How do I install the Mem Search skill?

Run npx skillmds add majiayu000/mem-search-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mem Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mem Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mem Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mem Search?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mem Search by majiayu000 — Agent Skill

Name: Mem Search
Rating: 4.2 (5 reviews)
Author: majiayu000

Mem Search

Search through past session context and observations. Use when asking about past work, previous implementations, how something was done before, or recalling decisions. Keywords: remember, recall, last

majiayu000 ea40c9e 2 files · 3.1 KB Updated Sep 9, 2026 567 repo stars

File contents

name: mem-search description: Search through past session context and observations. Use when asking about past work, previous implementations, how something was done before, or recalling decisions. Keywords: remember, recall, last time, before, history, what did we, how did we

Memory Search - Cross-Session Context

Overview

Search through stored observations from past Claude Code sessions. Use this skill when the user asks about:

"What did we do last session?"
"How did we implement X before?"
"What bugs did we fix recently?"
"What decisions were made about Y?"
"Show me recent work on this project"

How to Use

Run the search command to query the context memory database:

python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" search "<query>"

Common Queries

Recent activity:

python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" recent

Search for specific topic:

python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" search "authentication"

Get statistics:

python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" stats

Get full context for current branch:

python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" context "branch-name"

Observation Types

The memory stores these types of observations:

Type	Symbol	Description
decision	D	Choices made about architecture, tools, approaches
bugfix	B	Bug fixes and error resolutions
feature	F	New features implemented
refactor	R	Code refactoring and cleanup
discovery	i	Information discovered during exploration
change	C	General code changes

Database Location

The context memory is stored at: ~/.claude/context_memory.duckdb

Response Format

When presenting search results:

Group by type (decisions, bugfixes, features, etc.)
Show most recent first
Include timestamp and branch if relevant
Summarize rather than dump raw data

Example Response

"Based on context memory, here's what happened:

Recent Decisions:

[2 days ago] Chose DuckDB over SQLite + Chroma for context storage
[3 days ago] Adopted tiered context injection strategy

Recent Bugfixes:

[Yesterday] Fixed authentication timeout in API routes

Recent Features:

[Today] Implemented context memory hooks"

---name: mem-search-2description: Search through past session context and observations. Use when asking about past work, previous implementations, how something was done before, or recalling decisions. Keywords: remember, recall, last--- --- name: mem-search description: Search through past session context and observations. Use when asking about past work, previous implementations, how something was done before, or recalling decisions. Keywords: remember, recall, last time, before, history, what did we, how did we --- # Memory Search - Cross-Session Context ## Overview Search through stored observations from past Claude Code sessions. Use this skill when the user asks about: - "What did we do last session?" - "How did we implement X before?" - "What bugs did we fix recently?" - "What decisions were made about Y?" - "Show me recent work on this project" ## How to Use Run the search command to query the context memory database: ```bash python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" search "<query>" ``` ### Common Queries **Recent activity:** ```bash python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" recent ``` **Search for specific topic:** ```bash python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" search "authentication" ``` **Get statistics:** ```bash python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" stats ``` **Get full context for current branch:** ```bash python3 "$CLAUDE_PROJECT_DIR/.claude/memory/context_memory.py" context "branch-name" ``` ## Observation Types The memory stores these types of observations: | Type | Symbol | Description | |------|--------|-------------| | decision | D | Choices made about architecture, tools, approaches | | bugfix | B | Bug fixes and error resolutions | | feature | F | New features implemented | | refactor | R | Code refactoring and cleanup | | discovery | i | Information discovered during exploration | | change | C | General code changes | ## Database Location The context memory is stored at: `~/.claude/context_memory.duckdb` ## Response Format When presenting search results: 1. Group by type (decisions, bugfixes, features, etc.) 2. Show most recent first 3. Include timestamp and branch if relevant 4. Summarize rather than dump raw data ## Example Response "Based on context memory, here's what happened: **Recent Decisions:** - [2 days ago] Chose DuckDB over SQLite + Chroma for context storage - [3 days ago] Adopted tiered context injection strategy **Recent Bugfixes:** - [Yesterday] Fixed authentication timeout in API routes **Recent Features:** - [Today] Implemented context memory hooks"

Frequently asked questions