Agent skill

Memx

by NeoLi00 in NeoLi00/memX

A skill your agent uses when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

MITAuto-check passedAgent Workflows

Install Memx

skills CLI
$ npx skills add NeoLi00/memX --skill memx -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NeoLi00/memX memx --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NeoLi00/memX.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memx .claude/skills/memx && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memx
GitHub stars
406
Token cost
~136 tokens
SKILL.md length
56 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

  • An agent needs to recall
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Audit memX memories through the bundled MCP tools

What it does

Memx is an agent skill from NeoLi00/memX. Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

Its SKILL.md is about 140 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent memory. The repository describes itself as: memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw. The licence is MIT.

When your agent uses it

  • An agent needs to recall
  • Audit memX memories through the bundled MCP tools

Example prompts

  • “/memx”

What it can do on your machine

Read from SKILL.md and the folder at commit 159b9da. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memx loads about 136 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 56 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~136

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NeoLi00/memX at commit 159b9da, republished under its MIT licence (© NeoLi00). 56 words, ~136 tokens.

Download SKILL.mdSave it as .claude/skills/memx/SKILL.md (or your agent's skills folder).
name
memx
description
Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

memX Memory

Use memx_recall for focused memory lookup before relying on past project details. Use memx_remember only for durable, reusable facts, preferences, decisions, resources, and task state. Use memx_audit or memx_stats when debugging whether the memory pipeline is working.

Do not write raw conversation echoes as memory. Prefer concise semantic statements that will help future turns.

© NeoLi00, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/memx of NeoLi00/memX.

Open the folder on GitHubat commit 159b9da

Compare with similar skills

Memx next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memx compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memx this skillNeoLi00/memX406—~136Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins10k5 repos~1.2kAutomated safety check: PassNone
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Compound Learning WriterEveryInc/compound-engineering-plugin25k—~2kAutomated safety check: PassMIT

Similar skills

  • Neat-Freak Knowledge Closeout

    KKKKhazix/khazix-skills

    Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.

    21k GitHub stars~1.9k tokensUpdated 7 days ago
    Agent WorkflowsAuto-check passed
  • Beads Task Memory

    gastownhall/beads

    Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.

    28k GitHub stars~1.2k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Official

    Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.

    10k GitHub starsUsed in 5 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • MemPalace Memory Search

    MemPalace/mempalace

    Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.

    59k GitHub stars~1.4k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Compound Learning Writer

    EveryInc/compound-engineering-plugin

    Records one solved and verified problem as a durable learning in the repository, but only when the reasoning is not already clear from the final code, tests or docs.

    25k GitHub stars~2k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.

    24k GitHub stars~3.1k tokensUpdated today
    Agent WorkflowsAuto-check passed

Categories

Questions about Memx

What does Memx do?

A skill your agent uses when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools. Memx is an agent skill from NeoLi00/memX. Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

When should I use Memx?

Memx fits situations like: an agent needs to recall; audit memX memories through the bundled MCP tools.

How do I install Memx in Claude Code?

Run `npx skills add NeoLi00/memX --skill memx -a claude-code`. Or copy the skill folder (skills/memx in NeoLi00/memX) into .claude/skills/memx in your project. Claude Code loads it when a task matches its description.

How do I install Memx in Codex?

Run `npx skills add NeoLi00/memX --skill memx -a codex`. Or copy the skill folder (skills/memx in NeoLi00/memX) into .agents/skills/memx in your project. Codex loads it when a task matches its description.

Can I use Memx in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NeoLi00/memX --skill memx -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memx, .gemini/skills/memx, .github/skills/memx and .opencode/skills/memx in your project.

What does Memx need to run?

SKILL.md names no scripts, command-line tools or credentials: Memx is instructions for the agent only.

Does Memx access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memx safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memx use?

Memx is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memx use?

About 136 tokens (SKILL.md is roughly 544 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memx?

Skills that share tags, products or a category with Memx: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars), Reflect on Session Learnings (cursor/plugins, 10k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memx?

NeoLi00 (a GitHub user) maintains it in NeoLi00/memX, which has 406 GitHub stars. The repository was last updated on May 26, 2026.

Source: NeoLi00/memX on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.