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OpenLAIR/dr-claw

A full-stack, self-hosted AI research workspace that runs Claude Code, Gemini CLI, Codex or OpenRouter models through a pipeline from literature survey to paper writing.

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What is it?

Dr. Claw is a web-based research workspace that organizes an entire research project in one place. You describe an idea in chat, the agent generates a structured research brief and task list, and the Research Lab tracks progress across survey, ideation, experiment, publication and promotion stages. Outputs such as survey reports, experiment code, analysis results, paper drafts and slide decks are written into the project directory.

The backend is multi-agent: it can drive Claude Code, Gemini CLI, Codex, or any model available through OpenRouter. An Auto Research mode runs the generated tasks sequentially and sends an email when finished. The project also ships a library of over 100 research skills that agents discover and apply automatically, plus a news feed aggregating arXiv, Hugging Face, GitHub and other sources.

Dr. Claw runs locally via npx, from source, or as a desktop app, and includes a CLI (drclaw) and an OpenClaw integration for controlling projects from a phone or chat app.

Key features

  • 01Chat-driven generation of a research brief and task pipeline
  • 02Research Lab dashboard tracking survey, ideation, experiment, publication and promotion stages
  • 03Auto Research mode that runs tasks sequentially and emails on completion
  • 04Supports Claude Code, Gemini CLI, Codex and OpenRouter models
  • 05100+ built-in research skills automatically applied by agents
  • 06Built-in file explorer, shell, and git source control

Use cases

  • Turning a rough research idea into a structured plan and task list
  • Running literature surveys and drafting reports with citations
  • Executing experiment code and analysis unattended overnight
  • Managing multiple research projects from a phone via OpenClaw

Quick start

  1. 1

    Run with npx (no setup needed)

    npx dr-claw
  2. 2

    Or install globally, then run

    npm install -g dr-claw && dr-claw
  3. 3

    Open http://localhost:3001 in your browser to create an account

Things to know

  • Requires at least one agent CLI (Claude Code, Gemini CLI, or Codex) installed and configured.
  • Some systems need native build tools for node-pty and better-sqlite3 if npm install fails.
  • The desktop app is currently in beta.

In collections

Claude Code tools, skills & pluginsOpen-source AI agent frameworks & apps

Topics

#ai-agents#research-assistant#literature-review#paper-writing#claude-code#llm#openrouter#ai-scientist#auto-research#claude-science-desktop-alternative

FAQ

What is dr-claw?
A full-stack, self-hosted AI research workspace that runs Claude Code, Gemini CLI, Codex or OpenRouter models through a pipeline from literature survey to paper writing. Dr. Claw is a web-based research workspace that organizes an entire research project in one place. You describe an idea in chat, the agent generates a structured research brief and task list, and the Research Lab tracks progress across survey, ideation, experiment, publication and promotion stages. Outputs such as survey reports, experiment code, analysis results, paper drafts and slide decks are written into the project directory.
Is dr-claw free to use? What license does it have?
dr-claw is open source under the Other license. Check the license terms before using it in commercial products.
Is dr-claw still maintained?
Actively maintained. The last commit to dr-claw was on Nov 6, 2026.
What can I use dr-claw for?
Turning a rough research idea into a structured plan and task list Running literature surveys and drafting reports with citations Executing experiment code and analysis unattended overnight Managing multiple research projects from a phone via OpenClaw
How do I install dr-claw?
Run with npx (no setup needed): npx dr-claw Or install globally, then run: npm install -g dr-claw && dr-claw Open http://localhost:3001 in your browser to create an account
Where can I get dr-claw?
The source code and installation instructions are on GitHub: https://github.com/OpenLAIR/dr-claw

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