By name: memory-recall
description: "Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see [memsearch] Memory available hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant, optionally deep-drill into original transcripts via the anchor format. Skip when the question is purely about current code state (use Read/Grep), ephemeral (today's task only), or the user has explicitly asked to ignore memory."
metadata:
openclaw:
emoji: "🧠"
You have three memory tools for progressive recall. Start with search, go deeper only when needed.
Tools (use progressively)
1. memory_search — Start here
Semantic search across all past conversation memories.
- Returns: chunk summaries with dates, topics, chunk_hash identifiers
- Use for: "What did we discuss about X?", "Have I asked about Y before?"
2. memory_get — When search results aren't detailed enough
Expands a specific chunk_hash to show the full markdown section with surrounding context.
- Input: chunk_hash from memory_search results
- Returns: full section text, may include transcript anchors ()
- Use for: "Show me the details", "I need more context on that result"
3. memory_transcript — When you need the exact original conversation
Parses the original session transcript to retrieve the raw dialogue.
- Input: transcript_path from the anchor comment in memory_get results
- Returns: formatted conversation with [User]/[Assistant] labels and tool calls
- Use for: "What exactly did I say?", "Show me the original conversation"
- If the anchor format is unfamiliar (e.g.
rollout:,turn:,db:instead oftranscript:), try reading the referenced file directly to explore its structure and locate the relevant conversation by the session or turn identifiers in the anchor.
Decision guide
| User intent | Tools to use |
|---|---|
| Quick recall ("did we discuss X?") | memory_search only |
| Need details ("what was the solution?") | memory_search → memory_get |
| Need original dialogue ("show me the exact conversation") | memory_search → memory_get → memory_transcript |
Tips
- memory_search returns chunk_hash — pass it to memory_get for expansion
- memory_get may reveal
<!-- session:UUID transcript:PATH -->anchors — pass the path to memory_transcript - If memory_search returns no results, try rephrasing with different keywords
- Results are sorted by relevance (hybrid BM25 + vector search)
When unsure what to search
The SessionStart injection already shows you a heading-level preview of recent memory files — skim it first to spot concrete topics (dates, session numbers, task names). If that preview doesn't surface an obvious query, try broad keywords like overview, recent work, or a topic guess — hybrid BM25 + vector retrieval will surface chunks that share any of the terms, and you can iterate from there.