The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
ScienceClaw
ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers…
Install
$
git clone https://github.com/AgentTeam-TaichuAI/ScienceClawInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →ScienceClaw
ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.
1,900+ built-in scientific tools · Multi-format content generation · Fully local & privacy-first
Why ScienceClaw · Architecture · News · Quick Start · Demo · Free API Credits · Tools & Skills · Features · Project Structure · Commands · Community · Acknowledgements
✨ Why ScienceClaw
🔒 Security First
ScienceClaw runs entirely inside Docker containers. The agent cannot access your host system, personal files, or environment variables. All code execution happens in an isolated sandbox, and generated data stays in a local ./workspace directory — nothing is uploaded to external servers. Deploy with confidence on your own machine.
👁️ Full Transparency
Every step of the agent's workflow is visible and traceable — from web search and data crawling, to reasoning and tool invocation, to final report generation. You always know where results come from, what actions were taken, and how conclusions were reached. Inspect any step at any time.
🚀 Ready Out of the Box
No tedious configuration needed. ScienceClaw ships with curated tools and skill packages — launch the entire environment with a single command. Whether you're a researcher, developer, or student, you can get started immediately. Focus on real tasks, not setup.
🏗️ Architecture
Welcome to try our official cloud version: scienceclaw.zidongtaichu.com
- 🎁 Sign-up Bonus: New users get ¥50 in trial credits upon registration
- 🎁 Referral Rewards: Both the inviter and the invitee receive ¥20 in trial credits — the more you invite, the more you earn
- 🎁 Education Email Bonus: Verify with a
.eduor.edu.cnemail and get an extra ¥50 in trial credits
📦 Quick Start
Windows Users — Desktop App (One-Click Install)
No Docker required, no command-line needed. Download the desktop installer and get started instantly.
1. Download the installer
👉 ScienceClaw Desktop v0.0.4 (.tar.gz)
2. Extract and install
After downloading, extract the archive and run the installer. Follow the setup wizard to complete installation.
3. Launch
Once installed, double-click the desktop shortcut to start ScienceClaw — ready to use out of the box.
macOS / Linux Users — Docker Deployment
📖 For a detailed step-by-step deployment guide, see Deployment Guide (中文).
Prerequisites
- Docker & Docker Compose (Docker Desktop includes Compose)
- Recommended system RAM ≥ 8 GB
Install & Launch
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