Search long-term memory by keyword with semantic retrieval and relevance scores.
npx skills add https://github.com/Acosmi/CrabClaw --skill memory-search-acosmi
Please help me install this Agent Skill. Skill: memory-search Source: https://github.com/Acosmi/CrabClaw/tree/main/docs/skills/tools/memory/memory-search Command: npx skills add https://github.com/Acosmi/CrabClaw --skill memory-search-acosmi
Memory-based retrieval of past conversations and knowledge to maintain continuity and context across sessions.
Execute a memory search query like "previous discussion on project scope" to retrieve matching memories.
High-intent search queries and answers about installing and using this skill.
Search long-term memory by keyword to retrieve past conversations and restore context. Semantic retrieval matches keyword queries against stored knowledge, returning entries with relevance scores to maintain continuity across sessions.
Semantic memory retrieval applies keyword queries across stored knowledge to locate relevant past items. It scores matched entries by relevance, allowing you to recall prior discussions and notes instead of manually searching through raw logs.
Yes, you can limit matched entries when searching stored knowledge. The semantic search supports keyword queries with an optional limit parameter, returning matched entries alongside their relevance scores for precise context restoration.
The best way to retrieve prior discussions on project scope is executing a memory search query. Semantic retrieval across UHMS memory locates matching past conversations and decisions, returning them with relevance scores for quick context restoration.
No external dependencies are required to use semantic search over UHMS memory. The Skill operates independently to apply semantic retrieval across stored knowledge, matching keyword queries and returning entries with relevance scores.
fabri07Store patterns and retrieve them via HNSW vector search.
23blocks-OSRetrieve prior discussions and decisions via memory-search.sh before starting new tasks.
AnanyaDBJStore and retrieve user preferences and conversation history with semantic search.
gujiachun-rainbowSearch archived conversations by semantic similarity or exact text matches.
