Microsoft Skill Creator
MicrosoftDocs/mcp
Create agent skills for Microsoft technologies using official documentation.
A-MEM-inspired agentic memory workflow for structured knowledge capture.
Install Memex Agentic Memory
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iamtouchskyer/memex memex-agentic-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memex-agentic-memory .claude/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.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/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .claude/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iamtouchskyer/memex memex-agentic-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memex-agentic-memory .agents/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .agents/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iamtouchskyer/memex memex-agentic-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memex-agentic-memory .cursor/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .cursor/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/iamtouchskyer/memex.git --path skills/memex-agentic-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iamtouchskyer/memex memex-agentic-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memex-agentic-memory .gemini/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .gemini/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install iamtouchskyer/memex memex-agentic-memoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memex-agentic-memory .github/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .github/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iamtouchskyer/memex memex-agentic-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iamtouchskyer/memex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memex-agentic-memory .opencode/skills/memex-agentic-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memex-agentic-memory" agent skill from https://github.com/iamtouchskyer/memex/tree/main/skills/memex-agentic-memory into .opencode/skills/memex-agentic-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memex-agentic-memory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memex-agentic-memory- GitHub stars
- 142
- Token cost
- ~1.7k tokens
- SKILL.md length
- 674 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
A-MEM-inspired agentic memory workflow for structured knowledge capture.
- Works in 8 steps: Input Triage → Draft Atomic Card → Metadata Draft → …
- Agent Workflows work in your project
- SKILL.md covers Prerequisite: Feature Flag Guard, Tools Available, Workflow and Rules
- Calls node
What it does
Memex Agentic Memory is an agent skill from iamtouchskyer/memex. A-MEM-inspired agentic memory workflow for structured knowledge capture.
Its SKILL.md is about 1.7k 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. It works with Visual Studio Code. The repository describes itself as: Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git… The licence is MIT.
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “/memex-agentic-memory”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 453c0e3. 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
Shell commands in SKILL.md call:
node
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
Memex Agentic Memory loads about 1.7k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 674 words of instructions outside code blocks.
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 iamtouchskyer/memex at commit 453c0e3, republished under its MIT licence (© iamtouchskyer). 674 words, ~1,698 tokens.
Download SKILL.mdSave it as
.claude/skills/memex-agentic-memory/SKILL.md (or your agent's skills folder).- name
- memex-agentic-memory
- description
- A-MEM-inspired agentic memory workflow for structured knowledge capture.
- whenToUse
- When experimental.agenticMemory is enabled in .memexrc AND the agent has completed meaningful work that produced reusable insights. This skill provides a…
Agentic Memory Skill (Experimental)
An A-MEM-inspired workflow that uses existing memex primitives to produce higher-quality memory cards through structured observation, enrichment, retrieval, and deliberate linking.
This skill is experimental and requires opt-in.
Prerequisite: Feature Flag Guard
Before proceeding, locate .memexrc using the same precedence as core memex:
$MEMEX_HOME/.memexrc(ifMEMEX_HOMEenv var is set)- Walk up from the current directory looking for
.memexrc ~/.memex/.memexrc(fallback)
Check that experimental.agenticMemory is exactly true.
If the flag is missing, false, or not exactly true, STOP. Use the standard
memex-retro skill instead. Do not proceed with the agentic workflow.
Tools Available
Three equivalent interfaces — use whichever your environment supports:
| CLI (memex in PATH) | Plugin CLI fallback (Claude Code) | MCP tool (VSCode / Cursor) |
|---|---|---|
memex search <q> | node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js search <q> | memex_search with query arg |
memex read <slug> | node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js read <slug> | memex_read with slug arg |
memex write <slug> | node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js write <slug> | memex_write with slug arg and body |
Resolution order: Try memex in PATH first. If not found, use the plugin
fallback or MCP tools.
Workflow
Step 1: Input Triage
Identify whether there is a memory-worthy insight from the completed work.
Skip if the content is:
- Temporary or session-specific (current task state, in-progress work)
- Obvious or well-known (standard library usage, common patterns)
- Not reusable across future sessions
If nothing is worth remembering, stop here.
Step 2: Draft Atomic Card
For each insight, draft one card:
- Title: Short, descriptive
- Slug: English kebab-case (e.g.,
yaml-array-roundtrip-bug) - Body: One atomic insight in your own words. Distill, don't copy.
- Context: Add explicit project/domain context when the insight would be ambiguous without it
Step 3: Metadata Draft
Generate candidate metadata as simple string fields:
---
title: <title>
created: <YYYY-MM-DD>
source: <client>
category: <optional>
context: <one sentence explaining domain and purpose>
keywords: <3-8 salient terms, comma-separated>
tags: <broad categories, comma-separated>
---Important: Store context, keywords, and tags as comma-separated
strings, not YAML arrays. This avoids frontmatter serialization issues with
the current stringifyFrontmatter implementation.
Step 4: Candidate Retrieval
Before writing, search for related existing cards.
Try semantic search first:
memex search "<topic query>" --semantic --compact --limit 8If semantic search fails or is unavailable, fall back to keyword search:
memex search "<topic query>" --compact --limit 8Read the top candidates that look relevant:
memex read <slug>Limits to avoid runaway retrieval:
- Max candidate searches: 3
- Max cards read: 10
- Max link hops: 2
Step 5: Decision
Choose exactly one primary action per insight:
| Action | When |
|---|---|
| create | No existing card covers the insight. Embed [[wikilinks]] in the new card pointing to related candidates when meaningfully related. |
| update | Existing card covers the same insight but lacks new detail |
| skip | Insight is duplicate, too obvious, or not durable |
Rules:
- Merge/archive is out of scope for this version unless the user explicitly asks.
