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 allRemember
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 notesForget
mem - <id> # delete one memory
mem - id1 id2 id3 # delete multiplePiping
mem "old" --json | jq -r '.[].id' | xargs -I{} mem - {}
echo "long content" | mem + --tag notesBest Practices
- Tag consistently — Use lowercase, descriptive tags like
prefs,api,deploy,db - Search before asking — Check if you've stored relevant information before asking the user
- Store decisions — When making architectural or design decisions, store the reasoning
- 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
More from runablehq
Use this skill in a project
Open any RiverX project, search the Skills panel for runablehq/memory/mem, and install it in one click.
