dora — Agent Tool by butttons

by butttons · Agent Tool · ★ 96

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About dora

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: Or via npm (requires Bun): Install a SCIP indexer dora needs a SCIP index to work. Install one for your language: Other languages: [scip-java](https://github.com/sour

ai-agentbunclaude-codeclicode-analysiscode-intelligenceopen-codescipsourcegraphsqlite

Quick Facts

Stars96
Forks3
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score69.3982260981064/100
Last Updated2026-03-10
Created2026-01-17
Platformsclaude-code, cli, node
Est. Tokens~396k

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Frequently Asked Questions

What is dora?

dora is CLI built for AI agents to help navigate codebases better. An alternative to grep/find/glob. It is categorized as a Agent Tool with 96 GitHub stars.

What programming language is dora written in?

dora is primarily written in TypeScript. It covers topics such as ai-agent, bun, claude-code.

How do I install or use dora?

You can find installation instructions and usage details in the dora GitHub repository at github.com/butttons/dora. The project has 96 stars and 3 forks, indicating an active community.

What license does dora use?

dora is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to dora?

The top alternatives to dora on Agent Skills Hub include agent-deck, termly-cli, CodeMCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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