- Links must be chosen by the agent after reading candidate cards. Embedding similarity or keyword match is only a candidate signal, not an automatic link decision.
- Updating existing cards is allowed only after preview (Step 6).
Show full SKILL.md (223 more words)Show less
Step 6: Preview
Before writing, produce a preview of planned changes:
Planned memory changes:
- create: <slug> (<title>)
- update: <slug> because <reason why update is better than new card>
- links: [[a]], [[b]] because <relationship explanation>
- metadata: context/keywords/tags draftFor updates to existing cards, the agent MUST explain why updating is preferable to creating a new card.
Step 7: Write
Use existing memex write paths:
memex write <slug> << 'EOF'
---
title: <title>
created: <YYYY-MM-DD>
source: <client>
category: <optional>
context: <one sentence>
keywords: <comma-separated terms>
tags: <comma-separated categories>
---
<One atomic insight in your own words.>
This relates to [[existing-card]] because <explicit relationship explanation>.
EOFOn update, copy ALL existing frontmatter fields from the current card (title, created, source, category, context, keywords, tags, and any custom fields). Only modify the specific fields previewed in Step 6. Append new information to the body.
Step 8: Verify
After writing:
memex read <slug>Confirm:
- Required frontmatter exists (title, created, source)
- Wikilinks are syntactically valid (
[[slug]]format) - Body contains the intended insight
Rules
- Atomic: One insight per card. Multiple insights = multiple cards.
- Own words: Distill and rephrase. Don't copy-paste.
- Links in context:
[[links]]must appear in sentences explaining the relationship.- Good: "This contradicts the approach in [[jwt-migration]] — stateless tokens can't be revoked."
- Bad: "Related: [[jwt-migration]]"
- No auto-linking: Never add links based solely on keyword overlap or embedding score.
- No silent mutation: Never update an existing card without the preview step.
- Preserve frontmatter: When updating, copy all existing frontmatter fields. Only change fields explicitly previewed.
- Metadata as strings: Use comma-separated strings for keywords/tags, not arrays.
- No raw secrets: Never search for or write actual secrets, credentials, tokens, or exact secret file contents. Use redacted examples and abstract descriptions instead.
- Fallback: If the feature flag is disabled, use
memex-retroinstead.
© iamtouchskyer, 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/memex-agentic-memory of iamtouchskyer/memex.
Open the folder on GitHubat commit 453c0e3
Compare with similar skills
Memex Agentic Memory 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memex Agentic Memory this skilliamtouchskyer/memex | 142 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Microsoft Skill CreatorMicrosoftDocs/mcp | 1.9k | 3 repos | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Cao MCP Appsawslabs/cli-agent-orchestrator | 1.4k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| CC Workflow Studio AI Editorbreaking-brake/cc-wf-studio | 5.4k | — | ~561 | Automated safety check: Pass | Custom licence | |
| Squad Commands Menumicrosoft/waza | 1.4k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Agnixagent-sh/agnix | 445 | — | ~874 | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Memex Agentic Memory
What does Memex Agentic Memory do?
A-MEM-inspired agentic memory workflow for structured knowledge capture. Memex Agentic Memory is an agent skill from iamtouchskyer/memex. A-MEM-inspired agentic memory workflow for structured knowledge capture.
When should I use Memex Agentic Memory?
Memex Agentic Memory fits situations like: agent Workflows work in your project.
How do I install Memex Agentic Memory in Claude Code?
Run `npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a claude-code`. Or copy the skill folder (skills/memex-agentic-memory in iamtouchskyer/memex) into .claude/skills/memex-agentic-memory in your project. Claude Code loads it when a task matches its description.
How do I install Memex Agentic Memory in Codex?
Run `npx skills add iamtouchskyer/memex --skill memex-agentic-memory -a codex`. Or copy the skill folder (skills/memex-agentic-memory in iamtouchskyer/memex) into .agents/skills/memex-agentic-memory in your project. Codex loads it when a task matches its description.
Can I use Memex Agentic Memory 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 iamtouchskyer/memex --skill memex-agentic-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memex-agentic-memory, .gemini/skills/memex-agentic-memory, .github/skills/memex-agentic-memory and .opencode/skills/memex-agentic-memory in your project.
What does Memex Agentic Memory need to run?
Going by SKILL.md and its folder, Memex Agentic Memory needs the command-line tools its instructions call (node).
Does Memex Agentic Memory 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 Memex Agentic Memory 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 Memex Agentic Memory use?
Memex Agentic Memory 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 Memex Agentic Memory use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Memex Agentic Memory?
Skills that share tags, products or a category with Memex Agentic Memory: Microsoft Skill Creator (MicrosoftDocs/mcp, 1.9k stars), Cao MCP Apps (awslabs/cli-agent-orchestrator, 1.4k stars), CC Workflow Studio AI Editor (breaking-brake/cc-wf-studio, 5.4k stars) and Squad Commands Menu (microsoft/waza, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memex Agentic Memory?
iamtouchskyer (a GitHub user) maintains it in iamtouchskyer/memex, which has 142 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 8, 2026.
Source: iamtouchskyer/memex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.