Dr. Claw: An AI Scientist Workspace for Vibe Research
Researchers release Dr. Claw, an open-source auditable workspace that wraps coding agents like Claude Code for end-to-end AI-assisted research workflows.
Paper 2609.00365 presents Dr. Claw, an open-source workspace that wraps existing coding-agent executors such as Claude Code and Gemini CLI in a controllable, human-in-the-loop research workflow. It uses persistent state objects, a reusable skill library, and multi-executor coordination to make research decisions auditable and recoverable, rather than adding another autonomous agent. Holding the executor fixed, Dr. Claw scores higher on research completeness than a bare command-line agent while preserving an auditable process trail. The code is released under AGPL-3.0 on GitHub (OpenLAIR/dr-claw).
- Workspace layer wraps existing executors instead of adding another autonomous agent
- Persistent state objects and skill library link human decisions to AI execution
- Outperforms a bare CLI agent on research completeness in evaluation
- Released as open source under AGPL-3.0 with GPL-3.0 upstream components
- Organizations
- OpenLAIR
- AI models
- Dr. ClawClaude CodeGemini CLI
From the original article
1 min read at huggingface.co
Command-line coding agents (e. g. , Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-to-end research still fragments across chat tools, IDEs, terminals, and writing environments, and the decisions that make it auditable are rarely preserved.
By Dingjie Song, Hanrong Zhang, Dawei Liu · huggingface.co
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