Individual skill
memory-recall
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.
plugins/openclaw/skills/memory-recall/SKILL.md
Source commit 369ae1da48b76b4e87e7481a61642f4b2dbeb894
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,834
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-memory Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- memory Repository topic
- openclaw Repository topic
- rag Repository topic
- agent Repository topic
- embeddings Repository topic
- milvus Repository topic
- semantic-search Repository topic
- testing Derived category
- productivity Derived category
- productivity-notes Derived category
Files and excerpt
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SKILL.mdcore · 3,250 bytes
Read excerpt
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 (<!-- session:UUID transcript:PATH -->)
- Use for: "Show me the details", "I need more context on that result"