Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. Use when the user asks what their documents say, wants a source-cited answer from their files, says "remember this", or asks to index a PDF, DOCX, spreadsheet, image or URL.
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See how to installReview the instructions the agent will receive before you install.
Everything here is the guaardvark MCP server. All retrieval is local (Ollama embeddings,
hybrid search, cross-encoder reranking on the user's GPU).
| tool | use |
|---|---|
search_knowledge_base | the question in plain words; returns passages with sources. Cite them. |
summarize_corpus | what the whole knowledge base covers, before searching blind |
list_documents | which documents are indexed and how many passages each has |
get_document_outline | sections or pages of one document, in order |
read_document_section | the actual text of one section or page, no search |
process_file | extract content from a PDF, DOCX, CSV, Excel, image or other file the user names |
fetch_url | title, description and main text of one web page; pass query (the user's question) to get the passage about it instead of the top of the page |
web_search | web results (titles, snippets, URLs) when the answer is not local; source names the search engine that answered, and no_results says when it found nothing |
Pattern: summarize_corpus or list_documents → search_knowledge_base → read the exact
section with get_document_outline + read_document_section before quoting.
save_memory: a fact, preference or instruction to keep across sessions. Use when the user says
"remember", or states a durable preference. One fact per call.search_memory: check before assuming; recalled memories are what was true when saved.delete_memory is not exposed by this server by default, because it deletes. Find the
memory with search_memory, then delete it with DELETE /api/memory/<id> on the backend. An
operator who wants the tool over MCP adds delete_memory to server.tools.allow in
data/config/mcp.json.No reviews yet. Tell others what you thought.
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Build consistent characters, environments and props in Guaardvark's Cast Library and train LoRAs for them locally (reference photos → vision bible → sample plan → approved samples → training). Use when the user wants the same face or object across images, videos, a music video, or a Film Crew production, or asks to "train a LoRA".
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Code intelligence over repositories Guaardvark has indexed: semantic code search, exact-text search, file listing, PageRank repository map, import dependency graph, reading one class or function, analysis and generated rewrites, plus the System Mapper and self-improvement status. Use when the user asks where something is implemented, how modules depend on each other, or wants an architecture map of an indexed repo.
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Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. Turns a logline or screenplay into a finished short video with human gates at casting and storyboard. Use when the user says "film this", "make a short film", "storyboard this script", or "start the film crew".
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Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch runs of many prompts. Use when the user asks to create, draw, render, visualize, edit, or batch-generate images locally.
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Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. Use when the user pastes a huggingface.co link or a .safetensors URL, asks "can it run <model>", or wants a new LoRA or checkpoint available in the Studio.
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Generate full songs with vocals or instrumentals (ACE-Step) and sound effects or ambience (Stable Audio Open) on the user's GPU through Guaardvark's Audio Foundry. Use when the user asks for a song, a beat, a jingle, background music, or a sound effect, made locally with no subscription.
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