as a persistent notes system that lives outside the chat window. Works well when you're building context over multiple sessions or want to preserve architectural decisions without digging through old transcripts.

skills.sh installs
14.6K
GitHub stars
30.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add rohitg00/agentmemory --skill remember --agent claude-code

Installs into .claude/skills of the current project.

Files

The user wants to save this to long-term memory: $ARGUMENTS

Quick start

memory_save {
  "content": "We rotate JWT refresh tokens on every use; the old token is revoked server-side in auth/refresh.ts.",
  "concepts": "jwt-refresh-rotation, token-revocation, auth-flow",
  "files": "src/auth/refresh.ts"
}

Expected output:

Saved memory abc12345 with 3 concepts: jwt-refresh-rotation, token-revocation, auth-flow.

Why

A memory is only as useful as the terms that retrieve it. Tag with specific concepts so a future recall finds it, and preserve the user's own phrasing.

Workflow

Sponsors

Details

Repository
github.com/rohitg00/agentmemory
Category
Productivity & Planning
First seen
Jul 14, 2026

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