---
name: recall
description: Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
---
# Recall Memory
This skill allows you to search your memory system using semantic queries.
## Workflow
1. **Formulate Your Query**:
Think about what you're trying to find:
- A solution to a specific problem (e.g., "How do I fix CORS errors?")
- A pattern or best practice (e.g., "Python async patterns")
- Historical context (e.g., "What did we decide about routing?")
2. **Run the Search**:
Execute the memory manager recall command:
```bash
uv run python .fleet/context/scripts/memory_manager.py recall "<your query>"
```
Example:
```bash
uv run python .fleet/context/scripts/memory_manager.py recall "memory system implementation"
```
3. **Review Results**:
The system will return:
- **Top matches** from semantic memory (facts, decisions)
- **Relevant skills** from procedural memory (how-tos)
- **Similarity scores** to gauge relevance
- **Source metadata** (file paths, timestamps)
4. **Refine if Needed**:
If results aren't relevant, try:
- More specific queries (add context/domain)
- Different terminology (synonyms)
- Breaking complex queries into simpler parts
## Tips
- Use **natural language** - the system uses semantic search, not keyword matching
- Be **specific** - "fix DSPy routing errors" is better than "errors"
- **Combine** with other commands: recall → apply solution → learn new variation
- Check **episodic memory** separately if you need conversation history
## Output Format
Results include:
- Matched text snippets
- Source file paths
- Relevance scores (0-1, higher = better match)
- Metadata (creation date, tags, etc.)
