Query SQLite FTS5 and Chroma indexes to retrieve timestamped conversation memories.
npx skills add https://github.com/claudeaceae/samara-main --skill recall-claudeaceae
Please help me install this Agent Skill. Skill: recall Source: https://github.com/claudeaceae/samara-main/tree/main/.claude/skills/recall Command: npx skills add https://github.com/claudeaceae/samara-main --skill recall-claudeaceae
This skill enables proactive recall of past conversations, themes, and contextual memories by querying semantic memory indexes for timely context.
Use a command like: Recall our last discussion about Q1 planning and summarize the key outcomes.
High-intent search queries and answers about installing and using this skill.
To recall past conversations, this skill queries semantic memory indexes using keyword and semantic search. It retrieves timestamped contextual memories and relevant prior discussions with source attribution.
Semantic memory search works by querying indexes with SQLite FTS5 for keyword matching and Chroma for semantic retrieval. This combination fetches precise dates, topics, and conversation excerpts.
Yes, you can find specific past decisions by using both keyword and semantic search together. The skill leverages SQLite FTS5 and Chroma to retrieve relevant memories and present timestamped results.
The best way to enrich responses with prior context is proactive memory recall. Querying semantic memory indexes retrieves past episodes, themes, and decisions to guide current advice with source attribution.
You need SQLite FTS5 and Chroma to index and search past conversations. These dependencies enable the keyword and semantic search capabilities required to retrieve historical contextual memories.
Semantic search via Chroma retrieves contextually similar past conversations even without exact keyword matches, while SQLite FTS5 handles precise keyword retrieval. Using both ensures comprehensive thematic recall.
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