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Nemp Memory

Checked
SukinShetty·v1.0.0·agents·MIT

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure — works offline.

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install nemp-memory

What we know about this skill

Publisher

SukinShetty

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

Install target

Pinned to 5f3e48af

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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 sukinshetty/nemp-memory at 7f3d7e713e.

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

Scanned
1 file, 42 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

Nemp Memory provides a simple, local memory solution for AI agents like Claude Code and OpenClaw. It eliminates the need for complex setups or cloud dependencies by storing agent knowledge in plain JSON files. Nemp automatically detects your tech stack and proactively suggests relevant information to improve agent performance.

When to use it

  • Consistent Context: Avoid repeatedly explaining project details (tech stack, architecture) to your AI agent across sessions.
  • Simplified Setup: Quickly deploy memory capabilities without managing databases or cloud accounts.
  • Privacy-Focused Workflows: Keep sensitive code context entirely local and avoid sending data to external servers.
  • Multi-Agent Memory: Utilize a single memory store for multiple agents running on different platforms.

Key capabilities

  • Zero dependencies - no additional software required.
  • Local storage – all data remains on your machine.
  • No API keys needed.
  • Automatic tech stack detection.
  • Proactive suggestions to the agent.
  • Two-way synchronization with CLAUDE.md.

Example prompts

  • /plugin install nemp
  • /plugin marketplace add https://github.com/SukinShetty/Nemp-memory
  • "What did I work on yesterday?" (Agent will retrieve relevant information from its memory)

Tips & gotchas

  • Requires an AgentSkills-compatible platform like Claude Code or OpenClaw.
  • The simplicity of JSON storage means you'll need to understand the format for advanced data manipulation, although basic usage is straightforward.

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