specmem query¶
Search the indexed memory store with a natural language question.
Usage¶
Description¶
specmem query embeds the question, searches the configured vector backend, and
returns the most relevant memory blocks. Results can include structured specs,
living documentation, and indexed agent guidance.
Run specmem build before querying. The command uses the vector backend
configured in .specmem.toml.
Arguments¶
| Argument | Description | Required |
|---|---|---|
QUESTION |
Natural language query to search for | Yes |
Options¶
| Option | Description | Default |
|---|---|---|
--top, -k |
Number of results to return | 5 |
--path, -p |
Repository path | . |
--file, -f |
Changed file path for trace output. Repeat for multiple files. | none |
--trace |
Explain memory routing and result metadata | off |
Examples¶
Basic Query¶
Example output:
Results for: authentication requirements
1. [requirement] (score: 0.921)
.kiro/specs/auth/requirements.md
# Requirement 1
Users must authenticate with a valid session token...
Return More Results¶
Query Another Repository¶
Show Memory Trace¶
Use --trace when you want to explain why memory was loaded for a task.
Pass changed files with --file so SpecMem can show file-scoped guidance.
specmem query "What constraints apply before changing authentication?" \
--file src/auth.py \
--trace
The trace includes:
| Layer | Meaning |
|---|---|
always_on |
Pinned project guidance that applies before semantic retrieval |
file_scoped |
Guidance whose file pattern matches --file |
skills |
Procedural memory whose title, tags, or body match the query intent |
vector |
Top semantic matches from the configured vector backend |
Each result also includes trace metadata such as vector-match,
status:active, pinned, and relevant tags.
Lifecycle Filtering¶
The vector store excludes obsolete memory by default. Deprecated and legacy memory are included only when the calling API requests them. The CLI currently uses the default active-memory query behavior.