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Plugin

scientify

by tsingyuai2.2kTypeScriptUpdated 2026-04-30

Automatic and end-to-end scientific research workflow enabled by OpenClaw. Produces state-of-the-art level research results.

Claude Code

Scientify is a Claude Code plugin built on OpenClaw that enables autonomous, end-to-end scientific research workflows. Unlike traditional one-shot AI research tools, it implements a continuous 'metabolism' model that persistently monitors academic literature, accumulates knowledge, evolves hypotheses, and autonomously executes research from literature review through experimental validation. The plugin demonstrated state-of-the-art results in controlled studies, achieving nearly double the hypothesis validation rate compared to batch-processing approaches while reducing token costs by 92%. It integrates with Claude through OpenClaw's WebUI and provides specialized skills for research survey, hypothesis generation, algorithm selection, dataset validation, and paper writing.

Key Features

Continuous knowledge metabolism: daily automatic literature monitoring from arXiv and OpenAlex with persistent knowledge base accumulation
Autonomous end-to-end research pipeline: literature survey → hypothesis generation → code implementation → review → experimental validation
Multi-agent orchestration with spawned sub-agents for implementation, review, and experimentation phases
Git-versioned Markdown knowledge base tracking hypotheses, experiments, paper notes, and conversation history
Proactive research notifications via Slack/Feishu when validated findings are discovered
Specialized ML research skills: algorithm selection, dataset validation, baseline runner, figure standardization, and paper drafting
Tool integration for arxiv_search, openalex_search, github_search, paper_browser, and code_executor in isolated uv environments
Demonstrated SOTA performance: KV2 algorithm case study showed superior TTFT and communication metrics vs. existing methods

Use Cases

  • 01Continuously tracking research frontiers in specific scientific domains with automatic hypothesis validation
  • 02Executing autonomous research projects from literature review to publishable experimental results
  • 03Cross-domain research exploration by connecting knowledge across different academic topics
  • 04Running controlled ML experiments with automated dataset validation and baseline comparisons
  • 05Generating and evolving research hypotheses based on accumulating knowledge and experimental feedback
  • 06Preparing academic papers with automated figure standardization and artifact review

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scientify — FAQ

What is Scientify?+

Scientify is an OpenClaw plugin for Claude that enables autonomous scientific research with continuous knowledge metabolism. Unlike one-shot AI tools, it persistently monitors literature, accumulates knowledge in a Git-versioned database, and autonomously executes end-to-end research workflows from survey through experimental validation.

How do I install the Scientify plugin?+

First install OpenClaw globally with pnpm/npm and run 'openclaw onboard' to configure it. Then install Scientify with 'openclaw plugins install scientify' and restart the OpenClaw gateway. Access the WebUI at http://127.0.0.1:18789 to interact with the plugin's research skills.

Which AI clients work with Scientify?+

Scientify runs on OpenClaw's platform and integrates with Claude through OpenClaw's WebUI gateway. It requires Node.js 18+, Python 3 with uv, and git for knowledge base versioning.

What API keys or prerequisites are needed?+

You need an LLM API key configured during OpenClaw onboarding (Claude Opus 4.5+ or GPT-5+ recommended for best research quality). Python 3 with uv is required for ML code execution, and git is needed for knowledge base management. Optional integrations include Slack/Feishu for proactive notifications.

Is Scientify free to use?+

Scientify is open-source under the MIT license and free to install. However, it requires LLM API access (Claude or GPT), which incurs costs based on your usage. The plugin demonstrated 92% token cost reduction compared to batch-processing approaches in controlled studies.

How does the continuous metabolism mode work?+

The Heartbeat agent automatically checks for new papers daily, the Reflection agent explores cross-domain connections, and the Pipeline agent executes full research workflows. All knowledge accumulates in a persistent Markdown database, so each iteration builds on previous findings rather than starting from scratch.

How do I install scientify?+

Open the source repository on GitHub and follow its README. scientify is a plugin — MCP Agents Market links you directly to the official repo.

Is scientify free?+

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

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