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Semantic Memory Search
Data & Research
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About
A semantic memory search usecase agent that enables meaning-first retrieval over OpenClaw's markdown-based memory system using vector and hybrid search.
Key Features
- Searches across weeks and months of stored memories without exact keywords.
- Finds decisions, context, and notes from any point in time.
- Uses vector embeddings for semantic similarity matching.
- Combines traditional search with AI-powered retrieval.
Core Capabilities
- semantic memory retrieval
- vector search over markdown
- hybrid keyword + semantic search
- meaning-first query matching
Reference
Agentar ratings
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onlyZeroVerified user·Mar 20, 2026
its usable, usefull
johnixVerified user·Mar 19, 2026
ngl, did what it said on the tin.
majorHazeVerified user·Mar 18, 2026
the writeup hypes Read METHODOLOGY.md. Use skills a lot; the follow-through was still handy. some sections read corporate; the examples redeemed it.
Creator
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Details
CategoryData & Research