What problem does it solve?
Knowledge work scattered across books, transcripts, exports, datasets, and codebases often disappears into chat history. SwarmVault keeps a durable, local-first wiki on disk—built on the LLM Wiki three-layer pattern (raw sources, wiki, schema)—so compiled pages, graphs, dashboards, and review artifacts stay inspectable and reusable.
Core Features & Use Cases
- Broad Ingest: Parse code via tree-sitter (JS/TS, Python, Go, Rust, and more) plus non-code formats like PDF, DOCX, EPUB, XLSX, PPTX, SRT/VTT transcripts, Slack exports, email, calendars, audio, YouTube URLs, and images.
- Compile, Query, Review: Generate wiki pages, graph artifacts, and local search with
compile, query, explore, and staged approval flows via review and candidate commands.
- Graph & Sharing: Run reverse-import impact analysis with
graph blast, serve a live workspace, export HTML/Obsidian/JSON reports, or expose the vault over MCP.
- Use Case: Point it at a repository and a folder of research PDFs, run
swarmvault compile, then ask "What is the auth flow?" and get a saved, durable answer page alongside a navigable graph.
Quick Start
Ask the assistant to initialize a SwarmVault workspace in the current project, ingest your sources, compile the vault, and answer your first question from the generated wiki.