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Memory

Checked
johnlindquist·vlatest·writing

This "Memory" skill allows you to store and recall past interactions for contextually richer conversations and improved long-term understanding.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add johnlindquist/claude --skill memory -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

johnlindquist

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned johnlindquist/claude at eb37d88225.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
eb37d88225
Manifest
skills/memory/SKILL.md
Scanned
1 file, 175 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Memory skill enables AI agents to store and retrieve information across multiple sessions, providing a persistent knowledge base. It allows for writing notes with titles, content in markdown format, tags, folders, and project associations. You can then search these notes using semantic search, filter by title, date or permalink, and build context around specific topics or URLs. This facilitates richer conversations and improved long-term understanding by leveraging past interactions.

When to use it

  • Saving learning resources: Capture useful information discovered while researching a topic (e.g., TypeScript utility types).
  • Documenting architectural decisions: Record important choices made during development, including rationale and alternatives considered.
  • Organizing meeting notes: Store and easily find notes related to specific meetings or projects.
  • Retrieving previous work: Quickly access context from past conversations or tasks using the "continue-conversation" feature.
  • Building a personal knowledge base: Create a searchable repository of notes, tagged for easy organization and retrieval.

Key capabilities

  • Note Creation: Write notes with titles, markdown content, tags, folder assignments, and project associations.
  • Semantic Search: Search notes using natural language queries.
  • Filtering & Sorting: Filter search results by title, date (within a timeframe), or permalink.
  • Context Building: Generate related notes based on a URL or topic.
  • Recent Activity Tracking: View recent note creation and modification activity.
  • Conversation Continuation: Retrieve prompts to continue previous work based on context.

Example prompts

  • "Write a note titled 'React Hooks' with the content '# React Hooks\n\n- useState, useEffect, useMemo'"
  • "Search for notes related to 'authentication' within the 'myproject' project."
  • "Build context around memory://topic/api"

Tips & gotchas

  • Prerequisites: The basic-memory package must be installed via pip: pip install basic-memory.
  • Note Format: Notes are stored in markdown format with YAML frontmatter for metadata (title, tags, created date).
  • Project Association: Notes can be associated with specific projects to keep related information organized.