mem▌
runablehq/memory · updated Apr 8, 2026
A CLI tool for storing and retrieving memories with full-text search. Data is stored locally in ~/.mem/mem.db.
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
- 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★37 reviews- ★★★★★Charlotte Taylor· Dec 24, 2024
Solid pick for teams standardizing on skills: mem is focused, and the summary matches what you get after install.
- ★★★★★Shikha Mishra· Dec 20, 2024
Keeps context tight: mem is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Anaya Iyer· Dec 16, 2024
mem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Rahman· Dec 8, 2024
Registry listing for mem matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★James Kapoor· Nov 27, 2024
Useful defaults in mem — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hiroshi Rao· Nov 15, 2024
We added mem from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Jin Zhang· Oct 18, 2024
I recommend mem for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya Abebe· Oct 6, 2024
mem fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Sep 25, 2024
Registry listing for mem matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Min Abbas· Sep 17, 2024
mem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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