beita6969

beita6969 / ScienceClaw

Public

🔬🦞 A self-evolving AI research colleague for scientists. 285 skills, zero hallucination, persistent memory.

scienceclaw.science ai ai-agent bioinformatics literature-review llm
61
7
69% credibility
Found Mar 13, 2026 at 55 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ScienceClaw is a specialized AI assistant for researchers that evolves skills over time, connects to scientific databases, and ensures accurate, persistent research support.

How It Works

1
🔍 Discover ScienceClaw

You hear about this smart AI helper made just for researchers like you.

2
📥 Get it set up

Download from GitHub and run the easy one-click helper to prepare everything.

3
🚀 Launch your colleague

Fire up the research assistant and connect it to your world with a simple start.

4
🧠 Start researching

Ask it to search papers, run analyses, or check databases in your field.

5
📈 Watch it learn

As you work, it remembers your style and builds custom skills just for you.

✅ Smarter every day

Your AI colleague gets better at your research, saving time on literature and data.

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Star Growth

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AI-Generated Review

What is ScienceClaw?

ScienceClaw is a self-evolving AI research colleague built for scientists, handling literature searches, database queries, and analyses across 28+ disciplines like biomedicine and chemistry. It starts with 285 skills for autonomous research on biomedical data and evolves new ones based on your work, with persistent memory that recalls past projects and zero hallucination via strict evidence rules. Written in TypeScript on the OpenClaw engine, it offers one-click setup via a script that installs Node, Python science stacks, and research MCP servers, plus an alpha Android app for mobile access.

Why is it gaining traction?

Self-evolving AI agents on GitHub stand out by adapting to your field—learning optimal PubMed strategies or stat methods—unlike fixed-tool AIs that forget context. The dream paradigm of zero hallucination ensures every citation traces to real sources, with long-session persistence for hour-long reviews. Developers dig the runtime skill creation and cross-session memory, making it an awesome self-evolving agent for real workflows.

Who should use this?

Biomed researchers querying PubMed or UniProt, chemists analyzing PubChem, or physicists running simulations need a persistent colleague that grows with their projects. Data scientists in genomics or materials science will value the 285 evolving skills and anti-hallucination protocols for reliable outputs. Avoid if you're not in science; it's tuned for academic depth over general chat.

Verdict

Try ScienceClaw if you're a scientist chasing self-evolving AI—setup is smooth, features deliver on research promises despite 33 stars signaling early maturity. Low 0.7% credibility score reflects sparse tests and alpha Android, but docs and protocol rigor make it worth prototyping for persistent, hallucination-free workflows. (198 words)

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