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Connect Obsidian knowledge bases for semantic search, entity extraction, and persistent memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cortex" yet — see the docs or source repo.
Connect to my Obsidian knowledge base and find past notes related to “vector database performance optimization.” Summarize the top 5 findings by relevance and include the source file paths.
A relevance-ranked summary of related notes, key findings, and their Obsidian file locations.
Analyze the meeting notes I added in the last week. Extract people, project names, technical terms, and action items, then generate an entity list and suggest link relationships to existing notes.
A structured entity list plus suggested cross-note links that can be added back to the knowledge base.
Using our previous discussions about an “AI agent evaluation framework” and the context stored in the knowledge base, continue the research plan: list unresolved questions, recommend next readings, and create an execution plan for this week.
An updated research plan that preserves prior context, plus reading recommendations and actionable next steps.
Connect Obsidian vaults for search, memory recall, and link graph analysis.
Connect AI to an Obsidian vault for notes, semantic search, and memory.
Let AI read, write, and search local Obsidian vaults directly.
Connect AI to your Obsidian vault for note reading, writing, search, and organization.
Provide private local persistent memory for AI tools to store and recall context.
Let AI directly read, edit, and search files in your Obsidian vault.