How do I install the Memory Search skill?

Run npx skillmds@latest add metinduraktr-44/memory-search 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 Memory Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Memory 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 Memory Search free to use?

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

Who published Memory Search?

metinduraktr-44 (@metinduraktr-44) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Memory Search by metinduraktr-44 — Agent Skill

Name: Memory Search
Rating: 4.666666666666667 (3 reviews)
Author: metinduraktr-44

Memory Search

Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.

metinduraktr-44 Updated Sep 9, 2026 0 repo stars

File contents

AI Maestro Memory Search

Search your conversation history using semantic, keyword, and symbol matching. Recall past decisions, discussions, and context across sessions. Part of the AI Maestro suite.

Prerequisites

Requires AI Maestro running locally. Memory indexing uses CozoDB for vector search.

# Install memory tools
git clone https://github.com/23blocks-OS/ai-maestro-plugins.git
cd ai-maestro-plugins && ./install-memory-tools.sh

Core Behavior

Before starting any task, search memory for relevant context:

Receive instruction -> Search memory -> Then proceed

Commands

Command	Description
`memory-search.sh "<query>"`	Hybrid search (recommended)
`memory-search.sh "<query>" --mode semantic`	Find conceptually related
`memory-search.sh "<query>" --mode term`	Exact text matching
`memory-search.sh "<query>" --mode symbol`	Code symbol matching
`memory-search.sh "<query>" --role user`	Only user messages
`memory-search.sh "<query>" --role assistant`	Only assistant messages

Search Modes

Mode	Best For
`hybrid` (default)	General search, most cases
`semantic`	Related concepts, different wording
`term`	Exact function/class names
`symbol`	Code identifiers across contexts

Usage Examples

# User asks to continue previous work
memory-search.sh "authentication"

# Find a specific component discussion
memory-search.sh "PaymentService" --mode term

# Find related design discussions
memory-search.sh "error handling patterns" --mode semantic

# Find code symbol references
memory-search.sh "processPayment" --mode symbol

Combining with Other Skills

For complete context, pair with docs-search and graph-query:

memory-search.sh "feature"       # What did we discuss?
docs-search.sh "feature"         # What do docs say?
graph-describe.sh ComponentName  # What is the structure?

Full AI Maestro Experience

This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.

---name: memory-searchdescription: Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.--- # AI Maestro Memory Search Search your conversation history using semantic, keyword, and symbol matching. Recall past decisions, discussions, and context across sessions. Part of the [AI Maestro](https://github.com/23blocks-OS/ai-maestro) suite. ## Prerequisites Requires [AI Maestro](https://github.com/23blocks-OS/ai-maestro) running locally. Memory indexing uses CozoDB for vector search. ```bash # Install memory tools git clone https://github.com/23blocks-OS/ai-maestro-plugins.git cd ai-maestro-plugins && ./install-memory-tools.sh ``` ## Core Behavior Before starting any task, search memory for relevant context: ``` Receive instruction -> Search memory -> Then proceed ``` ## Commands | Command | Description | |---------|-------------| | `memory-search.sh "<query>"` | Hybrid search (recommended) | | `memory-search.sh "<query>" --mode semantic` | Find conceptually related | | `memory-search.sh "<query>" --mode term` | Exact text matching | | `memory-search.sh "<query>" --mode symbol` | Code symbol matching | | `memory-search.sh "<query>" --role user` | Only user messages | | `memory-search.sh "<query>" --role assistant` | Only assistant messages | ## Search Modes | Mode | Best For | |------|----------| | `hybrid` (default) | General search, most cases | | `semantic` | Related concepts, different wording | | `term` | Exact function/class names | | `symbol` | Code identifiers across contexts | ## Usage Examples ```bash # User asks to continue previous work memory-search.sh "authentication" # Find a specific component discussion memory-search.sh "PaymentService" --mode term # Find related design discussions memory-search.sh "error handling patterns" --mode semantic # Find code symbol references memory-search.sh "processPayment" --mode symbol ``` ## Combining with Other Skills For complete context, pair with docs-search and graph-query: ```bash memory-search.sh "feature" # What did we discuss? docs-search.sh "feature" # What do docs say? graph-describe.sh ComponentName # What is the structure? ``` ## Full AI Maestro Experience This skill is part of the [AI Maestro](https://github.com/23blocks-OS/ai-maestro) platform, which provides **6 skills** for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.

Frequently asked questions