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.