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 prev...
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.
Install
Quick install
npx skills add https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/memory-searchnpx skills add davila7/claude-code-templates --skill memory-search --agent claude-codenpx skills add davila7/claude-code-templates --skill memory-search --agent cursornpx skills add davila7/claude-code-templates --skill memory-search --agent codexnpx skills add davila7/claude-code-templates --skill memory-search --agent opencodenpx skills add davila7/claude-code-templates --skill memory-search --agent github-copilotnpx skills add davila7/claude-code-templates --skill memory-search --agent windsurfMore install options
Shorthand — useful for multi-skill repos:
npx skills add davila7/claude-code-templates --skill memory-searchManual — clone the repo and drop the folder into your agent's skills directory:
git clone https://github.com/davila7/claude-code-templates.gitcp -r claude-code-templates/cli-tool/components/skills/ai-maestro/memory-search ~/.claude/skills/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.
SKILL.md source
--- name: memory-search description: 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 prev... --- # 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.
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