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---
name: search-memory
description: Search past conversations using semantic search. Use when user asks about previous discussions or wants to recall past information.
allowed-tools: mcp__cc-forever-mcp__retrieve_memory
user-invocable: false
model: haiku
---
# Search Past Conversations
Search past conversations using semantic search.
## Argument Check
If `$ARGUMENTS` is empty, respond: "Please provide a search query."
**Search query:** $ARGUMENTS
## Steps
### 1. Execute Search
Call `mcp__cc-forever-mcp__retrieve_memory`:
```json
{
"query": "$ARGUMENTS",
"n_results": 5,
"threshold": 0.3
}
```
### 2. Format Results
Display results sorted by similarity:
```
Related past conversations:
### 1. (Similarity: 85%)
**Question:** {past question}
**Answer:** {summary of past answer}
**Date:** {timestamp}
**Project:** {project}
---
### 2. (Similarity: 72%)
...
```
### 3. Synthesized Answer
Based on the search results, provide an answer to the user's question:
```
---
Based on past conversations:
{answer to the question}
```
## No Results
If no relevant results found:
```
No past conversations found for "{query}".
Tips:
- Try different keywords
- Use /cc-forever:index to save conversations first
```
