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Research-Claw

by wentorai851TypeScriptUpdated 2026-08-20

In the AI era, why can't everyone be a Principal Investigator?

Research-Claw is a locally-hosted AI research assistant agent designed for academic workflows, automating literature review, paper writing, experiment execution, and reference management. It runs entirely on your machine with 433 pre-configured academic skills, integrates with Zotero/EndNote, arXiv, OpenAlex, and other scholarly databases, and features a specialized React dashboard for managing papers, tasks, and monitoring. All research data stays local; the only external dependency is your chosen LLM API (OpenAI, Claude, or compatible endpoints).

Key Features

433 built-in academic skills across 16+ disciplines covering literature search, writing, methodology, and data analysis
Bi-directional Zotero/EndNote integration for automated tagging, classification, and BibTeX export
24/7 arXiv and academic database monitoring with IM push notifications (Telegram, Feishu, QQ, DingTalk)
Structured paper writing workflow from outline to draft with automatic citation management
Autonomous experiment execution with GPU support, automatic debugging, and human-in-the-loop decision points
Specialized React dashboard with 8 panels: Chat, Library, Workspace, Tasks, Monitoring, Quality Control, Extensions, Settings
Quality control layer with independent reviewer model for asynchronous validation of AI outputs
Local-first architecture with SQLite + FTS5, Git version control for workspace changes, and no cloud telemetry

Use Cases

  • 01Automatically classify and annotate 200+ unorganized Zotero papers by topic with one-sentence summaries
  • 02Track specific keywords, authors, and journals across arXiv/OpenAlex and receive mobile push notifications
  • 03Generate weekly research progress reports and auto-send via Telegram or Feishu every Friday morning
  • 04Draft complete Related Work sections with 40+ citations from your literature database
  • 05Autonomously reproduce experiments from arXiv papers with automatic environment setup and error resolution
  • 06Compose and send academic emails to researchers with adjustable tone from conversational prompts

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Research-Claw — FAQ

What is Research-Claw and what does it do?+

Research-Claw is a local AI research assistant agent that automates academic workflows including literature management, paper writing, experiment execution, and reference tracking. It runs entirely on your machine with all data stored locally, requiring only an LLM API key (OpenAI, Claude, or compatible).

How do I install Research-Claw?+

On macOS/Linux, run 'curl -fsSL https://wentor.ai/install.sh | bash' for one-command installation. Windows users can use Docker Desktop with the docker-install script, or WSL2 for native installation. The installer automatically configures Node.js 22, all 433 skills, and opens the browser-based setup wizard at http://127.0.0.1:28789.

Which AI clients or platforms does Research-Claw work with?+

Research-Claw is a standalone agent accessed through its own web dashboard at port 28789. It connects to LLM providers (OpenAI, Anthropic Claude, or compatible APIs) as backends, and integrates with Zotero, EndNote, Telegram, Feishu, QQ, GitHub, and Jupyter for external workflows.

What are the prerequisites and do I need API keys?+

You need Node.js 22+ (auto-installed by the script), Git, and an LLM API key (OpenAI or Anthropic Claude recommended; domestic Chinese relay APIs supported). Optional: Zotero/EndNote for reference management, Telegram/Feishu tokens for notifications, and local GPU for experiment reproduction.

Is Research-Claw free to use?+

Research-Claw is free for personal and academic research under the BSL 1.1 license (automatically converts to Apache 2.0 in March 2030). Commercial use requires separate authorization. You pay only for your chosen LLM API usage; the agent software itself has no subscription fee.

How does the quality control feature work?+

The Quality Control panel runs an independent reviewer model that asynchronously audits the main model's responses, flagging potential issues like fabricated citations or logical errors without blocking or silently replacing outputs. The reviewer model can be configured separately from the main model, and citation verification requires opt-in activation.

How do I install Research-Claw?+

Open the source repository on GitHub and follow its README. Research-Claw is a agent — MCP Agents Market links you directly to the official repo.

Is Research-Claw free?+

Research-Claw is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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