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Search markdown knowledge bases with hybrid ranking and intelligent reranking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mnemonic" yet — see the docs or source repo.
Search my Markdown knowledge base for notes related to "vector database index optimization" and rank them by relevance, prioritizing recently updated content and notes referenced by many others.
Returns a ranked list of relevant notes with matching snippets, ordered using semantics, keywords, link graph, and recency.
Find decision records in the knowledge base about "why the legacy permission module was deprecated," prioritizing the most authoritative documents closest to the final conclusion.
Outputs the most relevant decision documents with summaries, helping quickly locate key conclusions and contextual links.
Search all content in my notes related to "RAG evaluation methods" and show how the ideas evolved over time.
Returns a set of relevant notes and organizes them into a timeline of topic evolution for easy research review.
Provide a unified memory vault with hybrid search for MCP clients.
Use MCP to query knowledge hubs, search collections, and summarize documents.
Turn local notes into a private searchable knowledge base for AI assistants.
Search Markdown knowledge bases and navigate linked notes as a graph.
Automatically classify, search, and organize local Markdown notes and knowledge bases.
Give AI coding assistants local long-term memory with searchable lessons and patterns.