@butttons/dora
v2.0.0
Published
Fast code intelligence for AI agents. Query symbols, dependencies, and references without reading files.
Readme
dora
A CLI that turns a SCIP index into a queryable SQLite database. Gives AI agents structured answers about your codebase instead of making them grep files and read imports.
Why
When an AI agent needs to understand code, it typically reads files, searches for patterns, and traces imports manually. This is slow, burns tokens, and doesn't scale past a few hundred files.
dora pre-indexes your codebase into SQLite. Questions like "what depends on this file?", "where is this symbol used?", and "which files are most coupled?" become millisecond queries instead of multi-step explorations.
Setup
Install
Download the latest binary from the releases page:
# macOS (ARM)
curl -L https://github.com/butttons/dora/releases/latest/download/dora-darwin-arm64 -o dora
chmod +x dora && sudo mv dora /usr/local/bin/
# macOS (Intel)
curl -L https://github.com/butttons/dora/releases/latest/download/dora-darwin-x64 -o dora
chmod +x dora && sudo mv dora /usr/local/bin/
# Linux
curl -L https://github.com/butttons/dora/releases/latest/download/dora-linux-x64 -o dora
chmod +x dora && sudo mv dora /usr/local/bin/Or via npm (requires Bun):
bun install -g @butttons/doraInstall a SCIP indexer
dora needs a SCIP index to work. Install one for your language:
# TypeScript / JavaScript
npm install -g @sourcegraph/scip-typescriptOther languages: scip-java, rust-analyzer, scip-python, scip-ruby, scip-clang, scip-dotnet, scip-dart.
Initialize
cd your-project
dora init
dora indexdora init creates .dora/config.json. dora index runs the SCIP indexer and converts the output to SQLite.
Usage
Exploring a codebase
dora map # file count, symbol count, packages
dora ls src/ # files in a directory with symbol/dep counts
dora status # index health and grammar availabilityFinding code
dora symbol AuthService # find symbols by name
dora file src/auth/service.ts # symbols, dependencies, dependents for a file
dora refs validateToken # all references to a symbol across the codebaseUnderstanding dependencies
dora deps src/auth/service.ts --depth 2 # what this file imports
dora rdeps src/auth/service.ts --depth 2 # what imports this file
dora adventure src/a.ts src/b.ts # shortest path between two filesTree-sitter analysis (TypeScript / JavaScript)
These commands parse source directly without needing an index:
dora fn src/auth/service.ts # functions with complexity, params, return type, LOC
dora class src/auth/service.ts # classes with methods, implements, decorators
dora smells src/auth/service.ts # high complexity, long functions, too many params, TODOsInstall a grammar to enable these:
bun add -g tree-sitter-typescriptArchitecture
dora cycles # bidirectional dependencies (A imports B, B imports A)
dora coupling --threshold 5 # file pairs with high symbol sharing
dora complexity --sort complexity # files ranked by change risk
dora treasure # most imported files
dora lost # symbols with zero referencesDocumentation
dora docs # list indexed markdown/text files
dora docs search "authentication" # full-text search across docs
dora docs show docs/api.md # which symbols and files a doc referencesCustom queries
dora schema # database schema
dora cookbook show quickstart # walkthrough with real SQL examples
dora cookbook show methods # query patterns for finding methods
dora query "SELECT path, symbol_count FROM files ORDER BY symbol_count DESC LIMIT 10"MCP server
dora mcp # start MCP server (stdio)
# Claude Code
claude mcp add --transport stdio dora -- dora mcpOutput format
All commands output TOON by default — a compact JSON encoding optimized for LLM token usage. Pass --json for standard JSON.
dora status --jsonAI agent integration
For agent-specific setup (hooks, skills, AGENTS.md snippets) for Claude Code, OpenCode, Cursor, and Windsurf:
dora cookbook show agent-setupOr see AGENTS.README.md.
How it works
dora has two layers:
SCIP layer — runs your configured indexer (e.g. scip-typescript) to produce a .scip protobuf file, then parses it and loads it into SQLite. This gives you symbol definitions, references, and file-to-file dependencies derived from actual import resolution.
Tree-sitter layer — parses source files directly using WebAssembly grammars. This runs on-demand per file and extracts things SCIP doesn't cover: function signatures, cyclomatic complexity, class hierarchy details, and code smells.
The SQLite schema uses denormalized counts (symbol_count, dependency_count, dependent_count, reference_count) so most queries are index lookups rather than aggregations.
.dora/
├── config.json # indexer command, ignore patterns, grammar paths
├── index.scip # raw SCIP protobuf output
└── dora.db # SQLite database (the thing dora actually queries)Contributing
See CONTRIBUTING.md.
License
MIT
