Mem Search

CommunityPopular

thedotmack

mem-search

This skill should be used when the user asks to "search memory", "what do you remember about X", "check claude-mem", "mem search", "find past observations", "what did we do last session", or wants prior-session context about a project, decision, file, or task. Searches the user's Claude-Mem (cmem.ai) memory.

Overview

Publisher	thedotmack
Repository	`claude-mem`
Skill name	`mem-search`
Stars	94.1K
Forks	8.3K
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by thedotmack on GitHub. Read the source before you install it.

Installation

Install the Mem Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/thedotmack/claude-mem.git /tmp/claude-mem
mkdir -p .claude/skills
cp -r /tmp/claude-mem/cowork/skills/mem-search .claude/skills/mem-search

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mem Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mem Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mem Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Claude-Mem Search (Cowork)

Search the user's persistent Claude-Mem memory on cmem.ai. Memory contains timestamped observations synthesized from past sessions across all their agents (Claude Code, Cowork, Codex, and others).

How to search

Run the bundled CLI (no dependencies, uses the plugin's configured API key):

bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" search "your query" --limit 20

Progressive search method

Follow claude-mem's Index → Timeline → Transcript discipline — cheap passes first, expensive detail only for confirmed hits:

Index pass — run 1–3 broad keyword searches (project names, file names, error strings, feature names). Skim titles/summaries only.
Narrow pass — re-search with the most specific terms found in step 1 (IDs, exact phrases) and a smaller --limit.
Answer — synthesize from the observations returned. Quote timestamps when the user asks "when".

Do not dump raw search output at the user; extract the relevant observations and answer in plain language.

Diagnostics

If searches return nothing or error:

bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status

Report the status output plainly: a MISSING api key means the plugin needs the user's cmem.ai key added to its configuration; a 404 on /api/hooks/context just means the newer Pro endpoint isn't deployed — search still works via /api/mcp.

Notes

Some filters (date ranges, type) may be silently ignored by the cloud API until MCP parity ships — prefer keyword narrowing over filter flags.
Never write secrets into search queries; queries are sent to cmem.ai.

Frequently asked questions

What does the Mem Search AI skill do?

Why use Mem Search on TypingMind?

Because you install it once and use it with any model. Mem Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mem Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedotmack/claude-mem/tree/main/cowork/skills/mem-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mem Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mem Search?

As many as you like. As long as a model supports skills, you can use Mem Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mem Search AI skill free?

Yes. It is published on GitHub by thedotmack under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Claude-Mem Search (Cowork)

How to search

Progressive search method

Diagnostics

Notes

Frequently asked questions

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