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Turn local text notes into searchable long-term memory for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agrasandhany" yet — see the docs or source repo.
Connect the plain-text notes in my local notes/project folder as searchable memory, and whenever I ask about project context, decisions, or tasks, retrieve relevant notes first before answering.
The AI returns contextual project explanations, decision summaries, and related task details based on local notes.
Use my literature notes and interview records as long-term memory; when I ask about a topic, search existing notes first and summarize key points, sources, and open questions.
Outputs a research summary grounded in past notes, including conclusions, sources, and next research directions.
Connect my daily work logs and meeting notes as searchable memory; when I ask about client requirements, meeting outcomes, or last week's progress, retrieve from memory and organize the answer.
Generates accurate answers from personal history, reducing repeated searching and manual整理 time.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Provide persistent local semantic memory for MCP tools to store and search notes.
Manage and semantically search Markdown notes for Q&A and note generation.
Turn local notes into a private searchable knowledge base for AI assistants.
Manage notes and use RAG to search, ask, and summarize knowledge.
Search local markdown docs and meeting transcripts semantically without cloud or API keys.