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Agent Memory Systems

Checked
sickn33·vlatest·agents·MIT

Stores, retrieves, and organizes complex information across extended conversations for improved context and recall.

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 sickn33/agentic-awesome-skills --skill agent-memory-systems -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

sickn33

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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/agent-memory-systems/SKILL.md
Scanned
1 file, 55 lines
Copies in repo
3 — all of them scanned
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 agent-memory-systems skill enables AI agents to retain and recall information across interactions, improving context awareness and continuity. It supports both short-term and long-term memory mechanisms, allowing agents to reference past conversations or data when needed.

When to use it

  • When building an AI assistant that needs to remember user preferences over multiple sessions.
  • During complex problem-solving tasks where historical context is essential for accurate responses.
  • In multi-turn dialogues where maintaining conversation state improves the user experience.
  • For applications requiring personalized interactions based on prior user behavior or input.

Key capabilities

  • Short-term memory for tracking recent interactions
  • Long-term memory for storing persistent data
  • Context-aware recall during conversations
  • Integration with external storage systems for scalability

Example prompts

  • "Remember that the user prefers dark mode."
  • "What was the last topic we discussed?"
  • "Retrieve my previous request from the conversation history."

Tips & gotchas

  • Ensure memory persistence is configured correctly if using long-term storage.
  • Be mindful of privacy and data security when storing sensitive user information in memory systems.