Quicky Wiki
Turn a pile of documents into a knowledge base that scores how sure it is
- Area
- Developer tools
- Language
- TypeScript
- License
- MIT
- Latest
- v0.1.2
- Stars
- ★ 24
- Plate
- No. 09 of 14
Quicky Wiki reads your papers, notes and web pages, extracts the individual claims, and gives each one a confidence score with its source. It surfaces contradictions as they appear, lets claims strengthen or decay over time, and shows the result in a local dashboard with a knowledge graph and a chat that answers with citations. The same knowledge can be compiled to Obsidian-style markdown, slides or flashcards, and agents can use it through a built-in MCP server.
How it works
- 01
A language model extracts atomic claims from each source document and assigns each a confidence score.
- 02
Claims and an event log of every change in belief (created, reinforced, challenged, weakened, superseded, resolved) are stored in a local SQLite graph, and confidence changes cascade to dependent claims.
- 03
The graph is compiled into wiki pages, slides, flashcards and visualizations, and served through the dashboard and the MCP server.
What it does
- Every claim carries a confidence score, its provenance and the claims it depends on
- Contradictions and knowledge gaps are surfaced automatically when a new source is ingested
- Local dashboard with an interactive knowledge graph, claims, timeline, health view and Ask Wiki chat with citations
- Compiles to Obsidian-compatible markdown, Marp slides, Anki flashcards, a D3 graph and a timeline
- Built-in MCP server (stdio or HTTP) and an embeddable library export
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