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 "" Hybrid search (recommended) memory-search.sh "" --mode semantic Find conceptually related memory-search.sh "" --mode term Exact text matching memory-search.sh "" --mode symbol Code symbol matching memory-search.sh "" --role user Only user messages memory-search.sh "" --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

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.

安装