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.