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memory-search

Search conversation history and semantic memory to recall previous discussions, decisions, and context.

Skill by GongYuanCaiJi

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/memory-search

What's inside

Skill 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 previous conversation", "check history", or before starting work to recall prior decisions.
License
MIT
Instructions
72 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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.

From GongYuanCaiJi/dsh-claude-code-templates, MIT.

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Last commit (this folder)
Aug 15, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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memory-search skill. Agent Mart. https://agentmart.dev/skills/gongyuancaiji-memory-search (last updated 2026-10-24)