mem

v2026.09.24

Store and retrieve memories (notes, facts, decisions, snippets, images) using a local SQLite database with full-text search. Use when you need to remember information across sessions, recall previous decisions, store code snippets, or search your knowledge base.

GitHub
Install command
npx skhub add runablehq/mem
Markdown
SKILL.md

mem — Agent Memory Store

A CLI tool for storing and retrieving memories with full-text search. Data is stored locally in ~/.mem/mem.db.

When to Use

  • Remember user preferences, project decisions, important facts
  • Store code snippets, commands, configurations for later recall
  • Search your knowledge base before asking the user for information you may have stored
  • Attach images (screenshots, diagrams) to memories

Commands

Three operators: (none) = recall, + = remember, - = forget.

Recall (search, list, get)

mem                             # list recent memories
mem "deploy"                    # full-text search
mem "database" --tag db         # search filtered by tag
mem 7sjtNVyZrNIa                # get full content by ID
mem --tag prefs                 # list filtered by tag
mem "api" --limit 5 --json     # limit results, JSON output
mem --full                      # show full content for all

Remember

mem + "user prefers dark mode" --tag prefs
mem + "deploy: bun build --compile" --tag deploy
mem + "chose SQLite for simplicity" --tag architecture
mem + --image ./screenshot.png --title "Current UI" --tag ui
echo "long content" | mem + --tag notes

Forget

mem - <id>                      # delete one memory
mem - id1 id2 id3               # delete multiple

Piping

mem "old" --json | jq -r '.[].id' | xargs -I{} mem - {}
echo "long content" | mem + --tag notes

Best Practices

  1. Tag consistently — Use lowercase, descriptive tags like prefs, api, deploy, db
  2. Search before asking — Check if you've stored relevant information before asking the user
  3. Store decisions — When making architectural or design decisions, store the reasoning
  4. Keep memories atomic — One concept per memory for better searchability

Output Formats

  • Default: One-line summary per result
  • --full: Complete content inline
  • --json: Structured JSON for parsing
Discovery
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Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

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Default branch

main

Latest commit

e207d36

Tree SHA

7761dfa