Scraps treats documentation like a programming language. Wiki-linked markdown becomes a typed source, compiling into a static site for readers and into JSON any agent can shell into — turning Karpathy's LLM Wiki pattern into a typed, queryable artifact. CLI primary with companion AI skills, fitting any editor and any LLM agent.
Quick start
# Install
# Compile a wiki
&&
# Query the same source from a shell or AI agent
See the Getting Started tutorial for the full flow.
How it works
graph LR
Source[Markdown sources] --> IR[Scraps IR — typed graph]
IR --> HTML[Static HTML]
IR --> JSON[CLI JSON]
Scraps reads [[wiki-link]], #[[tag]], ![[embed]], [[Page#heading]], and ctx_path as typed primitives. The same source compiles to an HTML site for human readers and to JSON for scripts and AI agents.
AI integration
CLI + JSON is the primary path — any shell-capable agent can query Scraps without an MCP client implementation. Bundled plugins provide agent-facing workflows:
scraps— Karpathy-style Ingest / Query / Lint skills for Claude Code and Codex, plus Claude Code agents for purpose-driven lint and the default Scraps LLM Wiki schemamcp-server— MCP server for MCP-compatible clients, shared across repositories viascraps mcp serve --http
See the AI integration guide for the trade-offs.
Documentation
- Documentation site — Tutorial, How-to, Reference, Explanation
- Sample wiki — Japanese knowledge base built with Scraps
Screenshots
Search, pagination, and Wiki-link navigation, themed with Nord.
Contributing
Bugs, feature requests, and PRs are welcome. See CONTRIBUTING.md, the issue templates, and the Code of Conduct.
License
MIT