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.
Best use case
memory-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using memory-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/memory-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How memory-search Compares
| Feature / Agent | memory-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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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