runablehq/memory1 file

Mem

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.

Specification
Skill ID
runablehq/memory/mem
Publisher
runablehq
Repository
memory
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

runablehq/memory/memInstalls these files
  • SKILL.md

What this skill tells the agent

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

Use this skill in a project

Open any RiverX project, search the Skills panel for runablehq/memory/mem, and install it in one click.

Use this skill