Skip to content
TrustedSkillsbeta
Back to all skills

Agent Memory

Checked
molty-assistant·vlatest·agents

Molty-Assistant's memory agent stores, retrieves, and summarizes past conversations for context and improved future interactions.

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 molty-assistant/agent-memory-skill --skill agent-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

molty-assistant

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 molty-assistant/agent-memory-skill at 6698ea397a.

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

Commit
6698ea397a
Manifest
SKILL.md
Scanned
2 files, 86 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 Molty Assistant Agent Memory skill provides agents with the ability to retain and recall information across multiple interactions. It allows agents to remember previous conversations, user preferences, and task details, leading to more personalized and context-aware responses. This memory capability significantly improves agent performance in complex or ongoing tasks.

When to use it

  • Long-running projects: When an agent needs to track progress and maintain context over extended periods (e.g., a writing assistant helping draft a novel).
  • Personalized experiences: To enable agents to remember user preferences and tailor responses accordingly (e.g., a shopping assistant remembering past purchases).
  • Complex workflows: When an agent needs to manage multiple steps or dependencies in a task, ensuring nothing is forgotten (e.g., booking travel arrangements with specific requirements).
  • Follow-up conversations: To allow for natural and informed continuation of previous discussions without needing to re-explain context.

Key capabilities

  • Persistent memory storage
  • Contextual recall across interactions
  • User preference retention
  • Task detail tracking

Example prompts

  • "Remember that I prefer my coffee with oat milk."
  • "What was the last thing we discussed about the marketing campaign?"
  • "Add 'schedule dentist appointment' to my task list, and remember it’s for next Tuesday at 2pm."

Tips & gotchas

The agent memory skill requires careful prompt engineering to ensure information is stored and retrieved correctly. Be explicit in your instructions when adding or referencing items within the agent's memory.