marm_smart_recall
Find stored memories using semantic search or keyword matching. Returns ranked results with similarity scores and optional graph context.
Instructions
🧠Recall memories by semantic similarity or keyword match.
Searches stored memories for the most relevant matches to `query`.
Returns a ranked list of results with similarity scores. When a compatible
concept graph exists, the response also includes bounded relationship and
linked-code context without changing memory ranking.
Parameters:
- query: natural language search term or phrase
- session_name: limit search to a specific session (default searches active session)
- limit: maximum number of results to return (default 5)
- search_all: if True, search across all sessions instead of just the active one
- include_logs: if True, include log entries alongside memory results
- detail: controls how much content is returned per result
1 = summary only (~200 chars)
2 = extended context (~500 chars)
3 = full content
- exact_mode: retrieval lane to use
'auto' = automatically switch to exact/lexical for syntax-heavy queries
(config keys, file paths, CLI commands, API names, code snippets)
'exact' = always use deterministic FTS/BM25, no semantic re-ranking
'semantic' = always use vector similarity regardless of query shape
- project: filter results to a specific project (e.g. "marm-memory"); omit to search all
- platform: filter results to a specific platform (e.g. "claude-code", "cursor"); omit to search all
Returns: status, ranked results, graph_context, and results_count
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| detail | No | ||
| project | No | ||
| platform | No | ||
| exact_mode | No | auto | |
| search_all | No | ||
| include_logs | No | ||
| session_name | No | default |