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Search and reorganize SAGA archives, folders, documents, and metadata efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SAGA" yet — see the docs or source repo.
Run a hybrid search in the SAGA document archive for documents related to '2024 customer renewal risk', rank them by relevance, and list each document's path, summary, and key metadata.
A relevance-ranked document list with locations, content summaries, and metadata details.
Review documents in the 'Unsorted' folder of the SAGA archive, reorganize them into folders by project name and year, and keep a change log.
Documents are reorganized into the proper folders, with a summary of moves and change logs.
Scan the SAGA archive for files missing the 'department', 'owner', and 'document type' fields, infer and fill in the metadata from content, and flag low-confidence items for manual review.
Completed metadata updates plus a list of low-confidence items needing manual review.
Ingest and semantically search local documents, chunks, and code blocks.
Safely retrieve, search, and analyze repository code structure for coding agents.
Turn unstructured documents into a searchable knowledge base for AI agents.
Automate Sage tasks through Rube MCP after checking current tool schemas first.
Intelligent RAG tool that chooses between private knowledge and web search.
Connect AI assistants to SOGo for email, calendar, and contact access.