Results for “semantic-search”
9 skills
dvcrn Mem0
Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.
32 · bundle
diegosouzapw Qmd
Indexes and searches local Markdown notes and docs with BM25 keyword search, vector semantic search, and local LLM reranking, all running offline without API keys.
54 · bundle
thedotmack Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations, enabling focused conversational sessions on specific topics.
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goldentrii Agent Recall
Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.
365 · bundle
demerzels-lab Gno
Index local folders and search documents with BM25, vector, or hybrid queries, plus AI answers with citations and a web UI.
10 · bundle
auto-skiller Explore
Guides developers through Socratic exploration of ideas, offering research and routing outputs to planning artifacts.
1 · bundle
drnabeelkhan Memory Palace
Detects available memory tools and maps them to a structured memory system for cross-session recall, with file-based fallback.
2 · bundle
akillness Obsidian Mind
Routes requests into the correct obsidian-mind mode: install, daily session loop, capture, review, maintenance, multi-agent wiring, or semantic search, using a ready-made Obsidian vault template for persistent agent memory.
42 · bundle
netanel-abergel Deep Recall
4-layer recall procedure (durable → semantic → PostgreSQL → daily notes) before claiming "no context". Invoke when user explicitly asks "do you remember", "what did we discuss about X", "search history". NOT a general assistant — only fires when recall is the explicit task. Drop the prior "use proactively" rule. Triggers: "do you remember", "what did we discuss", "when did", "find that conversation about".
6